收集
发表于 2025-3-25 03:54:08
Daiki Muroya,Kazuhisa Seta,Yuki Hayashiy contexts, with three common situations being when sampling is over time, space, or within families. We do not discuss pure time series applications in which data are collected over a single (usually long) series; this is a vast topic with many specialized texts. Generically, we consider regression
真繁荣
发表于 2025-3-25 10:23:10
http://reply.papertrans.cn/19/1819/181890/181890_22.png
恭维
发表于 2025-3-25 12:43:23
Hypothesis Testing and Variable Selection tests is driven by the data. Section 4.9 provides a discussion of the impact on inference that the careless use of variable selection can have. Section 4.10 describes a pragmatic approach to variable selection. Concluding remarks appear in Section 4.11.
心胸狭窄
发表于 2025-3-25 19:26:53
General Regression Models9.6 devoted to a Bayesian treatment. Section9.7 illustrates some of the flexibility of GLMMs by describing and applying a particular model for spatial dependence. An alternative random effects specification, based on conjugacy, is described in Sect.9.8. An important approach to the modeling and anal
Chauvinistic
发表于 2025-3-25 23:30:18
http://reply.papertrans.cn/19/1819/181890/181890_25.png
幻想
发表于 2025-3-26 01:03:50
Katsuya Hashimoto,Yoshio Nakatani tests is driven by the data. Section 4.9 provides a discussion of the impact on inference that the careless use of variable selection can have. Section 4.10 describes a pragmatic approach to variable selection. Concluding remarks appear in Section 4.11.
无关紧要
发表于 2025-3-26 07:03:51
http://reply.papertrans.cn/19/1819/181890/181890_27.png
戏法
发表于 2025-3-26 08:40:56
0172-7397 all of the analyses and figures in the book: http://faculty..Bayesian and Frequentist Regression Methods. provides a modern account of both Bayesian and frequentist methods of regression analysis. Many texts cover one or the other of the approaches, but this is the most comprehensive combination of
GULF
发表于 2025-3-26 16:19:59
Konoki Tei,Toru Kano,Takako Akakura(nonrandom) quantities, and consequently there is no possibility of making probability statements about these unknowns. As the name suggests, the frequentist approach is characterized by a frequency view of probability, and the behavior of inferential procedures is evaluated under hypothetical repeated sampling of the data.
Diluge
发表于 2025-3-26 20:51:31
http://reply.papertrans.cn/19/1819/181890/181890_30.png