Relevant bibliographies by topics / Determination coefficient

Contents

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

Academic literature on the topic 'Determination coefficient'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Determination coefficient"

1

Young, Philip H. "Generalized Coefficient of Determination." Journal of Cost Analysis & Management 2, no. 1 (January 2000): 59–68. http://dx.doi.org/10.1080/15411656.2000.10462406.

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Dahl, Christopher, Brent Harding, and Harry Wiant. "Quick Volume Coefficient Determination for Point Sampling." Northern Journal of Applied Forestry 24, no. 4 (December 1, 2007): 314–16. http://dx.doi.org/10.1093/njaf/24.4.314.

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Abstract Grosenbaugh developed a formula for making quick point-sample estimates of sawtimber volume without measuring diameter. Local coefficients were created for a study area in central Pennsylvania hardwoods and were compared with volume estimates using a range of previously published coefficients. Results indicate that a general constant coefficient of 66 produces sawtimber volume estimates that are as good as using species-specific local coefficients for Pennsylvania hardwoods.
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Oliveira, D. M., N. A. Silva, C. F. Bremer, and H. Inoue. "Considerations about the determination of γz coefficient." Revista IBRACON de Estruturas e Materiais 6, no. 1 (February 2013): 75–100. http://dx.doi.org/10.1590/s1983-41952013000100005.

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In this work, the γz coefficient, used to evaluate final second order effects in reinforced concrete structures, is studied. At the start, the influence of the structural model in determination of γz coefficient is evaluated. Next, a comparative analysis of γz and B2 coefficient, usually employed to evaluate second order effects in steel structures, is performed. In order to develop the study, several reinforced concrete buildings of medium height are analysed using ANSYS-9.0 [1] software. The results show that simplified analysis provide more conservative values of γz. It means that, for structures analysed by simplified models, large values of γz don't imply, necessarily, in significant second order effects. Furthermore, it was checked that γz can be determinated from B2 coefficients of each storey of the structures and that, for all the analysed buildings, the average values of the B2 coefficients are similar to γz.
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Marko, Matthew. "Coefficient-of-Determination Fourier Transform." Computation 6, no. 4 (November 27, 2018): 61. http://dx.doi.org/10.3390/computation6040061.

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This algorithm is designed to perform numerical transforms to convert data from the temporal domain into the spectral domain. This algorithm obtains the spectral magnitude and phase by studying the Coefficient of Determination of a series of artificial sinusoidal functions with the temporal data, and normalizing the variance data into a high-resolution spectral representation of the time-domain data with a finite sampling rate. What is especially beneficial about this algorithm is that it can produce spectral data at any user-defined resolution, and this highly resolved spectral data can be transformed back to the temporal domain.
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Farmos, Rudolf László, Norbert Hodgyai, Zoltán Forgó, and Erzsébet Egyed-Faluvégi. "Automated Determination of Friction Coefficient." Műszaki Tudományos Közlemények 12, no. 1 (April 1, 2020): 34–37. http://dx.doi.org/10.33894/mtk-2020.12.04.

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AbstractThe presented research is designed to meet a particular challenge facing the industry. Its aim is to automate the process of friction coefficient determination, using a method that enables quick and easy repeatability of measurements developed by S.C. Plasmaterm S.A in Târgu Mureş.
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Mastryukov, A. F. "Determination of the diffusion coefficient." Mathematical Models and Computer Simulations 7, no. 4 (July 2015): 349–59. http://dx.doi.org/10.1134/s2070048215040067.

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Wang, Qiang, and LiYuan Tong. "Determination Permeability Coefficient from Piezocone." Advances in Materials Science and Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/396428.

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The permeability coefficient of soil profile is one of the problems concerned by engineers, and the determination of permeability coefficient method mainly relies on the laboratory permeability test and field pumping test, but these tests are time-consuming and inefficient, and especially the permeability coefficient of soil under the condition of partial drainage was difficult to determine; in this paper, the modern digital CPTU technology was used. Dimensional permeabilityKTwas defined by using the dimensionless normalized cone tip resistanceQt, friction factorFr, and pore pressure ratioBq, these parameters enable plots ofBq-Qt,Fr-Qt,Bq-Frto be contouredKTand hence for permeability coefficient. The relationship has been applied to Nanjing 4th Yangtze river bridge, and compared with laboratory penetration test. The results indicate that the method can accurately determine the permeability coefficient of soil under partial drainage condition and provide the theoretical basis for engineering application.
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Borodii, M. V. "Determination of cycle nonproportionality coefficient." Strength of Materials 27, no. 5-6 (May 1995): 265–72. http://dx.doi.org/10.1007/bf02208497.

