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Books on the topic 'COEFFICIENT ESTIMATES'

Author: Grafiati

Published: 11 September 2023

Last updated: 26 July 2025

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1

Carter, Thomas E. Coefficient-of-parentage and genetic-similarity estimates for 258 North American soybean cultivars released by public agencies during 1945-88. U.S. Dept. of Agriculture, Agricultural Research Service, 1993.

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Carter, Thomas E. Coefficient-of-parentage and genetic-similarity estimates for 258 North American soybean cultivars released by public agencies during 1945-88. U.S. Dept. of Agriculture, Agricultural Research Service, 1993.

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3

Carter, Thomas E. Coefficient-of-parentage and genetic-similarity estimates for 258 North American soybean cultivars released by public agencies during 1945-88. U.S. Dept. of Agriculture, Agricultural Research Service, 1993.

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4

Carter, Thomas E. Coefficient-of-parentage and genetic-similarity estimates for 258 North American soybean cultivars released by public agencies during 1945-88. U.S. Dept. of Agriculture, Agricultural Research Service, 1993.

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5

Carter, Thomas E. Coefficient-of-parentage and genetic-similarity estimates for 258 North American soybean cultivars released by public agencies during 1945-88. U.S. Dept. of Agriculture, Agricultural Research Service, 1993.

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6

Carter, Thomas E. Coefficient-of-parentage and genetic-similarity estimates for 258 North American soybean cultivars released by public agencies during 1945-88. U.S. Dept. of Agriculture, Agricultural Research Service, 1993.

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7

Arulampalam, Wiji. A note on estimated coefficients in random effects probit models. University of Warwick, Department of Economics, 1998.

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8

Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. American Institute of Aeronautics and Astronautics, 1995.

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9

Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. American Institute of Aeronautics and Astronautics, 1995.

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10

Morelli, Eugene A. Determining the accuracy of aerodynamic model parameters estimated from flight test data. American Institute of Aeronautics and Astronautics, 1995.

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11

Coon, William F. Estimates of roughness coefficients for selected natural stream channels with vegetated banks in New York. U.S. Geological Survey, 1995.

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12

Coon, William F. Estimates of roughness coefficients for selected natural stream channels with vegetated banks in New York. U.S. Dept. of the Interior, U.S. Geological Survey, 1995.

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13

George, Vahala, and Langley Research Center, eds. Renormalization group estimates of transport coefficients in the advection of a passive scalar by incompressible turbulence. National Aeronautics and Space Administration, Langley Research Center, 1993.

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14

Judd, Linda J. Techniques to estimate generalized skew coefficients of annual peak streamflow for natural basins in Texas. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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15

Razavi, Shahra, Umberto Cattaneo, Helmut Schwarzer, and Andrea Visentin. Combating inequalities. ILO, 2024. http://dx.doi.org/10.54394/eoay4970.

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The primary aim of this study is to provide evidence regarding the impact of social protection benefits, taxes and social security contributions in reducing income inequalities. The study employs a well-established methodology to estimate the partial redistributive effect of contributory and non-contributory pensions, family benefits, unemployment benefits, sickness and employment injury benefits, disability benefits, social security contributions, as well as income and property taxes. The partial redistributive effect corresponds to the percentage decrease in the Gini coefficient that is attr

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16

Klibanov, Michael V., and Alexander A. Timonov. Carleman Estimates for Coefficient Inverse Problems and Numerical Applications. de Gruyter GmbH, Walter, 2012.

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17

Klibanov, Michael V., and Alexander A. Timonov. Carleman Estimates for Coefficient Inverse Problems and Numerical Applications. De Gruyter, Inc., 2200.

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18

Carleman Estimates for Coefficient Inverse Problems and Numerical Applications. De Gruyter, Inc., 2004.

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19

Klibanov, M. V., and A. A. Timonov. Carleman Estimates For Coefficient Inverse Problems And Numerical Applications (Inverse and Ill-Posed Problems Series). Brill Academic Publishers, 2004.

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20

Streiner, David L., Geoffrey R. Norman, and John Cairney. Reliability. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.003.0008.

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This chapter reviews the basic theory of reliability, and examines the relation between reliability and measurement error. It derives the standard form of reliability, the intraclass correlation or ICC, from repeated measures ANOVA. The chapter explores issues in the application of the reliability coefficient, including absolute versus relative reliability, the reliability of multiple observations, and the standard error of measurement. It examines several other measures of reliability—Cohen’s kappa, Pearson r, and the method of Altman and Bland—and derives the relation between them and the IC

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21

Isett, Philip. Bounds for Coefficients from the Stress Equation. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691174822.003.0020.

