Relevant bibliographies by topics / Coefficient of variation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Coefficient of variation'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Coefficient of variation"

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Josoa Michel, Tovohery, Totohasina Andre, and Feno Daniel Rajaonasy. "The Distribution Law of Sharma's Coefficient of Variation." International Journal of Science and Research (IJSR) 11, no. 1 (January 5, 2022): 817–21. http://dx.doi.org/10.21275/sr22114164739.

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Underhill, Leslie G. "The coefficient of variation biplot." Journal of Classification 7, no. 2 (September 1990): 241–56. http://dx.doi.org/10.1007/bf01908718.

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Karim, Md Rezaul, and Meherun Nesa. "Genetic Variability, Character Association and Path Aoefficient Analysis of Sweet Pepper (Capsicum Annuum L.) Germplasms." Journal of Science and Technology Research 3, no. 1 (November 30, 2022): 95–102. http://dx.doi.org/10.3329/jscitr.v3i1.62811.

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The present investigation was carried out to investigate the genetic variability, character association, correlation and path coefficient analysis among thirty accessions of sweet pepper. Significant variations were observed for different morphological traits, yield and yield attributes among the accessions studied. For all the characters, genotypic coefficient of variation (GCV) was smaller than phenotypic coefficient of variation (PCV). The highest genotypic and phenotypic coefficients of variations were recorded in case of number of fruit per plant (46.37 and 47.66%) followed by fruit yield per plant (39.39 and 41.44%), fruit length (31.92 and 32.48%) and dry weight (31.50 and 32.00%). Correlation coefficient study indicated that fruit yield had highly significant and positive correlation with individual fruit weight (r = 0.619) and number of fruit per plant (r = 0.605). In respect of path analysis, number of fruit per plant was contributed by maximum direct effect on sweet pepper (0.603) indicating its importance as a selection parameter. J. of Sci. and Tech. Res. 3(1): 95-102, 2021
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Li, Damei, and Willi H. Hager. "Correction coefficients for uniform channel flow." Canadian Journal of Civil Engineering 18, no. 1 (February 1, 1991): 156–58. http://dx.doi.org/10.1139/l91-018.

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The kinetic energy and momentum correction coefficients are considered. After a review of pertinent literature, the discussion is restricted to uniform open channel flow. It is found both theoretically and experimentally that the coefficients depend significantly on the Manning roughness coefficient, and that the kinetic energy correction coefficient may directly be related to the momentum correction coefficient. Further, the effect of local variation of correction coefficients is much smaller than the variation of dynamic pressure times the correction coefficient. Therefore, the concept of constant coefficient as proposed earlier is justified. Key words: backwater curve, channel, distribution, flow, river.
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Sangngam, Prayad. "Ratio Estimators Using Coefficient of Variation and Coefficient of Correlation." Modern Applied Science 8, no. 5 (August 5, 2014): 70. http://dx.doi.org/10.5539/mas.v8n5p70.

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This paper introduces ratio estimators of the population mean using the coefficient of variation of study variable and auxiliary variables together with the coefficient of correlation between the study and auxiliary variables under simple random sampling and stratified random sampling. These ratio estimators are almost unbiased. The mean square errors of the estimators and their estimators are given. Sample size estimation in both sampling designs are presented. An optimal sample size allocation in stratified random sampling is also suggested. Based on theoretical study, it can be shown that these ratio estimators have smaller MSE than the unbiased estimators. Moreover, the empirical study indicates that these ratio estimators have smallest MSE compared to the existing ones.
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Banik, Shipra, B. M. Golam Kibria, and Dinesh Sharma. "Testing the Population Coefficient of Variation." Journal of Modern Applied Statistical Methods 11, no. 2 (November 1, 2012): 325–35. http://dx.doi.org/10.22237/jmasm/1351742640.

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Zemel, Désirée, Raymond T. Krediet, Gerardus C. M. Koomen, Dirk G. Struijk, and Lambertus Arisz. "Day-To-Day Variability of Protein Transport Used as a Method for Analyzing Peritoneal Permeability in CAPD." Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis 11, no. 3 (July 1991): 217–23. http://dx.doi.org/10.1177/089686089101100306.

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The transperitoneal transport of macromolecules is dependent on both effective peritoneal surface area and intrinsic permeability of the peritoneum. For passage of small solutes, the effective surface area is the main determinant. We hypothesized that day-to-day variations in peritoneal clearances are caused by changes in the effective surface area and not in the intrinsic permeability. Four CAPD {continuous ambulatory peritoneal dialysis) patients without peritonitis were investigated on 28 consecutive days. Concentrations of beta-2-microglobulin, albumin, IgG, and alpha-2-macroglobulin were determined daily in dialysate {night bags) and weekly in serum. Clearances and their coefficients of variation were calculated. Mean coefficients of the intraindividual variation of protein clearances increased, the higher the molecular weight: they ranged from 12% for beta-2microglobulin clearance to 22% for alpha-2-macroglobulin clearance. Correlations were present between the clearances of albumin, IgG, and alpha-2-macroglobulin, but not between any of these and beta-2-microglobulin clearance. In all patients, protein clearance {C) was a power function of the free diffusion coefficient in water {D) according to the equation: C=a. Db in which b represents the restriction coefficient of the peritoneum, and thus intrinsic permeability. The coefficient of variation of the restriction coefficient was low (range 4–6%). This supports our assumption that the intrinsic permeability is fairly constant on the short term. Day-to-day variations in protein clearances are thus mainly caused by alterations in the effective peritoneal surface area. Longterm follow-up of the restriction coefficient in individual patients might identify those at risk for the development of structural changes in the peritoneal membrane.
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Bendel, R. B., S. S. Higgins, J. E. Teberg, and D. A. Pyke. "Comparison of skewness coefficient, coefficient of variation, and Gini coefficient as inequality measures within populations." Oecologia 78, no. 3 (1989): 394–400. http://dx.doi.org/10.1007/bf00379115.

