Academic literature on the topic 'Error's standard deviations'

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Journal articles on the topic "Error's standard deviations"

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Altman, Douglas G., and J. Martin Bland. "Standard deviations and standard errors." BMJ 331, no. 7521 (2005): 903. http://dx.doi.org/10.1136/bmj.331.7521.903.

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Hess, Aaron S., and John R. Hess. "Understanding standard deviations and standard errors." Transfusion 56, no. 6 (2016): 1259–61. http://dx.doi.org/10.1111/trf.13625.

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Diederen, Kelly M. J., and Wolfram Schultz. "Scaling prediction errors to reward variability benefits error-driven learning in humans." Journal of Neurophysiology 114, no. 3 (2015): 1628–40. http://dx.doi.org/10.1152/jn.00483.2015.

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Effective error-driven learning requires individuals to adapt learning to environmental reward variability. The adaptive mechanism may involve decays in learning rate across subsequent trials, as shown previously, and rescaling of reward prediction errors. The present study investigated the influence of prediction error scaling and, in particular, the consequences for learning performance. Participants explicitly predicted reward magnitudes that were drawn from different probability distributions with specific standard deviations. By fitting the data with reinforcement learning models, we foun
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Curran-Everett, Douglas. "Explorations in statistics: standard deviations and standard errors." Advances in Physiology Education 32, no. 3 (2008): 203–8. http://dx.doi.org/10.1152/advan.90123.2008.

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Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This series in Advances in Physiology Education provides an opportunity to do just that: we will investigate basic concepts in statistics using the free software package R. Because this series uses R solely as a vehicle with which to explore basic concepts in statistics, I provide the requisite R commands. In this inaugural paper we explore the essential distinction between standard deviation and standard error: a standard deviation estimates the variability among sample
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Leonidas, J. C. "Standard deviation vs. standard error." Journal of Ultrasound in Medicine 5, no. 5 (1986): 294. http://dx.doi.org/10.7863/jum.1986.5.5.294.

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Hoffman, Julien I. E. "Standard Error or Standard Deviation?" Pediatric Cardiology 36, no. 5 (2015): 1105–6. http://dx.doi.org/10.1007/s00246-015-1166-9.

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Sedgwick, P. "Standard deviation versus standard error." BMJ 343, dec13 3 (2011): d8010. http://dx.doi.org/10.1136/bmj.d8010.

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Mikhal, Alexander, and Zygmunt Warsza. "Geometric part of uncertainties in the calculation constant of the primary four electrode conductivity cell." ACTA IMEKO 4, no. 2 (2015): 18. http://dx.doi.org/10.21014/acta_imeko.v4i2.188.

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The paper presents the construction of a primary four electrode conductivity cell with calculated constant for the Ukrainian primary standard of electrolytic conductivity (EC). The equations for calculating the cell constant and the error budget for calculating uncertainty are presented. The components of the budget are: errors due to the non-uniformity of the force lines of the electric field; errors due to the accuracy of measurement standards and measuring instruments for determining length and diameter of the tube; and errors due to manufacturing techniques of tubes and their assemblage
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Gissane, C. "Standard deviations and standard errors, what do they do?" Physiotherapy Practice and Research 36, no. 1 (2014): 73–74. http://dx.doi.org/10.3233/ppr-140053.

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Carter, Rickey E. "A Standard Error: Distinguishing Standard Deviation From Standard Error." Diabetes 62, no. 8 (2013): e15-e15. http://dx.doi.org/10.2337/db13-0692.

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Dissertations / Theses on the topic "Error's standard deviations"

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Stonkutė, Alina. "KINTAMO DIFUZIJOS KOEFICIENTO PARABOLINIŲ LYGČIŲ SPRENDIMAS SKAITINIAIS METODAIS." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100903_130346-27452.

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Magistro darbe sprendėme diferencialinę difuzijos lygtį naujais metodais. Išanalizavę standartinius kintamo difuzijos koeficiento parabolinių lygčių sprendimo metodus, mes šiame darbe pasiūlėme spręsti šias lygtis naudojant vadinamąsias „tilto“ funkcijas. Išbandėme dviejų rūšių „tilto“ funkcijas: hiperbolinio tangento ir trigonometrinio. Diferencialinės lygties sprendinio ieškojome per „tilto“ funkcijų ir polinomų sandaugų sumą: trigonometrinei „tilto“ funkcijai ir hiperbolinei tangento „tilto“ funkcijai. Gavome kompiuterinius sprendinius ir nustatėme tų sprendinių paklaidas. Palyginę trigonom
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Davidson, Fiona. "Predicting Glass Sponge (Porifera, Hexactinellida) Distributions in the North Pacific Ocean and Spatially Quantifying Model Uncertainty." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40028.