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This chapter estimates the bounds for coefficients from the Stress equation. It starts by considering the coefficients γ‎subscript I and the equation that implicitly defines it. It then estimates the derivatives of γ‎subscript I by differentiating the equation. The first transport derivative always costs a factor Ξ‎eᵥ½ in the estimates, and each spatial derivative costs a factor of Ξ‎ until the total order of differentiation exceeds L, at which point one obtains a larger cost of Nsuperscript 1/LΞ‎ per derivative. The chapter also considers the bounds satisfied by the coefficients γ‎subscript I

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22

Robbiano, Luc, and Claude Zuily. Strichartz Estimates for Schrodinger Equations With Variable Coefficients. Societe Mathematique De France, 2005.

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23

Dispersive and Strichartz Estimates for Hyperbolic Equations with Constant Coefficients. The Mathematical Society of Japan, 2010. http://dx.doi.org/10.2969/msjmemoirs/022010000.

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24

Upender, M. Estimates of Coefficients of Economic Relationships Some Exercises for India. Manak, 2002.

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25

Dispersive and Strichartz Estimates for Hyperbolic Equations with Constant Coefficients. Mathematical Society of Japan, 2010.

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26

Epstein, Charles L., and Rafe Mazzeo. The Resolvent Operator. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691157122.003.0011.

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This chapter describes the construction of a resolvent operator using the Laplace transform of a parametrix for the heat kernel and a perturbative argument. In the equation (μ‎-L) R(μ‎) f = f, R(μ‎) is a right inverse for (μ‎-L). In Hölder spaces, these are the natural elliptic estimates for generalized Kimura diffusions. The chapter first constructs the resolvent kernel using an induction over the maximal codimension of bP, and proves various estimates on it, along with corresponding estimates for the solution operator for the homogeneous Cauchy problem. It then considers holomorphic semi-gro

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27

Dussaule, Jean-Claude, Martin Flamant, and Christos Chatziantoniou. Function of the normal glomerulus. Edited by Neil Turner. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0044_update_001.

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Glomerular filtration, the first step leading to the formation of primitive urine, is a passive phenomenon. The composition of this primitive urine is the consequence of the ultrafiltration of plasma depending on renal blood flow, on hydrostatic pressure of glomerular capillary, and on glomerular coefficient of ultrafiltration. Glomerular filtration rate (GFR) can be precisely measured by the calculation of the clearance of freely filtrated exogenous substances that are neither metabolized nor reabsorbed nor secreted by tubules: its mean value is 125 mL/min/1.73 m² in men and 110 mL/min/1.73 m

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28

Gochis, David J. Estimated plant water use and crop coefficients for drip-irrigated hybrid polars. 1998.

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29

Houle, Christian. Does Inequality Harm Economic Development and Democracy? Edited by Carol Lancaster and Nicolas van de Walle. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199845156.013.4.

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This article examines whether economic inequality undermines economic development and democracy in the long run. After reviewing the literature on the effect of inequality on economic development and democracy, it considers three approaches that have been put forward to explain why inequality harms the economy and democracy: (1) the political economy approach, (2) the social unrest approach, and (3) the credit market imperfections approach. A complete data set on inequality is generated using three measures of inequality: the capital share data set of Ortega and Rodriguez (2006), the Gini coef

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30

Renormalization group estimates of transport coefficients in the advection of a passive scalar by incompressible turbulence. National Aeronautics and Space Administration, Langley Research Center, 1993.

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31

National Aeronautics and Space Administration (NASA) Staff. Renormalization Group Estimates of Transport Coefficients in the Advection of a Passive Scalar by Incompressible Turbulence. Independently Published, 2018.

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32

Delsol, Laurent. Nonparametric Methods for α-Mixing Functional Random Variables. Редактори Frédéric Ferraty та Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.5.

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This article considers how functional kernel methods can be used to study α-mixing datasets. It first provides an overview of how prediction problems involving dependent functional datasets may arise from the study of time series, focusing on the standard discretized model and modelization that takes into account the functional nature of the evolution of the quantity to be studied over time. It then considers strong mixing conditions, with emphasis on the notion of α-mixing coefficients and α-mixing variables introduced by Rosenblatt (1956). It also describes some conditions for a Markov chain

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33

Skiba, Grzegorz. Fizjologiczne, żywieniowe i genetyczne uwarunkowania właściwości kości rosnących świń. The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences, 2020. http://dx.doi.org/10.22358/mono_gs_2020.

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Bones are multifunctional passive organs of movement that supports soft tissue and directly attached muscles. They also protect internal organs and are a reserve of calcium, phosphorus and magnesium. Each bone is covered with periosteum, and the adjacent bone surfaces are covered by articular cartilage. Histologically, the bone is an organ composed of many different tissues. The main component is bone tissue (cortical and spongy) composed of a set of bone cells and intercellular substance (mineral and organic), it also contains fat, hematopoietic (bone marrow) and cartilaginous tissue. Bones a

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