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Titlebook: Goodness-of-Fit Statistics for Discrete Multivariate Data; Timothy R. C. Read,Noel A. C. Cressie Textbook 1988 Springer-Verlag New York In

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發(fā)表于 2025-3-21 16:29:12 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Goodness-of-Fit Statistics for Discrete Multivariate Data
編輯Timothy R. C. Read,Noel A. C. Cressie
視頻videohttp://file.papertrans.cn/388/387384/387384.mp4
叢書名稱Springer Series in Statistics
圖書封面Titlebook: Goodness-of-Fit Statistics for Discrete Multivariate Data;  Timothy R. C. Read,Noel A. C. Cressie Textbook 1988 Springer-Verlag New York In
描述The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades. The develop- ment ofappropriate models is the common theme of books such as Cox (1970), Haberman (1974, 1978, 1979), Bishop et al. (1975), Gokhale and Kullback (1978), Upton (1978), Fienberg (1980), Plackett (1981), Agresti (1984), Goodman (1984), and Freeman (1987). The objective of our book differs from those listed above. Rather than concentrating on model building, our intention is to describe and assess the goodness-of-fit statistics used in the model verification part of the inference process. Those books that emphasize model development tend to assume that the model can be tested with one of the traditional goodness-of-fit tests 2 2 (e.g., Pearson‘s X or the loglikelihood ratio G ) using a chi-squared critical value. However, it is well known that this can give a poor approximation in many circumstances. This book provides the reader with a unified analysis of the traditional goodness-of-fit tests, describing their behavior and relative merits as well as introducing some new test statistics. The power-divergence family of stati
出版日期Textbook 1988
關(guān)鍵詞Chi-squared distribution; Estimator; Likelihood; Variance; best fit; information theory; multinomial distr
版次1
doihttps://doi.org/10.1007/978-1-4612-4578-0
isbn_softcover978-1-4612-8931-9
isbn_ebook978-1-4612-4578-0Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer-Verlag New York Inc. 1988
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沙發(fā)
發(fā)表于 2025-3-21 22:15:39 | 只看該作者
Textbook 1988The develop- ment ofappropriate models is the common theme of books such as Cox (1970), Haberman (1974, 1978, 1979), Bishop et al. (1975), Gokhale and Kullback (1978), Upton (1978), Fienberg (1980), Plackett (1981), Agresti (1984), Goodman (1984), and Freeman (1987). The objective of our book differ
板凳
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地板
發(fā)表于 2025-3-22 05:39:31 | 只看該作者
Writing to and from the Asylum,ting of survey responses (always, sometimes, never); the accumulation of patient treatment-response records (mild, moderate, severe, remission); the reporting of warranty failures (mechanical, electrical, no trouble found); and the collection of tolerances on a machined part (within specification, out of specification).
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發(fā)表于 2025-3-22 11:40:35 | 只看該作者
https://doi.org/10.1057/9780230249509tic provides a generalization that characterizes other models (including the linear model). The chapter concludes with a discussion in Section 3.6 of strategies for choosing an appropriate loglinear model.
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Conclusion: Knowledge, Power and Agency,se the traditional goodness-of-fit statistics to behave differently. An explanation of these differences is provided by studying the power-divergence statistic (introduced in Section 2.4) and is developed throughout this book. Section 2.5 considers an application from the area of visual perception.
8#
發(fā)表于 2025-3-22 23:21:22 | 只看該作者
Defining and Testing Models: Concepts and Examples,se the traditional goodness-of-fit statistics to behave differently. An explanation of these differences is provided by studying the power-divergence statistic (introduced in Section 2.4) and is developed throughout this book. Section 2.5 considers an application from the area of visual perception.
9#
發(fā)表于 2025-3-23 03:20:22 | 只看該作者
978-1-4612-8931-9Springer-Verlag New York Inc. 1988
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發(fā)表于 2025-3-23 06:12:35 | 只看該作者
Goodness-of-Fit Statistics for Discrete Multivariate Data978-1-4612-4578-0Series ISSN 0172-7397 Series E-ISSN 2197-568X
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