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Predictions of species’ ranges from distribution modeling are often used to inform marine management and conservation efforts, but few studies justify the model selected or quantify the uncertainty of the model predictions in a spatial manner. This thesis employs a multi-model, multi-area SDM analysis to develop a higher certainty in the predictions where similarities exist across models and areas. Partial dependence plots and variable importance rankings were shown to be useful in producing further certainty in the results. The modeling indicated that glass sponges (Hexactinellida) are most l
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Kanyongo, Gibbs Y. "Using Large-Scale Datasets to Teach Abstract Statistical Concepts: Sampling Distribution." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-82613.

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Csörgö, Tomáš. "Meranie výkonnosti portfólia." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-195516.

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The goal of the master thesis is to analyze portfolio performance. The theoretical part of the thesis describes risk, portfolio performance measurement, investment funds, theory of portfolio. The analysis of portfolio performance is measured by different portfolio measurement tools.
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Molčan, Vladimír. "Určení prostorových vztahů jeřábové dráhy." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-227104.

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The main theme of this master thesis is the design of technological process measurement and processing of measured data entered crane tracks to determine the geometric parameters of these crane tracks. Diploma thesis further describes the procedure for testing and possible rectification surveying equipment and instrumentation. The thesis is divided of 7 parts, contains 31 images, 4 graphs, 44 tables and 13 attachments. The theoretical part of this thesis contains information about several types of cranes, methods of measurement and processing, as well information on legal and technical regulat
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Hallberg, David, and Erik Renström. "Modelling management fees of mutual funds using multiple linearregression." Thesis, KTH, Matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209769.

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This paper seeks to investigate whether management fees, set by mutual funds, rely on a set of explanatory variables. The study includes equity, bond, and money market funds, all investing in securities registered in Sweden. Results obtained from the project show that changes in assets under management, standard deviation, and tracking error, for a course of 5 years, can provide some explanation to what management fees mutual funds set. In turn, this raises many interesting questions on how capital flows and fund differentiation affects the fees. Also, a market analysis of the Swedish fund mar
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Durán, Alcaide Ángel. "Development of high-performance algorithms for a new generation of versatile molecular descriptors. The Pentacle software." Doctoral thesis, Universitat Pompeu Fabra, 2010. http://hdl.handle.net/10803/7201.

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The work of this thesis was focused on the development of high-performance algorithms for a new generation of molecular descriptors, with many advantages with respect to its predecessors, suitable for diverse applications in the field of drug design, as well as its implementation in commercial grade scientific software (Pentacle). As a first step, we developed a new algorithm (AMANDA) for discretizing molecular interaction fields which allows extracting from them the most interesting regions in an efficient way. This algorithm was incorporated into a new generation of alignmentindependent mol
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Ghazaany, Tahereh S., Shaozhen (Sharon) Zhu, Steven M. R. Jones, et al. "Effect of the bandwidth on the accuracy of AOA estimation algorithms in a multipath environment." 2014. http://hdl.handle.net/10454/10639.

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No<br>This paper investigates the effect of channel bandwidth on the accuracy of AOA estimation algorithms based on the detection of the direct path. The accurate detection of the Line of Sight (LOS) signal in a multipath environment is crucial for reliable direction finding. In this work, the estimation algorithms are applied to the LOS component in the time domain channel impulse response which is acquired by applying the inverse Fourier transform to the simulated channel transfer function in the desired bandwidth. Different channel bandwidths as well as two AOA estimation methods have been
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Molapo, Mojalefa Aubrey. "Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa." Diss., 2017. http://hdl.handle.net/10500/25083.

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Books on the topic "Error's standard deviations"

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Fairbank, Ben. Equipercentile test equating: The effects of presmoothing and postsmoothing on the magnitude of sample-dependent errors. Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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Siripanich, Pachitjanut Dasnanjali. Estimating root mean squared error in the one-way random model. 1987.

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Halperin, Sandra, and Oliver Heath. 15. Quantitative Analysis. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0015.