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DOROSZEWICZ, STEFAN. "Transient method of vapor permeability coefficient determinations for packaging foils. Part II. Determination of permeability coefficien." Polimery 41, no. 10 (October 1996): 576–79. http://dx.doi.org/10.14314/polimery.1996.576.

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Hirano, Akihiko, Masao Sakane, and Naomi Hamada. "OS18-1-1 Determination of Creep Exponent and Coefficient by Indentation Creep." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2007.6 (2007): _OS18–1–1——_OS18–1–1—. http://dx.doi.org/10.1299/jsmeatem.2007.6._os18-1-1-.

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Dissertations / Theses on the topic "Determination coefficient"

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Sood, Eeshani. "Determination of diffusion coefficient for unsaturated soils." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2318.

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The structures constructed on unsaturated soils are damaged by the movement of the soil underneath. The movement is basically due to the flow of moisture in and out of the soil. This change in moisture also affects the strength of the soil, thus resulting in failure of slopes of embankments constructed with these soils. Therefore, it is very important to study the diffusion properties of unsaturated soils. Study of the diffusion properties requires the determination of the diffusion coefficient (/). In this thesis improvements in the drying test, originally proposed by Mitchell (1979), have been discussed. The study also involves defining the evaporation coefficient (he) which has been ill-defined in previous research work. The flow through unsaturated soils is non-linear but due to the complexity involved it has been simplified to a linear problem. The nonlinear behavior has been studied during this research. Therefore, certain refinements have been applied in the determination of the diffusion coefficient. The laboratory procedure followed involves measuring the soil suction along the length of the sample and at different times using thermocouple psychrometers. The evaluation of the evaporation coefficient (he) has been made an integral part of the procedure. The diffusion coefficient is determined using the curve fitting procedure of Aubeny and Lytton, 2003.
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Wang, Yang. "CdS Reflection Coefficient Determination via Photocurrent Spectroscopy." Bowling Green State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1219593815.

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Tothill, M. H. "Turbine blade heat transfer coefficient determination using optical pyrometry." Thesis, Cranfield University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.352954.

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Baker, Stephen. "Optimal determination of the optical coefficients from scattering media." Thesis, University of Nottingham, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268794.

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Acinan, Sezen. "Determination Of Runoff Coefficient Of Basins By Using Geographic Information Systems." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609522/index.pdf.

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Turkey has very different geomorphologic, hydrologic and climatic conditions, so the runoff coefficient should be different from one basin to another. But only one constant value, which is 0.37, is being used for all the basins in Turkey. In this thesis, monthly, seasonal and annual runoff coefficients of 48 sub-basins in western and southern part of Anatolia are determined by using synchronous and average rainfall, runoff data of 26 year record period. Their temporal and spatial distributions are investigated. The relationship between the basin parameters and the runoff coefficient are also examined. Some of the basins have unrealistic large runoff coefficients, therefore excluded from the analyses. The basin boundaries and parameters are determined by using Geograhic Information System (GIS), and areal average precipitations are found by a program written in visual basic language that uses ArcObjects. The Box-Cox transformed data are used in regression analysis. There are a number of dams in the region, which affect the natural flow. Such streams are found and their sub-basins are not used in the analyses. The results revealed that there is not a strong the relationship between the basin parameters and annual and seasonal runoff coefficients for the whole region, but there are significant relations between them for some basins.
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Zeywar, Nadim Shukry. "Water use and crop coefficient determination for irrigated cotton in Arizona." Diss., The University of Arizona, 1992. http://hdl.handle.net/10150/185887.