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Kuban, Karl C. K., Helen Skouteli, Allen Cherer, Elizabeth Brown, Alan Leviton, Marcello Pagano, Elizabeth Allred, and Kathleen F. Sullivan. "Hemorrhage, Phenobarbital, and Fluctuating Cerebral Blood Flow Velocity in the Neonate." Pediatrics 82, no. 4 (October 1, 1988): 548–53. http://dx.doi.org/10.1542/peds.82.4.548.

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Fifty-one sequential intubated babies with birth weights of less than 1,751 were evaluated by serial Doppler ultrasound during the first three days of life. These babies were part of a phenobarbital prophylaxis trial cohort study. Subependymal-intraventricular hemorrhage developed in 17 of the babies. Infants with subependymal-intraventricular hemorrhage, whether or not they received pancuronium or phenobarbital, had coefficients of variation comparable to those of babies without hemorrhage. Coefficient of variation values of the right were comparable to values obtained from the left anterior cerebral artery complex and did not appear to be consistently altered by the presence of subependymal-intraventricular hemorrhage. Coefficient of variation values appeared to be consistently greatest on day 1 and lowest on day 2. In addition, the values overall increased as the number of waves used to determine the coefficient of variation enlarged from five to 20. This phenomena, however, was not seen among pancuronium recipients and suggests that movement artifact may be a determinant of coefficient of variation values. We conclude that, when the best 20 waves are chosen to evaluate the coefficient of variation, no association exists between coefficient of variation values and development of subependymal-intraventricular hemorrhage or administration of phenobarbital.
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Perko, Janez, and Ravi A. Patel. "Diffusion velocity lattice Boltzmann formulation applied to transport in macroscopic porous media." International Journal of Modern Physics C 25, no. 12 (December 2014): 1441006. http://dx.doi.org/10.1142/s012918311441006x.

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This paper describes the application of a single relaxation time (SRT) lattice Boltzmann scheme to the transport in porous media with large spatial variations of diffusion coefficients. Effective diffusion coefficients can vary substantially within porous media because of their dependence on porosity and tortuosity which can span over several orders of magnitude, depending on pore size and connectivity. Moreover, when mass is transported with pore-water in porous media, the hydrodynamic dispersion, which depends on Darcy's velocity, contributes additionally to the usually anisotropic variation of the dissipative term. In contrast to the traditional treatment of spatially variable diffusion coefficient by the variation of a SRT, here the variability is accommodated through the use of diffusion velocity formulation which allows for larger variabilities of diffusion coefficient. The volume averaged properties of mass transport in macroscopic porous media are resolved through the additional source term which is similar to the existing force adjusting methods. The applicability of both the proposed schemes is demonstrated on two examples. The first demonstrates that the method is accurate for the large variation of diffusion coefficients and porosities. The second example introduces mass diffusion in a real, geometrically complex system with spatially contrasting properties.
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Dissertations / Theses on the topic "Coefficient of variation"

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Chandler, I. D. "Vertical variation in diffusion coefficient within sediments." Thesis, University of Warwick, 2012. http://wrap.warwick.ac.uk/49612/.

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River ecosystems can be strongly in uenced by contaminants in the water column, in the pore water and attached to sediment particles. Current models [TGD, 2003] predict exposure to sediments based on equilibrium partitioning between dissolved and suspended-particle-sorbed phase in the water column despite numerous studies showing significant direct mass transfer across the sediment water interface. When exchange across the interface (hyporheic exchange) is included in modelling the diffusion coefficient is assumed to be constant with depth. The overall aims of this research were to quantify the vertical variation in diffusion coefficient below the sediment water interface and asses the use of a modified EROSIMESS-System (erosimeter) in the study of hyporheic exchange. The modified erosimeter and novel fibre optic uorometers measuring in-bed concentrations Rhodamine WT were employed in an experimental investigation. Five different diameter glass sphere beds (0.15 to 5.0mm) and five bed shear velocities (0.01 to 0.04m/s) allowed the vertical variation in diffusion coefficient to be quantified to a depth of 0.134m below the sediment water interface. The vertical variation in diffusion coefficient can be described using an exponential function that was found to be consistent for all the parameter combinations tested. This function, combined with the scaling relationship proposed by O'Connor and Harvey [2008] allows a prediction of the diffusion coefficient below the sediment water interface based on bed shear velocity, roughness height and permeability. 1D numerical diffusion model simulations using the exponential function compare favourably with the experimental data.
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曾達誠 and Tat-shing Tsang. "Statistical inference on the coefficient of variation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31223503.

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Tsang, Tat-shing. "Statistical inference on the coefficient of variation /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21903980.

