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Sampling Algorithms / by Yves Tillé
(Springer Series in Statistics. ISSN:2197568X)
版 | 1st ed. 2006. |
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出版者 | New York, NY : Springer New York : Imprint: Springer |
出版年 | 2006 |
本文言語 | 英語 |
大きさ | XII, 216 p : online resource |
著者標目 | *Tillé, Yves author SpringerLink (Online service) |
件 名 | LCSH:Statistics LCSH:Mathematical statistics -- Data processing 全ての件名で検索 LCSH:Social sciences -- Statistical methods 全ての件名で検索 FREE:Statistical Theory and Methods FREE:Statistics and Computing FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
一般注記 | and Overview -- Population, Sample, and Sampling Design -- Sampling Algorithms -- Simple Random Sampling -- Unequal Probability Exponential Designs -- The Splitting Method -- More on Unequal Probability Designs -- Balanced Sampling -- An Example of the Cube Method Over the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory of new methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. The algorithms are described rigorously, which allows implementing directly the described methods. This book is aimed at experienced statisticians who are familiar with the theory of survey sampling.Yves Tillé is a professor at the University of Neuchâtel (Switzerland) HTTP:URL=https://doi.org/10.1007/0-387-34240-0 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9780387342405 |
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EB00230894 |
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