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Crop coefficients (K(c)) are a useful means of predicting how much water is needed for irrigating a crop. The crop water stress index (CWSI), on the other hand, is a means of knowing when to irrigate. Two field experiments were conducted during the summers of 1990 and 1991 at Maricopa Agricultural Center and Marana Agricultural Center, respectively, to evaluate water use (evapotranspiration, ET) of different cotton varieties, to develop crop coefficients for cotton grown in the state of Arizona, and to evaluate empirical and theoretical crop water stress indices under field conditions. For the 1990 experiment, ET from the cotton variety DPL 77 was obtained using soil water balance (SWB) and steady state heat balance (SSHB) techniques. For the 1991 experiment, ET from two cotton varieties (DPL 20 and Pima S-6) was estimated using the Bowen ratio energy balance (BREB) method and the steady state heat balance method. Reference evapotranspiration (ETᵣ) was obtained from weather stations located close to the experimental plots. Average daily ET from the SSHB measurements ranged from 8.24 to 15.13 mm and from 10.34 to 12.12 mm for the 1990 and 1991 experiments, respectively. Total ET from the SWB was approximately 19% less than the total ET estimated by the SSHB. Total ET from individual plants was well correlated with average stem area over the evaluation periods. Daily ET from the two cotton varieties (DPL20 and Pima S-6) was approximately similar when irrigation conditions were the same, but differed later by as much as 48.4% as irrigation continued for the variety Pima S-6 only. Daily ET from the BREB measurements and ETᵣ were used to develop a crop coefficient curve for cotton grown at Marana, Arizona, which had a maximum smoothed value of 1.21. A critical value of CWSI equal to 0.3 was obtained by observing the pattern of the CWSI values over well-watered and drier conditions, and from previous research. Using the developed crop coefficient curve and the CWSI should provide a useful means of scheduling irrigation for cotton grown under climatic conditions similar to those at Marana, Arizona.
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Kunene, Thokozani Justin. "Determination of the head loss coefficient of closely spaced pipe bends." Thesis, Cape Peninsula University of Technology, 2017. http://hdl.handle.net/20.500.11838/2519.

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Thesis (MTech (Mechanical Engineering))--Cape Peninsula University of Technology, 2017.
Space limitation in ships and the complex pipe layouts in chemical, mineral and food processing plants lead to the employment of closely spaced bends. The limited information regarding the head loss coefficient of pipe bends orientated as bend-spacer-bend has led pipeline designers to treat them as isolated bends with the same loss coefficient. Thus, to calculate the head loss in the piping system would simply involve summing the head loss coefficient of bends and neglecting their configuration. This practice causes inaccurate computation of head losses in the system. In this study a computational model is developed for the head loss coefficient of closely spaced pipe bends. This is then supported by experimental verification. A more accurate but still simple and easy to use empirical correlation is derived. The empirical correlation is established and the data presented under isothermal conditions for turbulent flows in a range 7.3x104 ≤ Re ≤ 5.8x105 and a spacing ratio of 1D ≤ L/d ≤ 10Dand curvature ratio of 3 ≤ rc/d ≤ 5. Using ANSYS® CFX® 11, a commercial computational fluid dynamics (CFD) package, the fluid domain representing two 900 smooth pipe bends separated by a short pipe was solved and the mechanisms causing the head loss coefficient were explored by using the CFD results to visualise the fluid flow structure/pattern. The computational model was validated by comparing the head loss coefficient of a single bend and the model was found to be sound. The experiments conducted in the built test facility using smooth pipes showed similarities in the trends between the CFD work and the published data and they were to be found have a similar trend. The experiment had shown results that agree to the findings from literature.
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Gold, H. David. "Water use and crop coefficient determination for irrigated winter wheat in Arizona." Thesis, The University of Arizona, 1995. http://hdl.handle.net/10150/192128.

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Estimates of evapotranspiration (ET) were irrigated winter wheat in the spring of 1988 9 made for based on measurements of latent heat flux using Bowen ratio systems at the University of Arizona's Maricopa Agricultural Center (MAC). Data were examined over a 132 day period. For the same time period, reference ET estimates were made in the same region using a modified Penman equation based on data from the Arizona Meteorological Network (AZMET). A comparison of ET estimates for 118 days prior to wheat senescence shows excellent agreement (r^2 = 0.94). This implies that a simple crop coefficient can be used as a basis for irrigation scheduling for winter wheat grown under climatic conditions similar to those at MAC in 1988. In addition, the ET estimates were used to test the validity of a previously determined crop coefficient for winter wheat based on heat units and to assess current groundwater allocations in Arizona.
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Martin, E. C., S. W. Winans, and D. Esquerra. "Determination of Heat Unit Based Crop Coefficient for Alfalfa in Western Arizona." College of Agriculture, University of Arizona (Tucson, AZ), 1995. http://hdl.handle.net/10150/201439.