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Achouri, Ali. "Cartes de contrôle pour le coefficient de variation." Nantes, 2014. http://archive.bu.univ-nantes.fr/pollux/show.action?id=7658d471-1a91-4022-9493-9f85b2a06a86.

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La Maîtrise Statistique des Procédés (MSP) est une méthode de suivi de la production basée sur les statistiques. Elle se base essentiellement sur les cartes de contrôle. Une hypothèse indispensable pour le développement des cartes de contrôle est que les paramètres μ0 et 0 du procédé sous-contrôle soient supposés constants. Mais, dans la pratique, il existe de nombreux procédés pour lesquels ces paramètres peuvent être variables. Dans cette optique, le recours au coefficient de variation est une alternative intéressante. Dans cette thèse, nous avons essayé de systématiquement proposer de nouvelles cartes de contrôle pour le coefficient de variation qui n’ont pas encore été traitées jusqu’à présent dans la littérature. Des cartes de contrôle avec règles supplémentaires, des cartes VSI, VSS sont proposées pour le coefficient de variation lorsque les paramètres sont connus. De plus, une carte de type Shewhart pour le coefficient de variation avec paramètres estimés est aussi proposée. Les performances de chacune des cartes ont été évaluées et les paramètres optimaux ont été systématiquement calculés. Une validation empirique des résultats a été élaborée dans des processus industriels existants
The Statistical Process Control (SPC) is an effective method based on statistics and used to monitor production. Control charts are the most important and primary tools of SPC. An indispensable assumption for the development of control charts is that the process parameters μ0 and 0 are assumed constant. In practice, the process parameters are often variables and the use of the coefficient of variation seems to be an interesting alternative. In this thesis, we will investigate the properties (in terms of the Run Length) of some control charts for the coefficient of variation in the case of known parameters, which have not been researched till now, such as Run Rules Chart, VSI Chart and VSS Chart. In addition, a Shewhart control chart for the coefficient of variation with estimated parameters is proposed. The performance of each control chart has been evaluated and the optimal parameters were systematically computed. An empirical validation of the results has been developed for real industrial processes
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Byars, Beverly J. "Variation of the drag coefficient with wind and wave state." Thesis, Monterey, Calif. : Naval Postgraduate School, 1985. http://catalog.hathitrust.org/api/volumes/oclc/52763691.html.

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Amdouni, Asma. "Surveillance statistique du coefficient de variation dans un contexte de petites séries." Nantes, 2015. http://archive.bu.univ-nantes.fr/pollux/show.action?id=dcf36868-32b2-41d6-916b-f9533ee12902.

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La maîtrise statistique des procédés (MSP) est une méthode de contrôle de la qualité basée sur les statistiques. La surveillance du coefficient de variation est une approche efficace à la MSP lorsque la moyenne du processus µ et son écart type σ ne sont pas constants mais leur rapport est constant. Jusqu’à présent, les études portant sur la surveillance du coefficient de variation se sont limitées au cas d’une production avec un horizon infini. Cette thèse présente de nouvelles cartes de contrôle pour surveiller le coefficient de variation dans le contexte fini lorsque les paramètres sont connus : des cartes de contrôle séparées de type Shewhart, des cartes avec des règles supplémentaires et des cartes VSI et VSS. Les paramètres optimaux ont été systématiquement calculés et les performances de chacune de ces cartes ont été également évaluées en développant de nouvelles mesures statistique de performance appropriées dans un contexte de production à horizon fini. Une validation empirique des résultats a été élaborée pour des procédés industriels existants
Statistical Process Control (SPC) is a method of quality control based on statistics and used to monitor production. Monitoring the coefficient of variation is an effective approach to SPC when the process mean µ and standard deviation σ are not constant but their ratio is constant. Until now, research has not investigated the monitoring of the coefficient of variation for short production runs. Viewed under this perspective, in this thesis, we will propose new methods to monitor the coefficient of variation for a finite horizon production, we will investigate the properties (in terms of the Truncated Run Length) of some control charts for the coefficient of variation in a Short Run context in the case of known parameters, such as the one-sided Shewhart Chart, the Run Rules Chart, the VSI and VSS Charts. The performance of each control chart has been evaluated by developing statistical measures of performance appropriate in a Short Run context and the optimal parameters were systematically computed. An empirical validation of the results has been developed for real industrial processes
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Beale, James H. "Internal flow subjected to an axial variation of the external heat transfer coefficient." Thesis, Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/91162.

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A theoretical investigation of internal flow subjected to an axial variation of the external convection coefficient is presented. Since the variable boundary condition parameter causes the problem to become nonseparable, conventional techniques do not apply. Instead, the Green's function technique is used to convert the governing partial differential equations into a singular Volterra integral equation for the temperature of the fluid at the wall. The integral equation is resolved numerically by the trapezoid rule with the aid of a singularity subtraction procedure. The solution methodology is developed in terms of a fully turbulent flow which is shown to contain fully laminar and slug flow as special cases. Before examining the results generated by numerical solution of the integral equation, a thorough study is made of each of the building blocks required in the solution procedure. A comparison of the respective dimensionless velocity profiles and dimensionless total diffusivities for each of the flow models is presented. Next, an analysis of the eigenvalue problem for each flow model is presented with consideration given to the normalized eigenfunctions and the eigenvalues themselves. Finally, the singular nature of the Green's function is examined showing the effect of the parameters Ho, Re and Pr. The technique is applied to study the heat transfer from a finned tube. A parameter study is presented to examine the effects of the external finning and the flow model. The effect of external finning is examined through specific variations of the external convection coefficient, while the flow model is selected through the velocity profile and eddy diffusivity. In examining turbulent flow, the effects of the parameters, Re and Pr, are considered.
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Archer, Robert Joseph 1957. "Effects of spacial variation of the thermal coefficient of expansion on optical surfaces." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276887.