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This chapter deals with quantitative analysis, and especially description and inference. It introduces the reader to the principles of quantitative research and offers a step-by-step guide on how to use and interpret a range of commonly used techniques. The first part of the chapter considers the building blocks of quantitative analysis, with particular emphasis on different ways of summarizing data, both graphically and with tables, and ways of describing the distribution of one variable using univariate statistics. Two important measures are discussed: the mean and the standard deviation. Af
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Book chapters on the topic "Error's standard deviations"

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Quirk, Thomas J., Meghan Quirk, and Howard F. Horton. "Sample Size, Mean, Standard Deviation, and Standard Error of the Mean." In Excel 2013 for Biological and Life Sciences Statistics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12517-6_1.

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Quirk, Thomas J., Meghan Quirk, and Howard Horton. "Sample Size, Mean, Standard Deviation, and Standard Error of the Mean." In Excel 2010 for Physical Sciences Statistics. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00630-7_1.

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Quirk, Thomas J. "Sample Size, Mean, Standard Deviation, and Standard Error of the Mean." In Excel 2016 for Engineering Statistics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39182-3_1.

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Quirk, Thomas J. "Sample Size, Mean, Standard Deviation, and Standard Error of the Mean." In Excel 2013 for Educational and Psychological Statistics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26712-8_1.

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Quirk, Thomas J., and Simone M. Cummings. "Sample Size, Mean, Standard Deviation, and Standard Error of the Mean." In Excel for Statistics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57828-2_1.

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Quirk, Thomas J., and Eric Rhiney. "Sample Size, Mean, Standard Deviation, and Standard Error of the Mean." In Excel 2016 for Advertising Statistics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-72104-0_1.

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Quirk, Thomas J., and Simone Cummings. "Sample Size, Mean, Standard Deviation, and Standard Error of the Mean." In Excel 2010 for Health Services Management Statistics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05260-1_1.

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Quirk, Thomas J. "Sample Size, Mean, Standard Deviation, and Standard Error of the Mean." In Excel 2007 for Educational and Psychological Statistics. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3725-3_1.

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Quirk, Thomas J. "Sample Size, Mean, Standard Deviation, and Standard Error of the Mean." In Excel 2007 for Business Statistics. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3734-5_1.

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Quirk, Thomas J. "Sample Size, Mean, Standard Deviation, and Standard Error of the Mean." In Excel 2007 for Social Science Statistics. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3622-5_1.

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Conference papers on the topic "Error's standard deviations"

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Berndt, Sebastian, Till Mrosk, Ralf Doerner, and Friedrich Lenk. "Residual errors in coplanar on-chip 1-port calibration caused by standard deviations." In 2013 81st ARFTG Microwave Measurement Conference (ARFTG). IEEE, 2013. http://dx.doi.org/10.1109/arftg.2013.6579054.

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Bartkowiak, Tomasz, and Roman Staniek. "Application of Order Statistics in the Evaluation of Flatness Error: Sampling Problem." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71295.

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The main purpose of this initial paper is to demonstrate the application of order statistics in the estimation of form error from a CMM measurement. Nowadays, modern industry sets high standards for geometrical precision, surface texture and material properties. There are many parameters that can characterize mechanical part, out of which flatness error plays important in the assembly process and performance. Recently, due to the greater availability and price reduction, Coordinate Measurement Techniques have increased their popularity in the industry for on-line and off-line measurements as t
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Gutierrez, David, and Chad Hanak. "Measurement-While-Drilling MWD Error Model Validation – Does the Model Reflect Reality?" In SPE/IADC International Drilling Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204026-ms.

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Abstract It has been well documented that magnetic models and Measurement-while-Drilling (MWD) directional sensors are not free from error. It is for this reason that directional surveys are accompanied by an error model that is used to generate an ellipse of uncertainty (EOU). The directional surveys represent the highest probable position of the wellbore and the EOU is meant to encompass all of the possible wellbore positions to a defined uncertainty level. The wellbore position along with the individual errors are typically presumed to follow a Normal (Gaussian) Distribution. In order for t
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Mohammadi, Hanieh, Gholamreza Khademi, Dan Simon, and Hanz Richter. "State Estimation of an Advanced Rowing Machine Using Optimized Kalman Filtering." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5319.

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This research addresses the problem of state estimation of an advanced rowing machine with energy regeneration. It is assumed that the states of the system, which are position, velocity, and capacitor charge, are measurable. The user force input to the system can be measured by load cells. It is shown that the need for load cells can be eliminated by estimating the force with an unknown-input Kalman filter. The estimated states and the unknown user force input are passed to the controller of the system, which is either an inversion-based controller or a semi-active impedance controller. Two fr
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Prabhu, Rajkumar, W. Glenn Steele, M. F. Horstemeyer, et al. "Uncertainty Analysis of the Mechanical Response of Porcine Brain at High Strain Rate Compression." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53738.