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Alfalfa is the second largest production crop grown in Arizona with an estimated 150,000 acres of production in 1993. Water requirements for alfalfa have been estimated at 6 acre-feet per year. These two facts together make it imperative that data be gathered to help growers apply their irrigation water efficiently while maintaining their yields. In 1994, a study was initiated in the Parker Valley region of La Paz County, Arizona, to measure daily water use in alfalfa. Two sites were chosen for measurement: one site was a surface irrigated field located at the Quail Mesa Farm; the second site was a surface irrigated field located on the Colorado River Farm. The two sites were chosen to give a contrasting schedule of irrigation and allow for data collection at differing times throughout the year. Nine neutron probes were installed in each field, three 113 in from the head, three in the center, and three 113 in from the tail on one field at each location. Neutron probe readings were taken at 18", 30", 42", and 54" depths below the soil surface to measure soil moisture from 1' -2', 2' -3', 3'-4', 4' -5'. The soil moisture for the top foot was determined by gravimetric sampling. The data gathered by this study was used to compare with data used in AZSCHED, a computerized irrigation scheduling program. With this data, determination of alfalfa water used based on heat units after cutting was made to help growers better use their irrigation water.
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Oliveira, Aureo Silva 1965. "Determination of head lettuce crop coefficient and water use in central Arizona." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282779.

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The assessment of crop evapotranspiration (ET) has received intensive research due to its critical role in irrigation management and water conservation studies. Because weather conditions largely determine ET, various methods based on meteorological factors have been developed to estimate ET rates. In order to accommodate the concept of reference crop ET (ETo), evaluation of weather data quality has been addressed. In this research, 9 year (1989-1997) weather data from the AZMET weather station at the Maricopa Agricultural Center were used to compare daily and 10 day average ETo estimated by the Hargreaves (HARG), FAO 24 Penman (FAOP), and FAO Penman-Monteith (FAOPM) methods. Before ET calculation, the weather data were evaluated for the influence of aridity at the weather station site and sensor calibration/malfunctioning problems. Corrections were made on temperature and solar radiation data. Reference ET as reported by the AZMET was also considered for comparison purposes. In general, the weather data correction decreased ETo estimates 18.3%, on average. The highest reduction (23.5%) was obtained with the FAOPM method. When this method was used as the standard for ETo estimate comparison, the FAOP method corrected for site aridity ranked first as predictor of ETo despite its tendency for overestimation. At the Maricopa Agricultural Center, a two year field research (Fall-Winter of 1996/97 and 1997/98) was carried out to derive head lettuce (Lactuca sativa L.) crop coefficient (Kc) and to investigate the effects of ETo method in the shape and values of the crop coefficient curve. For the periods of low crop ET, the 2 year (Kc) from the HARG, FAOP, and FAOPM methods did not differ significantly. However, in the peak demand period, crop coefficients derived from the three methods peaked at different values. The predicted peak (Kc) was 0.87, 0.72, and 0.82 for the HARG, FAOP, and FAOPM methods, respectively. These results reflect the tendency of ETo underestimation by the HARG method and overestimation by the FAOP method under and conditions. Crop coefficients derived in the 96/97 growing season were then used to investigate the effects of (Kc) and ETo mismatching in the water use and yield of lettuce during the 97/98 growing season. To reach such objectives, an experiment design in Latin square with four replications and four treatments was carried out. Differences in seasonal water depth were as high as 33 mm among treatments. The analysis of variance revealed that the treatments did not induce lettuce marketable yield statistically different at the 5% significance level.
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Books on the topic "Determination coefficient"

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Kurz-Kim, Jeong-Ryeol. A note on the coefficient of determination in models with infinite variance variables. Washington, D.C: Federal Reserve Board, 2007.

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Riley, Tracy C. Computation of chemical equilbrium in nonideal multi-electrolyte systems and the determination of activity-coefficient-model parameters. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.

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Jarrett, Robert D. Determination of roughness coefficients for streams in Colorado. Lakewood, Colo: U.S. Dept. of the Interior, Geological Survey, 1985.

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Titcombe, Michele Susanne. Orthogonalization method for determination of boundary layer receptivity coefficients. [Downsview, Ont.]: University of Toronto, Graduate Dept. of Aerospace Science and Engineering, 1993.

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Titcombe, Michèle Susanne. Orthogonalization method for determination of boundary layer receptivity coefficients. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

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Crawford, Charles G. Determination of reaeration-rate coefficients of the Wabash River, Indiana, by the modified tracer technique. Indianapolis, Ind: U.S. Dept. of the Interior, Geological Survey, 1986.

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Crawford, Charles G. Determination of reaeration-rate coefficients of the Wabash River, Indiana, by the modified tracer technique. Indianapolis, Ind: U.S. Dept. of the Interior, Geological Survey, 1986.