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The deformation of a mirror's optical surface due to a spacial variation of the coefficient of thermal expansion is examined. Four types of variations of the coefficient of thermal expansion are studied. These represent variations which result after typical manufacturing and/or fabrication processes. Equations describing the deformations resulting from the variations in the coefficient of thermal expansion are derived for some of the cases. Deformations due to more complex variations in the coefficient of thermal expansion are developed empirically using data generated by the finite-element method.
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Fike, Gregory Michael. "Using Infrared Thermography to Image the Drying of Polymer Surfaces." Thesis, Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4808.

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During the drying of a surface, the liquid evaporation acts to keep the temperature relatively constant, due to evaporative cooling. As the drying nears completion the liquid film begins to break, exposing areas that are no longer cooled through evaporation, which begin to heat. Although this heating can be measured with an Infrared (IR) camera, the sensitivity is often not sufficient to recognize the point at which the film breaks. Complicating the measurement is the changing emissivity that commonly occurs as objects dry. The sensitivity and emissivity issues can be addressed by analyzing the temperature in the area of interest and computing the coefficient of variance (COV) of the temperature. This technique is compared to temperature and standard deviation measurements made with an IR camera and the COV technique is shown to be superior for determining when the liquid film breaks. The film breakage point is found to vary with temperature and material roughness in two industrially significant applications: the drying of wood flakes and the drying of polymer films. Film breakage in wood flakes is related to detrimental finished quality problems and also to emission problems. The rate at which an adhesive dries affects the roughness of the polymer film and subsequently, the bond strength. The COV technique is used to predict the roughness of the finished polymer film. Use of the COV technique allows the drying of a liquid film to be visualized in a way that has been previously unreported.
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Kane, David Alan. "Penetration Depth Variation in Atomic Layer Deposition on Multiwalled Carbon Nanotube Forests." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7124.

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Atomic Layer Deposition (ALD) of Al2O3 on tall multiwalled carbon nanotube forests shows concentration variation with the depth in the form of discrete steps. While ALD is capable of extremely conformal deposition in high aspect ratio structures, decreasing penetration depth has been observed over multiple thermal ALD cycles on 1.3 mm tall multiwalled carbon nanotube forests. SEM imaging with Energy Dispersive X-ray Spectroscopy elemental analysis shows steps of decreasing intensity corresponding to decreasing concentrations of Al2O3. A study of these steps suggests that they are produced by a combination of diffusion limited delivery of precursors with increasing precursor adsorption site density as discrete nuclei grow during the ALD process. This conceptual model has been applied to modify literature models for ALD penetration on high aspect ratio structures, allowing several parameters to be extracted from the experimental data. The Knudsen diffusion constant for trimethylaluminum (TMA) in these carbon nanotube forests has been found to be 0.3 cm2s-1. From the profile of the Al2O3 concentration at the steps, the sticking coefficient of TMA on Al2O3 was found to be 0.003.
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Books on the topic "Coefficient of variation"

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United States. Environmental Protection Agency. Office of Radiation and Indoor Air, United States. Dept. of Energy. Office of Environmental Restoration, and United States. Environmental Protection Agency. Office of Air and Radiation, eds. Understanding variation in partition coefficient, Kd, values: A cooperative effort. [Washington, D.C.?]: U.S. Environmental Protection Agency, Office of Air and Radiation, 1999.

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George C. Marshall Space Flight Center., ed. The temperature variation of hydrogen diffusion coefficients in metal alloys. [Marshall Space Flight Center, Ala.]: National Aeronautics and Space Administration, George C. Marshall Space Flight Center, 1990.

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United States. Environmental Protection Agency. Office of Air Quality Planning and Standards, ed. Understanding Variation In Partition Coefficient, KD, Values... Volume II: Review Of Geochemistry And Available KD Values For Cadmium Chromium..., U.S. Environmental Protection Agency... Aug. 1998. [S.l: s.n., 1999.

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Forest Products Laboratory (U.S.), ed. Confidence bounds for normal and lognormal distribution coefficients of variation. [Madison, Wis.]: U.S. Dept. of Agriculture, Forest Service, Forest Products Laboratory, 2003.

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Verrill, S. P. Confidence bounds and hypothesis tests for normal distribution coefficients of variation. Madison, WI: USDA, Forest Service, Forest Products Laboratory, 2007.

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Manichev, Vladimir, Valentina Glazkova, and Кузьмина Анастасия. Numerical methods. The authentic and exact solution of the differential and algebraic equations in SAE systems of SAPR. ru: INFRA-M Academic Publishing LLC., 2016. http://dx.doi.org/10.12737/13138.

