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Titlebook: Binomial Distribution Handbook for Scientists and Engineers; Elart Collani,Klaus Dräger Book 2001 Springer Science+Business Media New York

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发表于 2025-3-21 16:10:57 | 显示全部楼层 |阅读模式
期刊全称Binomial Distribution Handbook for Scientists and Engineers
影响因子2023Elart Collani,Klaus Dräger
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图书封面Titlebook: Binomial Distribution Handbook for Scientists and Engineers;  Elart Collani,Klaus Dräger Book 2001 Springer Science+Business Media New York
影响因子.This book deals with estimating and testing the probability of an event. The purpose of the book is twofold: It aims at providing practitioners with refined and easy to use techniques as well as initiating a new field of research in theoretical statistics. The book contains completely new interval and point estimators that are superior to the traditional ones. This is especially true in the case of small and medium sized samples, which are characteristic for many fields of application. The estimators are tailored to a given situation and take into account the generally one knows the size of the probability to be measured. Thus, according the size of the probability different estimators should be used, similar to the case of measuring length, where the measurement method depends heavily on the size of the length to be measured. The approach yields more precise estimators and more powerful tests. It may also be applied to other estimation problems. .
Pindex Book 2001
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Binomial Distribution Handbook for Scientists and Engineers978-1-4612-0215-8
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Erland Arning,Teodoro Bottiglierithe CD-ROM. Similar to the case of the measurement procedure, each entry, i.e., each prediction region, is based on the sum of sample elements Xs and therefore is represented by a connected subset of {0,1,., n}, where n is the sample size. Thus the prediction regions are completely specified by their smallest and largest element, denoted by
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Carlos R. Ferreira,Kristina Cusmano-Ozoging measure functions is given. This theoretical introduction to approach and procedures addresses primarily academic and professional statisticians. In contrast, the present chapter is devoted to non-statisticians and statisticians who are only interested in applying statistical methods without bothering about the theoretical details.
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