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Crawford, Charles G. Determination of reaeration-rate coefficients of the Wabash River, Indiana, by the modified tracer technique. Indianapolis, Ind: U.S. Dept. of the Interior, Geological Survey, 1986.

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Heidmann, James D. Determination of a transient heat transfer property of acrylic using thermochromic liquid crystals. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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Geoghegan, Mark. Experimental determination of the rate coefficients for, and neutral products of, dissociative recombination reactions using the flowing afterglow/Langmuir probe apparatus. Birmingham: University of Birmingham, 1990.

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Book chapters on the topic "Determination coefficient"

1

Gooch, Jan W. "Coefficient of Determination." In Encyclopedic Dictionary of Polymers, 975. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15182.

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Heijmans, Risto D. H., and Heinz Neudecker. "The coefficient of determination revisited." In International Studies in Economics and Econometrics, 191–204. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3591-4_13.

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Gabitova, Gulnara, Daria Zaborova, and Sergey Barinov. "Experimental Determination of Permeability Coefficient." In International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017, 830–36. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70987-1_88.

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Prosini, Pier Paolo. "Determination of the Diffusion Coefficient of LiFePO4." In Iron Phosphate Materials as Cathodes for Lithium Batteries, 21–27. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-745-7_3.

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Talevi, Alan, and Carolina L. Bellera. "Unbound Brain-to-Plasma Partition Coefficient Determination." In The ADME Encyclopedia, 1–8. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-51519-5_62-1.

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Yamamoto, Shuichi, Munehiro Hoshika, and Yuji Sano. "Determination of Concentration Dependent Diffusion Coefficient from Drying Rates." In Drying ’85, 490–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-21830-3_68.

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Fickel, Norman. "Partition of the Coefficient of Determination in Multiple Regression." In Operations Research Proceedings 1999, 154–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-58300-1_26.

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Di Mari, Roberto, Salvatore Ingrassia, and Antonio Punzo. "A Generalized Coefficient of Determination for Mixtures of Regressions." In Data Analysis and Rationality in a Complex World, 27–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60104-1_4.

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Jürgens, Klaus D., Simon Papadopoulos, Thomas Peters, and Gerolf Gros. "Determination of the Diffusion Coefficient of Myoglobin in Muscle Cells." In Advances in Experimental Medicine and Biology, 293–98. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5399-1_41.

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Barten, Anton P. "The coefficient of determination for regression without a constant term." In International Studies in Economics and Econometrics, 181–89. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3591-4_12.

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Conference papers on the topic "Determination coefficient"

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Belt, Christopher, and Scott Cannon. "EV-13 Valve Discharge Coefficient Determination." In AIAA Balloon Systems Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-2623.

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C. R. Cruz, J., G. Garabito, and J. Urban. "Reflection Coefficient Determination Using Eigenwavefront Attributes." In 60th EAGE Conference and Exhibition. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201408330.

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Lebedev, O. A., V. S. Nujin, V. E. Sabinin, S. K. Savelyev, and S. V. Solk. "Determination of IR lens transmission coefficient." In SPIE Proceedings, edited by Vadim E. Privalov. SPIE, 2007. http://dx.doi.org/10.1117/12.725699.

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Themann, Julian. "Aberration Coefficient Determination with Ptychographic Methods." In European Microscopy Congress 2020. Royal Microscopical Society, 2021. http://dx.doi.org/10.22443/rms.emc2020.797.

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Felczak, M., G. De Mey, and B. Więcek. "Determination of the heat transfer coefficient distribution." In 2016 Quantitative InfraRed Thermography. QIRT Council, 2016. http://dx.doi.org/10.21611/qirt.2016.029.

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Anderson, Murray, and Ronald McCurdy. "Weapon drag coefficient determination using genetic algorithm." In 19th Atmospheric Flight Mechanics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-3468.

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Bowman, Bruce. "True Satellite Ballistic Coefficient Determination for HASDM." In AIAA/AAS Astrodynamics Specialist Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-4887.

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Schujman, Sandra B., Jonathan R. Mann, Gary Dufresne, Linda M. LaQue, Crispin Rice, John Wax, David J. Metacarpa, and Pradeep Haldar. "Evaluation of protocols for temperature coefficient determination." In 2015 IEEE 42nd Photovoltaic Specialists Conference (PVSC). IEEE, 2015. http://dx.doi.org/10.1109/pvsc.2015.7355840.

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Seelis, Oliver A., and Longbin Tao. "Experimental Determination of Roll Damping Coefficient for FPSO." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23400.