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In the manual classical numerical methods are considered and algorithms for the decision of systems of the ordinary differential equations (ODE), nonlinear and linear algebraic equations (NAU and LAU), and also ways of ensuring reliability and demanded accuracy of results of the decision. Ideas, which still not are stated are reflected in textbooks on calculus mathematics, namely: decision systems the ODE without reduction to a normal form of Cauchy resolved rather derivative, and refusal from any numerical an equivalent - nykh of transformations of the initial equations of mathematical models and is- the hodnykh of data because such transformations can change properties of models at a variation of coefficients in corresponding urav- neniyakh. It is intended for students, graduate students and teachers of higher education institutions in the direction of preparation "Informatics and computer facilities". The grant will also be useful for engineers and scientists on the corresponding specialties.
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Coefficient of Variation and Machine Learning Applications. Taylor & Francis Group, 2019.

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Bindu, K. Hima, M. Raghava, Nilanjan Dey, and C. Raghavendra Rao. Coefficient of Variation and Machine Learning Applications. CRC Press, 2019. http://dx.doi.org/10.1201/9780429296185.

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Coefficient of Variation and Machine Learning Applications. Taylor & Francis Group, 2019.

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Dey, Nilanjan, K. Hima Bindu, Raghava Morusupalli, and C. Raghavendra Rao. Coefficient of Variation and Machine Learning Applications. Taylor & Francis Group, 2019.

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Book chapters on the topic "Coefficient of variation"

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Brown, Charles E. "Coefficient of Variation." In Applied Multivariate Statistics in Geohydrology and Related Sciences, 155–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-80328-4_13.

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Stȩpniak, Czesław. "Coefficient of Variation." In International Encyclopedia of Statistical Science, 267. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_177.

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Gooch, Jan W. "Coefficient of Variation." In Encyclopedic Dictionary of Polymers, 975. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15183.

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Nahler, Gerhard. "coefficient of variation (CV)." In Dictionary of Pharmaceutical Medicine, 31. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_235.

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Bertoluzza, Carlo, Rosa Casals, Gloria Naval, and Antonia Salas. "An Alternative to the Variation Coefficient." In Studies in Systems, Decision and Control, 45–54. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73848-2_4.

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Bayarri, M. J., M. H. DeGroot, and P. K. Goel. "Truncation, Information, and the Coefficient of Variation." In Contributions to Probability and Statistics, 412–28. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3678-8_29.

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Weiß, Christian H. "On the Sample Coefficient of Nominal Variation." In Springer Proceedings in Mathematics & Statistics, 239–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28665-1_18.

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McCullagh, P., and J. A. Nelder. "Models for data with constant coefficient of variation." In Generalized Linear Models, 285–322. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-3242-6_8.

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Hima Bindu, K., and C. Raghavendra Rao. "Coefficient of Variation Based Decision Tree for Fuzzy Classification." In Advances in Intelligent Systems and Computing, 139–49. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27212-2_11.

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Jin, Jianhua, and Yang-ren Wang. "Effects of Water and Nutrition on Photoassimilates Partitioning Coefficient Variation." In Computer and Computing Technologies in Agriculture VII, 309–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54341-8_33.

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Conference papers on the topic "Coefficient of variation"

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Cummings, Scott, Tom McCabe, Glenn Guelde, and Dan Gosselin. "Brake Shoe Coefficient of Friction Variation." In ASME 2009 Rail Transportation Division Fall Technical Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/rtdf2009-18022.

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A series of dynamometer tests were conducted by the Wheel Defect Prevention Research Consortium (WDPRC) to quantify the amount of expected variation in brake shoe coefficient of friction (COF) and resulting wheel temperature throughout the life of an individual brake shoe. Variations in brake shoe COF within an individual railcar are one potential source of elevated wheel temperatures and thermal mechanical shelling (TMS) damage to the wheels. High friction composition and tread conditioning brake shoes were installed in the “as manufactured” condition with no wear-in or machining at the beginning of the test matrix which consisted of seventeen stop tests and twelve grade tests. For each brake shoe tested, the average COF and maximum wheel temperature were recorded during eleven identical light grade tests interspersed throughout the test matrix.
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Minhas, Tahir Nawaz, Markus Fiedler, and Patrik Arlos. "Quantification of packet delay variation through the coefficient of throughput variation." In the 6th International Wireless Communications and Mobile Computing Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1815396.1815474.

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Abbasi, Saddam Akber, Mohamed Abbas Mohamed, Mohamed Adil Ahmed, Rommel Joseph Lajara, and Hadi Fadel Hadi. "Monitoring Coefficient of Variation Using Progressive Mean Technique." In 2019 8th International Conference on Industrial Technology and Management (ICITM). IEEE, 2019. http://dx.doi.org/10.1109/icitm.2019.8710714.

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Ren, Shuhua, and Alin Fan. "K-means clustering algorithm based on coefficient of variation." In 2011 4th International Congress on Image and Signal Processing (CISP 2011). IEEE, 2011. http://dx.doi.org/10.1109/cisp.2011.6100578.

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Sun, Tiandong, Jun Wang, and Chaochen Wang. "TOPSIS threat assessment based on the coefficient of variation." In 2020 39th Chinese Control Conference (CCC). IEEE, 2020. http://dx.doi.org/10.23919/ccc50068.2020.9188889.

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Jiafeng, Zhu, Li Ruifeng, Chen Xia, and Chen Gui. "Resampling algorithm based on sample similarity and variation coefficient." In 2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT). IEEE, 2022. http://dx.doi.org/10.1109/iccasit55263.2022.9986565.

