Probability Theory, Statistics, Social Sciences - Research, Mathematics - Reference - Tables, Computer Science & Combinatorics
Exact Confidence Bounds when Sampling from Small Finite Universes: An Easy Reference Based o...
Tommy Wright, Ingram Olkin, J. G...
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Overview
This book is an extensive and easy to use reference for students and practitioners for finding exact confidence intervals when sampling from finite populations. It can be used by statisticians, engineers, life, physical, and social scientists, quality control personnel, auditors, accountants, and others. The book avoids the need for approximations especially in those cases where many approximations are known to perform poorly. This includes cases where the sample size is small and those cases where certain attributes are rare within the study population. The supporting development and theory of the exact results, provided in the table, are presented in an elementary manner making the book readily useful to a wide audience. While the problem addressed in this book is a common one, the exact solution is not commonly used by many, including statisticians, perhaps because of the involved combinatorics and the required computing. This book removes the need to compute these confidence bounds when sampling from small universes. This book will no doubt serve as a catalyst for research into other exact results and their applications for more complex sampling designs.Editorials
Booknews
Subtitled, An easy reference based on the hypergeometric distribution. Provides a complete and elementary development of the details behind confidence bounds and provides an extensive and easy- to-use table of optimal upper and lower confidence bounds for the subset of units with a particular attribute. Annotation c. Book News, Inc., Portland, OR (booknews.com)Book Details
Published
June 12, 1991
Publisher
Springer-Verlag New York, LLC
Pages
430
Format
Hardcover
ISBN
9780387975153