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The roll damping coefficient is a crucial parameter for several design and operational aspects of FPSOs. The accurate prediction of the coefficient is not a trivial task and generally performed experimentally. A polynomial linearization of the decay test data has been widely applied in the offshore industry. However, research has indicated that for FPSOs with rectangular cross section and attached bilge keels, this methodology may lead to inaccurate damping coefficients. This paper presents a study on the experimental determination of roll damping coefficients for FPSOs, obtained by free decay tests. For this purpose model tests are executed in the towing tank of the Marine Hydrodynamic Laboratory at Newcastle University. The model is based on the design of a purposely build FPSO, as typically applied in the central North Sea sector. The cross section of the FPSO is boxed shaped with a characteristic knuckle shaped bilge. The tests are conducted using three different bilge keel arrangements. The parametric change in bilge keel size results in the variation of the flow characteristics around the bilge knuckle. The damping coefficients are then established from the decay test data using a polynomial approach, a bi-linear approach and a hyperbolic approach. A comparison between the damping evolutions obtained with the different methodologies is performed for each bilge keel configuration. Further, a numerical model of the FPSO is created using DNVs Sesam software. With the established damping coefficients, damping matrices are manually defined as an input to Sesam and roll transfer functions are numerically established. The computational determined transfer functions are then compared against the RAOs obtained from the model tests in regular waves to determine the most appropriate methodology. The damping coefficient for the bare hull is well established by all three proposed methodologies. However, with the attached bilge keels the bi-linear and the hyperbolic methodologies produce damping coefficients reflecting the experimental results more accurately than the polynomial approach, indicating that the recently developed hyperbolic method is a valid alternative, and in certain cases, is more suitable to determine the roll damping coefficient. The experimental measurements could serve as a benchmark for further research and contribute to the practical application of FPSO roll damping determination.
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Fan, Shu-Hai, Jin Wang, Hao Sun, and Shao Liu. "The Coefficient Determination of Multivariate Quality Loss Model." In 2007 3rd International Conference on Wireless Communications, Networking, and Mobile Computing - WiCOM '07. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.1250.

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Reports on the topic "Determination coefficient"

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P. Heller and J. Wright. THE DETERMINATION OF DIFFUSION COEFFICIENT OF INVERT MATERIALS. Office of Scientific and Technical Information (OSTI), January 2000. http://dx.doi.org/10.2172/889233.

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Duvall, Donovan S., Michael D. Hale, Donald J. Lewis, and Arthur D. Snyder. Determination of the Coefficient of Thermal Expansion of JP-4 Fuels. Fort Belvoir, VA: Defense Technical Information Center, December 1985. http://dx.doi.org/10.21236/ada171495.

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Caracci, Melanie C., R. S. Geary, C. M. Wall, and Gary W. Jepson. Development of Microdialysis Probe Method for Partition Coefficient Determination for Pharmacokinetic Modeling. Fort Belvoir, VA: Defense Technical Information Center, May 1995. http://dx.doi.org/10.21236/ada325791.

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Donovan, William F. Determination of Heat Transfer Coefficient in a Gun Barrel from Experimental Data. Fort Belvoir, VA: Defense Technical Information Center, January 1985. http://dx.doi.org/10.21236/ada151815.

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Moore, Casey. Development and Characterization of a Variable Aperture Attenuation Meter for the Determination of the Small Angle Volume Scattering Function and System Attenuation Coefficient. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada634009.

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Baghdadi, Aslan, Robert I. Scace, and E. Jane Walters. Database for and statistical analysisof the interlaboratory determination of the conversion coefficient for the measurement of the interstitial oxygen content of silicon by infrared absorption. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.sp.400-82.

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Adams, M. Experimental determination of drag coefficients in low-density polyurethane foam. Office of Scientific and Technical Information (OSTI), April 2006. http://dx.doi.org/10.2172/899423.

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Krikorian, S. E., Trevor A. Chorn, James W. King, and Michael W. Ellzy. Determination of the Partition Coefficients of Organophosphorus Compounds Using High-Performance Liquid Chromatography. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada189276.

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Kantrowitz, Frank T., William M. Gutman, and Troy D. Gammill. Determination of Spectrally Resolved Transmittance and Extinction Coefficients for Obscurants at Smoke Week XIV. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada286473.

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Dojcsak, L., and J. Marriner. SDSS-II: Determination of shape and color parameter coefficients for SALT-II fit model. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/1016874.

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