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Bernhardt, John E., Jadran Mihailovic, Carlos F. Jines, Aziz Abouel-Fotouh, Thomas C. Corke, and David R. Williams. "Lift Coefficient Variation on a Cylinder Forced to Oscillate." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-0052.

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Abstract The instantaneous pressure distribution around the azimuth of a cylinder undergoing forced oscillations is measured using an array of 18 miniature microphones. The microphones were placed at the midspan of the cylinder with 20 degree increments between each sensor. The Reynolds number for the experiments was 13,800. The cylinder is driven in a sinusoidal motion by a printed circuit motor with an amplitude A/D = 0.18 and with bare winding numbers (Ω = f/fn) of 0 ≤ Ω ≤ 1.1. Regions of lock-in between the cylinder motion and the lift coefficient were observed at dressed winding numbers of ω = 2:3, 1:2 and 1:1. Phase diagrams show two distinctly different synchronization mechanisms, one fundamental and the other a subharmonic type, which supports the findings of Ongoren and Rockwell (1988).
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Eggert, R. J. "Fatigue Life Simulation for Reliable Thick-Walled Cylinder Design." In ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0093.

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Abstract Primary considerations for hydraulic cylinder and piston design include loading, geometry and material properties. However, variations in as-manufactured dimensions, as-processed material properties, and actual pressure histories propagate through the piston-seal-cylinder system often resulting in intolerable behaviors. Variations are evaluated using design variation simulation, namely the Monte Carlo simulation technique and available statistical information, to evaluate a high-pressure piston-seal-cylinder system for servo-hydraulic fatigue testing experiments. The numerical results indicate that the fatigue life as measured by number of cycles to failure, has a significant 140.8% coefficient of variation and 57.2% reliability for nominal design values. When the coefficients of variation of the input variables are maintained below 1%, the fatigue life coefficient of variation is approximately 13.3% and the reliability is 99.06%.
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Jhingran, Vikas, Vivek Jaiswal, and J. Kim Vandiver. "Spatial Variation of Drag on Long Cylinders in Sheared Flow." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57803.

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A method is described for measuring the local drag coefficient on a long cylinder which exhibits vortex-induced vibration (VIV). Results are shown from a field experiment in which a long flexible pipe was instrumented with two-hundred and eighty fiber optic strain gauges. The measured local drag coefficients are compared to a commonly used drag coefficient prediction formula. The formula is shown to be useful as a tool for predicting the average drag coefficients for the whole cylinder but is not able to accurately capture local variation in CD. The local CD measurements also reveal the location of VIV source regions.
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Bejestan, Mahmood Shafai, and Mohammad Bahrami Yarahmadi. "River Bed Resistance Coefficient Variation of Different Sediment Particle Shapes." In World Environmental And Water Resources Congress 2012. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412312.158.

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Reports on the topic "Coefficient of variation"

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Weller, Joel I., Derek M. Bickhart, Micha Ron, Eyal Seroussi, George Liu, and George R. Wiggans. Determination of actual polymorphisms responsible for economic trait variation in dairy cattle. United States Department of Agriculture, January 2015. http://dx.doi.org/10.32747/2015.7600017.bard.

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The project’s general objectives were to determine specific polymorphisms at the DNA level responsible for observed quantitative trait loci (QTLs) and to estimate their effects, frequencies, and selection potential in the Holstein dairy cattle breed. The specific objectives were to (1) localize the causative polymorphisms to small chromosomal segments based on analysis of 52 U.S. Holstein bulls each with at least 100 sons with high-reliability genetic evaluations using the a posteriori granddaughter design; (2) sequence the complete genomes of at least 40 of those bulls to 20 coverage; (3) determine causative polymorphisms based on concordance between the bulls’ genotypes for specific polymorphisms and their status for a QTL; (4) validate putative quantitative trait variants by genotyping a sample of Israeli Holstein cows; and (5) perform gene expression analysis using statistical methodologies, including determination of signatures of selection, based on somatic cells of cows that are homozygous for contrasting quantitative trait variants; and (6) analyze genes with putative quantitative trait variants using data mining techniques. Current methods for genomic evaluation are based on population-wide linkage disequilibrium between markers and actual alleles that affect traits of interest. Those methods have approximately doubled the rate of genetic gain for most traits in the U.S. Holstein population. With determination of causative polymorphisms, increasing the accuracy of genomic evaluations should be possible by including those genotypes as fixed effects in the analysis models. Determination of causative polymorphisms should also yield useful information on gene function and genetic architecture of complex traits. Concordance between QTL genotype as determined by the a posteriori granddaughter design and marker genotype was determined for 30 trait-by-chromosomal segment effects that are segregating in the U.S. Holstein population; a probability of <10²⁰ was used to accept the null hypothesis that no segregating gene within the chromosomal segment was affecting the trait. Genotypes for 83 grandsires and 17,217 sons were determined by either complete sequence or imputation for 3,148,506 polymorphisms across the entire genome. Variant sites were identified from previous studies (such as the 1000 Bull Genomes Project) and from DNA sequencing of bulls unique to this project, which is one of the largest marker variant surveys conducted for the Holstein breed of cattle. Effects for stature on chromosome 11, daughter pregnancy rate on chromosome 18, and protein percentage on chromosome 20 met 3 criteria: (1) complete or nearly complete concordance, (2) nominal significance of the polymorphism effect after correction for all other polymorphisms, and (3) marker coefficient of determination >40% of total multiple-regression coefficient of determination for the 30 polymorphisms with highest concordance. The missense polymorphism Phe279Tyr in GHR at 31,909,478 base pairs on chromosome 20 was confirmed as the causative mutation for fat and protein concentration. For effect on fat percentage, 12 additional missensepolymorphisms on chromosome 14 were found that had nearly complete concordance with the suggested causative polymorphism (missense mutation Ala232Glu in DGAT1). The markers used in routine U.S. genomic evaluations were increased from 60,000 to 80,000 by adding markers for known QTLs and markers detected in BARD and other research projects. Objectives 1 and 2 were completely accomplished, and objective 3 was partially accomplished. Because no new clear-cut causative polymorphisms were discovered, objectives 4 through 6 were not completed.
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Verrill, Steve. Confidence bounds for normal and lognormal distribution coefficients of variation. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2003. http://dx.doi.org/10.2737/fpl-rp-609.

