大洪水 发表于 2025-3-25 06:00:27
https://doi.org/10.1007/978-1-4612-4578-0Chi-squared distribution; Estimator; Likelihood; Variance; best fit; information theory; multinomial distr女歌星 发表于 2025-3-25 11:05:16
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 rHEW 发表于 2025-3-25 13:30:28
http://reply.papertrans.cn/39/3874/387384/387384_23.pngScintillations 发表于 2025-3-25 18:26:44
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 powehyperuricemia 发表于 2025-3-25 22:17:42
http://reply.papertrans.cn/39/3874/387384/387384_25.png不满分子 发表于 2025-3-26 00:59:36
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 rPURG 发表于 2025-3-26 05:06:08
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偶像 发表于 2025-3-26 11:30:40
http://reply.papertrans.cn/39/3874/387384/387384_28.pngLittle 发表于 2025-3-26 14:49:30
http://reply.papertrans.cn/39/3874/387384/387384_29.png构成 发表于 2025-3-26 20:25:23
Goodness-of-Fit Statistics for Discrete Multivariate Data