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＜電子ブック＞
Advanced Sampling Theory with Applications : How Michael’ selected’ Amy Volume I / by S. Singh

版	1st ed. 2003.
出版者	(Dordrecht : Springer Netherlands : Imprint: Springer)
出版年	2003
本文言語	英語
大きさ	LIV, 1219 p : online resource
著者標目	*Singh, S author SpringerLink (Online service)
件　名	LCSH:Biometry LCSH:Statistics  LCSH:Business LCSH:Management science FREE:Biostatistics FREE:Statistics FREE:Business and Management FREE:Statistics in Business, Management, Economics, Finance, Insurance
一般注記	Basic Concepts and Mathematical Notation -- Simple Random Sampling -- Use of Auxiliary Information: Simple Random Sampling -- Use of Auxiliary Information: Probability Proportional to Size and with Replacement (PPSWR) Sampling -- Use of Auxiliary Information: Probability Proportional to Size and Without Replacement (PPSWOR) Sampling -- Use of Auxiliary Information: Multi-Phase Sampling -- Systematic Sampling -- Stratified and Post-Stratified Sampling -- Non-Overlapping, Overlapping, Post, and Adaptive Cluster Sampling -- Multi-Stage, Successive, and Re-Sampling Strategies -- Randomized Response Sampling: Tools For Social Surveys -- Non-Response and Its Treatments -- Miscellaneous Topics This book is a multi-purpose document. It can be used as a text by teachers, as a reference manual by researchers, and as a practical guide by statisticians. It covers 1165 references from different research journals through almost 1900 citations across 1194 pages, a large number of complete proofs of theorems, important results such as corollaries, and 324 unsolved exercises from several research papers. It includes 159 solved, data-based, real life numerical examples in disciplines such as Agriculture, Demography, Social Science, Applied Economics, Engineering, Medicine, and Survey Sampling. These solved examples are very useful for an understanding of the applications of advanced sampling theory in our daily life and in diverse fields of science. An additional 173 unsolved practical problems are given at the end of the chapters. University and college professors may find these useful when assigning exercises to students. Each exercise gives exposure to several complete research papers for researchers/students HTTP:URL=https://doi.org/10.1007/978-94-007-0789-4

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