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Verrill, Steve P., and Richard A. Johnson. Confidence bounds and hypothesis tests for normal distribution coefficients of variation. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory, 2007. http://dx.doi.org/10.2737/fpl-rp-638.

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Sun, Liyang, and Jesse Shapiro. A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure. Cambridge, MA: National Bureau of Economic Research, April 2022. http://dx.doi.org/10.3386/w29976.

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Peitz, David, and Naomi Reibold. White-tailed deer monitoring at Arkansas Post National Memorial, Arkansas: 2005–2020 trend report. Edited by Tani Hubbard. National Park Service, April 2021. http://dx.doi.org/10.36967/nrr-2285087.

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From 16 years (2005–2020) of monitoring trends in white-tailed deer within a defined survey area of Arkansas Post National Memorial, we have been able to demonstrate both population declines and recoveries. The adjusted count of deer had a seven-fold increase between 2007 and 2011 following a two-year decline and a three-fold increase between 2017 and 2019 following a six-year decline. Overall, the deer population has declined slightly, averaging a 0.5% reduction in herd size annually. The number of deer in the survey area ranged from 16.77 ± 21.26 (mean + 95% CI) individuals/km2 in 2007 to 118.95 ± 39.03 individuals/km2 in 2011. The amount of visible area surveyed each year varied between 0.25 and 0.47 km2 (coefficient of variation = 16.47%). If the white-tailed deer population becomes too large, this poses several problems for Arkansas Post National Memorial. First, it adds a level of complexity to implementing active natural resource management critical to preventing the cultural landscapes of Arkansas Post National Memorial from changing into something that has little resemblance to the historical character of the park. Deer deferentially browse native vegetation over exotic vegetation, thus promoting the spread of exotic species, and the success of tree planting can be curtailed by heavy deer browsing. Second, controlling deer related disease, some of which can affect domestic livestock and human health in and around the park, becomes increasingly difficult when there are more deer. Third, as additional ancillary data suggests, the largely unreported and costly deer-vehicle collisions in and around Arkansas Post National Memorial have the potential to increase if the deer populations grow.
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Bray, Elizabeth, Zvi Lerner, and Alexander Poljakoff-Mayber. The Role of Phytohormones in the Response of Plants to Salinity Stress. United States Department of Agriculture, September 1994. http://dx.doi.org/10.32747/1994.7613007.bard.

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Salinity is an increasing problem in many irrigated areas of crop production and is a significant factor in reducing crop productivity. Developmental, physiological, and molecular responses to salinity were studied in order to improve our understanding of these responses. Improvements in our understanding of plant responses to salinity are necessary in order to develop crops with improved salt tolerance. Previously, in Israel, it was shown that Sorghum biccolor can adapt to an otherwise lethal concentration of NaCl. These experiments were refined and it was shown that there is a specific window of development in which this adaption can occur. Past the window of development, Sorghum plants can not be adapted. In addition, the ability to adapt is not present in all genotypes of Sorghum. Cultivars that adapt have an increased coefficient of variation for many of the physiological parameters measured during the mid-phase of adaptation. Therefore, it is possible that the adaptation process does not occur identically in the entire population. A novel gene was identified, isolated and characterized from Sorghum that is induced in roots in response to salinity. This gene is expressed in roots in response to salt treatments, but it is not salt-induced in leaves. In leaves, the gene is expressed without a salt treatment. The gene encodes a proline-rich protein with a novel proline repeat, PEPK, repeated more than 50 times. An antibody produced to the PEPK repeat was used to show that the PEPK protein is present in the endodermal cell wall of the root during salt treatments. In the leaves, the protein is also found predominantly in the cell wall and is present mainly in the mesophyll cells. It is proposed that this protein is involved in the maintenance of solute concentration.
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Paul, M. K., and A. K. Goodacre. An investigation of statistical models of the variation of density inside the Earth, based on geopotential coefficients. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128050.

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Peitz, David. White-tailed deer monitoring at Wilson’s Creek National Battlefield, Missouri: 2005–2022 trend report. Edited by Tani Hubbard. National Park Service, November 2022. http://dx.doi.org/10.36967/2295163.