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The Split-Hopkinson Pressure Bar (SHPB) apparatus presents a unique capability in studying the dynamic response of a material, but it is accompanied with a moderately high noise level, giving a rather large standard deviation for the stress-strain behavior of the soft biological material being tested [1]. Compounding the errors in a SHPB setup is the uncertainty arising from sample-to-sample variability in a soft biological material. Uncertainties arise in a measured variable through a vast number of sources such as an imperfect instrument calibration process, standards used for calibration, a
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Hardenberg, Alexander, Arnold Kühhorn, and Maren Fanter. "Correlating and Updating Finite Element Models of Different Fidelity Using an Energy-Based Approach." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-14509.

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Abstract Building finite element models of complex structures requires the engineer to make various simplifying assumptions. While there exists no unique way of modeling, the resulting model depends to a level on experience and engineering judgment. The inherent model uncertainties can be subdivided into three categories: idealization errors, discretization errors and parameter errors. Understanding the effect of different modeling assumptions and minimizing these uncertainties is key for creating efficient and physical meaningful finite element models. In this paper the effects of different m
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Wang, Hua, and Suo Si. "A FEA Simulation Model for Thin-Walled C-Section Composite Beam Assembling With R-Angle Deviation." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36956.

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There are unavoidable deviations, such as shrinkage and distortions, in the composite detail parts production due to the complexity of composites fabrication. Interests in the assembly analysis of composite beams have led to a need for more accurate analysis especially in the case of fabrication deviations. This work proposes a numerical finite element model of thin-walled C-section composite beam with R-angle deviation for assembling. The rule of Hashin failure combined with cohesive element is applied to study the mechanical performance of the fiber and matrix (implemented as user subroutine
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Furukawa, Tomonari, Yoshitaka Wada, John G. Michopoulos, and Athanasios Iliopoulos. "Probabilistic Vision-Based Full-Field Displacement and Strain Measurement via Uncertainty Propagation." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70969.

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This paper presents formulations that enable the vision-based measurement of displacement and strain fields extensively in a probabilistic manner. The proposed formulations are built on the dot centroid tracking (DCT) method by digital cameras, which measures the darkness of each pixel in gray scale, identify dots marked on a specimen, derives dot centroids using pixel darkness information and derives displacement and strain fields by tracking the centroids and interpolating the nodal displacements and strains. Under the Gaussian assumption, the proposed formulations analytically propagate the
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Fatu, Aurelian, and Mihai Arghir. "Numerical Analysis of the Impact of Manufacturing Errors on the Structural Stiffness of Foil Bearings." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63822.

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The dynamic characteristics of foil bearings operating at high rotation speeds depend very much on the mechanical characteristics of the foil structure. For this reason, the stiffness and damping of the structure of foil bearings is a problem that is the focus of many analyses. The mechanical characteristics of the foil structure (top and bump foil) are analyzed either by using a simple approach obtained for an isolated bump modeled as a beam or with more elaborate ones taking into account the three-dimensional nature of the bumps and their mutual interactions. These two kinds of models give d
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de Fouquet, Chantal, Yves Benoit, Claire Carpentier, and Bruno Fricaudet. "Uncertainties on the Extension of a Polluted Zone." In ASME 2011 14th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2011. http://dx.doi.org/10.1115/icem2011-59198.

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Data collected during the sampling of polluted sites are mainly used - through an exploratory and variographic analysis, to characterize to characterize the concentration level and the spatial variability; - at fixed support, to estimate the concentrations in order to map the pollution. Kriging gives also the standard deviation of the estimation error, making it possible to delimit the zones in which the estimation is considered to lack in precision. If a proportional effect is present the map of error standard deviation has to be corrected to take into account the increase of spatial variabil
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Reports on the topic "Error's standard deviations"

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Kaffenberger, Michelle, and Lant Pritchett. Women’s Education May Be Even Better Than We Thought: Estimating the Gains from Education When Schooling Ain’t Learning. Research on Improving Systems of Education (RISE), 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/049.

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Women’s schooling has long been regarded as one of the best investments in development. Using two different cross-nationally comparable data sets which both contain measures of schooling, assessments of literacy, and life outcomes for more than 50 countries, we show the association of women’s education (defined as schooling and the acquisition of literacy) with four life outcomes (fertility, child mortality, empowerment, and financial practices) is much larger than the standard estimates of the gains from schooling alone. First, estimates of the association of outcomes with schooling alone can
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