[绝对好书]Practical Tools for Designing and Weighting Survey Samples-经管之家官网!

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[绝对好书]Practical Tools for Designing and Weighting Survey Samples

[绝对好书]Practical Tools for Designing and Weighting Survey Samples

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【绝对好书,精彩原版】调查抽样实用教程PracticalToolsforDesigningandWeightingSurveySamplesByRichardValliant,JillA.Dever,FraukeKreuter2013|640Pages|ISBN:146146448X|PDF|7MB【作者简介】RichardValliant为美 ...
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【绝对好书,精彩原版】

调查抽样实用教程


Practical Tools for Designing and Weighting Survey Samples By Richard Valliant, Jill A. Dever, Frauke Kreuter
2013 | 640 Pages | ISBN: 146146448X | PDF | 7 MB
【作者简介】
Richard Valliant为美国University of Michigan, Ann Arbor统计学教授。
Frauke Kreuter为美国University of Maryland,College Park统计学教授。
【教材简介】
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.
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