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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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21#
發(fā)表于 2025-3-25 06:00:27 | 只看該作者
https://doi.org/10.1007/978-1-4612-4578-0Chi-squared distribution; Estimator; Likelihood; Variance; best fit; information theory; multinomial distr
22#
發(fā)表于 2025-3-25 11:05:16 | 只看該作者
Introduction to the Power-Divergence Statistic,widespread tendency to group data and to report group frequencies has led to many diverse applications throughout the sciences: for example, the reporting of survey responses (always, sometimes, never); the accumulation of patient treatment-response records (mild, moderate, severe, remission); the r
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發(fā)表于 2025-3-25 13:30:28 | 只看該作者
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發(fā)表于 2025-3-25 18:26:44 | 只看該作者
Modeling Cross-Classified Categorical Data,briefly those aspects of model fitting relevant to the development of further chapters, and we show how the power-divergence statistic adds a new dimension to categorical data analysis. In addition, Section 3.4 describes methods of estimating unknown model parameters from the perspective of the powe
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發(fā)表于 2025-3-25 22:17:42 | 只看該作者
26#
發(fā)表于 2025-3-26 00:59:36 | 只看該作者
Writing to and from the Asylum,widespread tendency to group data and to report group frequencies has led to many diverse applications throughout the sciences: for example, the reporting of survey responses (always, sometimes, never); the accumulation of patient treatment-response records (mild, moderate, severe, remission); the r
27#
發(fā)表于 2025-3-26 05:06:08 | 只看該作者
Conclusion: Knowledge, Power and Agency,uce the concept of a null model for the parameters of the sampling distribution in Section 2.1, and motivate the use of goodness-of-fit test statistics to check the null model in Section 2.2. A detailed example is given in Section 2.3, which illustrates how the magnitudes of the cell frequencies cau
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發(fā)表于 2025-3-26 11:30:40 | 只看該作者
29#
發(fā)表于 2025-3-26 14:49:30 | 只看該作者
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發(fā)表于 2025-3-26 20:25:23 | 只看該作者
Goodness-of-Fit Statistics for Discrete Multivariate Data
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