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The Heartland Inventory and Monitoring Network has monitored white-tailed deer over an 18-year period (2005–2022) within a defined survey area of Wilson’s Creek National Battlefield, documenting both a rapid decline and recovery in the population. The rapid die-off was the result of a region-wide hemorrhagic disease outbreak reported by the Missouri Department of Conservation that started in the fall of 2005, six months after we initiated deer monitoring. Although declines occurred 2005 to 2007, 2016 to 2017, and 2019 to 2022, the deer population still increased on average by 7.2% annually. The number of deer in the survey area ranged from a low of 14.9 ± 10.1 (mean ± 95% CI) individuals/km2 in 2007 to a high of 167.2 ± 57.4 individuals/km2 in 2016. The visible area surveyed each year varied between 0.7 and 1.1 km2 (coefficient of variation = 14.1%). Annual deer harvest data in the area nearby Wilson’s Creek National Battlefield exhibit similar trends to our annual adjusted counts suggesting that factors other than hunting maybe driving annual changes in deer population size in most years. However, these trends were not significantly correlated (r = 0.34, p = 0.33), so this relationship is only speculative. Overall, the increasing number of deer pose several problems for Wilson’s Creek National Battlefield. First, increasing deer populations add a level of complexity to implementing Wilson’s Creek National Battlefield Cultural Landscape Report recommendations. Deer preferentially browse native vegetation over exotic vegetation, promoting the spread of exotic species, and the success of tree plantings can be curtailed by heavy deer browsing. Second, controlling deer-related disease, some of which can affect domestic livestock and human health in and around the park, becomes increasingly harder as the deer population increases. Third, as additional ancillary data suggests, the largely unreported and costly deer-vehicle collisions in and around Wilson’s Creek National Battlefield have the potential to increase when there are more deer.
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Wibowo, Johannes, and Jamie López-Soto. Field Jet Erosion Tests on Benbrook Dam, Texas. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42545.

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This report summarizes the results of eight field Jet Erosion Tests (JETs) performed on Benbrook Dam, TX. The results from these tests will be used by the U.S. Army Corps of Engineers, Fort Worth District, in assessments of the erosion resistance of the Benbrook Dam with regards to possible overtopping by extreme flooding. The JETs were performed at four different locations, i.e., two locations at the lowest crest elevation and two locations at the mid-slope face of the downstream embankment. Variations in estimated critical hydraulic shear stress and erosion rate values may have been caused by differences in soil composition, i.e., when the material changed from silt/sand to clay. The resulting values of the Erodibility Coefficient, Kd, and Critical Stress, τc, are very useful information in assessing the stability of Benbrook Dam during an overtopping event. Because of the observed natural variability of the materials, combining the erosion parameters presented in this report with the drilling logs and local geology will be imperative for assessing erosion-related failure modes of Benbrook Dam.
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Gunay, Selim, Fan Hu, Khalid Mosalam, Arpit Nema, Jose Restrepo, Adam Zsarnoczay, and Jack Baker. Blind Prediction of Shaking Table Tests of a New Bridge Bent Design. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/svks9397.

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Considering the importance of the transportation network and bridge structures, the associated seismic design philosophy is shifting from the basic collapse prevention objective to maintaining functionality on the community scale in the aftermath of moderate to strong earthquakes (i.e., resiliency). In addition to performance, the associated construction philosophy is also being modernized, with the utilization of accelerated bridge construction (ABC) techniques to reduce impacts of construction work on traffic, society, economy, and on-site safety during construction. Recent years have seen several developments towards the design of low-damage bridges and ABC. According to the results of conducted tests, these systems have significant potential to achieve the intended community resiliency objectives. Taking advantage of such potential in the standard design and analysis processes requires proper modeling that adequately characterizes the behavior and response of these bridge systems. To evaluate the current practices and abilities of the structural engineering community to model this type of resiliency-oriented bridges, the Pacific Earthquake Engineering Research Center (PEER) organized a blind prediction contest of a two-column bridge bent consisting of columns with enhanced response characteristics achieved by a well-balanced contribution of self-centering, rocking, and energy dissipation. The parameters of this blind prediction competition are described in this report, and the predictions submitted by different teams are analyzed. In general, forces are predicted better than displacements. The post-tension bar forces and residual displacements are predicted with the best and least accuracy, respectively. Some of the predicted quantities are observed to have coefficient of variation (COV) values larger than 50%; however, in general, the scatter in the predictions amongst different teams is not significantly large. Applied ground motions (GM) in shaking table tests consisted of a series of naturally recorded earthquake acceleration signals, where GM1 is found to be the largest contributor to the displacement error for most of the teams, and GM7 is the largest contributor to the force (hence, the acceleration) error. The large contribution of GM1 to the displacement error is due to the elastic response in GM1 and the errors stemming from the incorrect estimation of the period and damping ratio. The contribution of GM7 to the force error is due to the errors in the estimation of the base-shear capacity. Several teams were able to predict forces and accelerations with only moderate bias. Displacements, however, were systematically underestimated by almost every team. This suggests that there is a general problem either in the assumptions made or the models used to simulate the response of this type of bridge bent with enhanced response characteristics. Predictions of the best-performing teams were consistently and substantially better than average in all response quantities. The engineering community would benefit from learning details of the approach of the best teams and the factors that caused the models of other teams to fail to produce similarly good results. Blind prediction contests provide: (1) very useful information regarding areas where current numerical models might be improved; and (2) quantitative data regarding the uncertainty of analytical models for use in performance-based earthquake engineering evaluations. Such blind prediction contests should be encouraged for other experimental research activities and are planned to be conducted annually by PEER.
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