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Titlebook: Statistical Models for Proportions and Probabilities; George A.F. Seber Book 2013 The Author(s) 2013 Log Linear Models.Logistic Models.Mul

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发表于 2025-3-21 19:59:55 | 显示全部楼层 |阅读模式
书目名称Statistical Models for Proportions and Probabilities
编辑George A.F. Seber
视频video
概述An up-to-date review of recent research on the topic.Detailed theory for the distributions involved is presented.For undergraduate and graduate students of Statistics.Includes supplementary material:
丛书名称SpringerBriefs in Statistics
图书封面Titlebook: Statistical Models for Proportions and Probabilities;  George A.F. Seber Book 2013 The Author(s) 2013 Log Linear Models.Logistic Models.Mul
描述​Methods for making inferences from data about one or more probabilities and proportions are a fundamental part of a statistician’s toolbox and statistics courses. Unfortunately many of the quick, approximate methods currently taught have recently been found to be inappropriate. This monograph gives an up-to-date review of recent research on the topic and presents both exact methods and helpful approximations. Detailed theory is also presented for the different distributions involved, and can be used in a classroom setting. It will be useful for those teaching statistics at university level and for those involved in statistical consulting.
出版日期Book 2013
关键词Log Linear Models; Logistic Models; Multinominal Distributions; Probability; Proportions; Textbook
版次1
doihttps://doi.org/10.1007/978-3-642-39041-8
isbn_softcover978-3-642-39040-1
isbn_ebook978-3-642-39041-8Series ISSN 2191-544X Series E-ISSN 2191-5458
issn_series 2191-544X
copyrightThe Author(s) 2013
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发表于 2025-3-21 20:48:46 | 显示全部楼层
Several Proportions or Probabilities,mation, asymptotic normality theory, and simultaneous confidence intervals are given for the Multinomial distribution. The chapter closes with some applications to animal populations, including multiple-recapture methods, and the delta method.
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Several Proportions or Probabilities,g two proportions or probabilities from the same or different populations. Relative risks and odds ratios are also considered. Maximum likelihood estimation, asymptotic normality theory, and simultaneous confidence intervals are given for the Multinomial distribution. The chapter closes with some ap
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2191-544X helpful approximations. Detailed theory is also presented for the different distributions involved, and can be used in a classroom setting. It will be useful for those teaching statistics at university level and for those involved in statistical consulting.978-3-642-39040-1978-3-642-39041-8Series ISSN 2191-544X Series E-ISSN 2191-5458
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https://doi.org/10.1007/978-3-642-39041-8Log Linear Models; Logistic Models; Multinominal Distributions; Probability; Proportions; Textbook
发表于 2025-3-23 07:54:08 | 显示全部楼层
Multivariate Hypothesis Tests,o, Wald, Score, and Pearson’s goodness-of-fit tests. Particular emphasis is given to contingency tables, especially . tables where exact and approximate test methods are given, including methods for matched pairs.
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