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Statistical Regression with Measurement Error

Providing a general survey of the theory of measurement error models, including the functional, structural, and ultrastructural models;

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Radiation Risk Estimation

covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part, risk;

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Partially Linear Models

art of partially linear regression techniques. The emphasis is on methodologies rather than on the theory, with a particular focus on;

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Measurement Error

of measurement errors on naive analyses that ignore them and presents ways to correct for them across a variety of statistical models, from simple one;

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Measurement Error

of measurement errors on naive analyses that ignore them and presents ways to correct for them across a variety of statistical models, from simple one;

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Handbook of Measurement Error Models

chapters concerning issues of measurement error and evolving statistical methods, with a good balance of methodology and applications. It;

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Measurement Error

how statistical agencies deal with measurement errors. This volume is the result of the selection of high-quality papers presented at the;

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Understanding Regression Assumptions

are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically;

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Measurement Error Models

model variables are observed subject to measurement error. Regression models are included with errors in the variables, latent variable models;

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Measurement Error in Nonlinear Models

It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field;

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Measurement Uncertainties in Science and Technology

In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques. Revising Gauss;

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Statistics and Measurement Concepts with OpenStat

of statistical methods and techniques. A unique feature is its compatibility with many other statistical programs. OpenStat users are researchers and;

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Survey Errors and Survey Costs

Presents a comprehensive treatment of survey errors and the costs and benefits of alternative survey designs, integrating statistical and;

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Measurement Error and Misclassification in Statistics and Epidemiology

both continuous and categorical variables, Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian;

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Measurement Error And Research Design

Viswanathan's work is organized around the meaning of measurement error. It begins with a brief overview of measurement principles supplemented with;

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Understanding Statistical Error

This accessible introductory textbook provides a straightforward, practical explanation of how statistical analysis and error measurements;

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Applied Statistical Science II

Ranked Set Sample; Lower Bound to Mean Square Error of Estimator in Unequal Probability Sampling; Asymptomic Shrinkage Estimation: The Regression;

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Flexible Bayesian Regression Modelling

Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in regression modeling, for use in advanced;

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Confidence Intervals in Generalized Regression Models

generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical;

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Confidence Intervals in Generalized Regression Models

generalized regression model (GRM)-of various types of regression models. It also uses a likelihood-based approach for performing statistical;

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Measurement in the Social Sciences

. By differentiating between random and systematic error, it conveys both statistical techniques and their theoretical underpinnings essential;

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Mechanical Measurements

This book focuses both on the basics and more complex topics in mechanical measurements such as measurement errors & statistical;

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Robust Statistical Methods with R, Second Edition

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new;

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Robust Statistical Methods with R, Second Edition

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new;

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Coverage Measurement in the 2010 Census

measurement of net coverage error. For the 2010 census coverage measurement program, the Census Bureau will deemphasize that goal, and is instead;

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Statistical Regression Modeling with R

of statistics and data science. With data and computing programs available to facilitate readers' learning experience, Statistical Regression Modeling;

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Statistical Regression Modeling with R

of statistics and data science. With data and computing programs available to facilitate readers' learning experience, Statistical Regression Modeling;

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