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Practical Tools for Designing and Weighting Survey Samples

ISBN-10: 146146448X
ISBN-13: 9781461464488
Edition: 2013
List price: $62.99 Buy it from $29.69
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Description: Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existing software can be used to  More...

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Book details

List price: $62.99
Copyright year: 2013
Publisher: Springer London, Limited
Publication date: 5/16/2013
Binding: Hardcover
Pages: 670
Size: 6.50" wide x 9.50" long x 1.75" tall
Weight: 2.486
Language: English

Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners 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 book serves at least three audiences: (1) Students seeking a more in-depth understanding of applied sampling either through a second semester-long course or by way of a supplementary reference; (2) Survey statisticians searching for practical guidance on how to apply concepts learned in theoretical or applied sampling courses; and (3) Social scientists and other survey practitioners who desire insight into the statistical thinking and steps taken to design, select, and weight random survey samples. Several survey data sets are used to illustrate how to design samples, to make estimates from complex surveys for use in optimizing the sample allocation, and to calculate weights. Realistic survey projects are used to demonstrate the challenges and provide a context for the solutions. The book covers several topics that either are not included or are dealt with in a limited way in other texts. These areas include: sample size computations for multistage designs; power calculations related to surveys; mathematical programming for sample allocation in a multi-criteria optimization setting; nuts and bolts of area probability sampling; multiphase designs; quality control of survey operations; and statistical software for survey sampling and estimation. An associated R package, PracTools, contains a number of specialized functions for sample size and other calculations. The data sets used in the book are also available in PracTools, so that the reader may replicate the examples or perform further analyses.

RICHARD VALLIANT, PhD, is Associate Director at Westat, Rockville, Maryland. ALAN H. DORFMAN, PhD, is Senior Mathematical Statistician for the Bureau of Labor Statistics, Washington, D.C. RICHARD M. ROYALL, PhD, is Professor of Biostatistics, Johns Hopkins University, Baltimore, Maryland.

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