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Practical Tools for Designing and Weighting Survey Samples, Richard Valliant; Jill A. Dever; Frauke Kreuter


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Автор: Richard Valliant; Jill A. Dever; Frauke Kreuter
Название:  Practical Tools for Designing and Weighting Survey Samples
ISBN: 9783030066987
Издательство: Springer
Классификация:



ISBN-10: 3030066983
Обложка/Формат: Soft cover
Страницы: 776
Вес: 1.21 кг.
Дата издания: 2018
Серия: Statistics for Social and Behavioral Sciences
Язык: English
Издание: Softcover reprint of
Иллюстрации: 6 tables, color; 14 illustrations, color; 52 illustrations, black and white; xxvi, 776 p. 66 illus., 14 illus. in color.
Размер: 234 x 156 x 41
Читательская аудитория: General (us: trade)
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This volume serves at least three audiences: (1) students of applied sampling techniques; 2) practicing survey statisticians applying concepts learned in theoretical or applied sampling courses; and (3) social scientists and other survey practitioners who design, select, and weight survey samples.The text thoroughly covers fundamental aspects of survey sampling, such as sample size calculation (with examples for both single- and multi-stage sample design) and weight computation, accompanied by software examples to facilitate implementation. Features include step-by-step instructions for calculating survey weights, extensive real-world examples and applications, and representative programming code in R, SAS, and other packages.Since the publication of the first edition in 2013, there have been important developments in making inferences from nonprobability samples, in address-based sampling (ABS), and in the application of machine learning techniques for survey estimation. New to this revised and expanded edition:• Details on new functions in the PracTools package• Additional machine learning methods to form weighting classes• New coverage of nonlinear optimization algorithms for sample allocation• Reflecting effects of multiple weighting steps (nonresponse and calibration) on standard errors• A new chapter on nonprobability sampling• Additional examples, exercises, and updated references throughoutRichard Valliant, PhD, is Research Professor Emeritus at the Institute for Social Research at the University of Michigan and at the Joint Program in Survey Methodology at the University of Maryland. He is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an Associate Editor of the Journal of the American Statistical Association, Journal of Official Statistics, and Survey Methodology. Jill A. Dever, PhD, is Senior Research Statistician at RTI International in Washington, DC. She is a Fellow of the American Statistical Association, Associate Editor for Survey Methodology and the Journal of Official Statistics, and an Assistant Research Professor in the Joint Program in Survey Methodology at the University of Maryland. She has served on several panels for the National Academy of Sciences and as a task force member for the American Association of Public Opinion Research’s report on nonprobability sampling. Frauke Kreuter, PhD, is Professor and Director of the Joint Program in Survey Methodology at the University of Maryland, Professor of Statistics and Methodology at the University of Mannheim, and Head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in N?rnberg, Germany. She is a Fellow of the American Statistical Association and has been Associate Editor of the Journal of the Royal Statistical Society, Journal of Official Statistics, Sociological Methods and Research, Survey Research Methods, Public Opinion Quarterly, American Sociological Review, and the Stata Journal<
Дополнительное описание: Preface.- Acknowledgements.- 1 An Overview of Sample Design and Weighting.- 2 Project 1: Design a Single-Stage Personnel Survey.- 3 Sample Design and Sample Size for Single-Stage Surveys.- 4 Power Calculations and Sample Size Determination.- 5 Mathematica



Survey weights

Автор: Valliant, Richard Dever, Jill A.
Название: Survey weights
ISBN: 1597182605 ISBN-13(EAN): 9781597182607
Издательство: Taylor&Francis
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Цена: 7961.00 р.
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Описание: Survey Weights: A Step-by-Step Guide to Calculation is the first guide geared towards Stata users that systematically covers the major steps taken in creating survey weights. These weights are used to project a sample to some larger population and can be computed for either probability or nonprobability samples.

A New Concept for Tuning Design Weights in Survey Sampling

Автор: Sarjinder Singh
Название: A New Concept for Tuning Design Weights in Survey Sampling
ISBN: 0081005946 ISBN-13(EAN): 9780081005941
Издательство: Elsevier Science
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Цена: 17517.00 р.
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Описание:

A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice introduces the new concept of tuning design weights in survey sampling by presenting three concepts: calibration, jackknifing, and imputing where needed. This new methodology allows survey statisticians to develop statistical software for analyzing data in a more precisely and friendly way than with existing techniques.

Drawing Inferences From Self-selected Samples

Название: Drawing Inferences From Self-selected Samples
ISBN: 1138967963 ISBN-13(EAN): 9781138967960
Издательство: Taylor&Francis
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Цена: 6889.00 р.
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Описание: This volume serves as a guide to research in the area of drawing inferences from self-selected samples. Of interest to prof audience of policy makers, survey researchrs, pollsters, market researchrs, statisticians, demographers, economists & sociologists

Data Analysis with Small Samples and Non-Normal Data: Nonparametrics and Other Strategies

Автор: Siebert Carl F., Siebert Darcy Clay
Название: Data Analysis with Small Samples and Non-Normal Data: Nonparametrics and Other Strategies
ISBN: 0199391491 ISBN-13(EAN): 9780199391493
Издательство: Oxford Academ
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Цена: 4909.00 р.
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Описание: Written in everyday language for non-statisticians, this book provides all the information needed to successfully conduct nonparametric analyses. This ideal reference book provides step-by-step instructions to lead the reader through each analysis, screenshots of the software and output, and case scenarios to illustrate of all the analytic techniques.

Practical Tools for Designing and Weighting Survey Samples

Автор: Valliant
Название: Practical Tools for Designing and Weighting Survey Samples
ISBN: 331993631X ISBN-13(EAN): 9783319936314
Издательство: Springer
Рейтинг:
Цена: 11179.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed.

Transformation and Weighting in Regression

Автор: Carroll, Raymond J. , Ruppert, David
Название: Transformation and Weighting in Regression
ISBN: 0367403374 ISBN-13(EAN): 9780367403379
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание:

This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness. The authors have developed statistical techniques--such as formal fitting methods and less formal graphical techniques-- that can be applied to many problems across a range of disciplines, including pharmacokinetics, econometrics, biochemical assays, and fisheries research.

While the main focus of the book in on data transformation and weighting, it also draws upon ideas from diverse fields such as influence diagnostics, robustness, bootstrapping, nonparametric data smoothing, quasi-likelihood methods, errors-in-variables, and random coefficients. The authors discuss the computation of estimates and give numerous examples using real data. The book also includes an extensive treatment of estimating variance functions in regression.


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