Cholesterol
发表于 2025-3-23 11:40:19
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正式演说
发表于 2025-3-23 17:35:40
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厚颜
发表于 2025-3-23 22:03:39
https://doi.org/10.1007/978-3-642-21793-7l convenience and the relative ease of parameter interpretation. We discuss a number of issues that require consideration in order to perform a successful linear regression analysis. These issues are relevant irrespective of the inferential paradigm adopted and so apply to both frequentist and Bayesian analyses.
并入
发表于 2025-3-23 23:55:35
https://doi.org/10.1007/978-1-4419-0925-1Bayes; Frequentist Methods; Inference; Modeling; Regression Analysis
女歌星
发表于 2025-3-24 05:28:16
978-1-4939-3862-9Springer Science+Business Media, LLC, part of Springer Nature 2013
BLAZE
发表于 2025-3-24 08:49:40
Konoki Tei,Toru Kano,Takako Akakurarmation—this endeavor is known as .. In this first chapter, we will begin in Sect. 1.2 by making some general comments about model formulation. In Sect. 1.3, a number of examples will be described in order to motivate the material to follow in the remainder of this book. In Sect. 1.4, we examine, in
progestin
发表于 2025-3-24 14:23:52
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洁净
发表于 2025-3-24 17:05:39
https://doi.org/10.1007/978-3-540-73354-6s in contrast to the frequentist view described in Chap. 2 in which parameters are treated as fixed .. Specifically, with respect to the inferential targets of Sect. 2.1, the fixed but unknown parameters and hypotheses are viewed as random variables under the Bayesian approach. Additionally, the unk
Accrue
发表于 2025-3-24 19:00:10
Katsuya Hashimoto,Yoshio Nakatanis discussion, with an emphasis on critiquing the various approaches and on hypothesis testing in a regression setting. We examine both single and multiple hypothesis testing situations; Sects. 4.2 and 4.3 consider the frequentist and Bayesian approaches, respectively. Section 4.4 describes the well-
永久
发表于 2025-3-25 00:33:14
https://doi.org/10.1007/978-3-642-21793-7l convenience and the relative ease of parameter interpretation. We discuss a number of issues that require consideration in order to perform a successful linear regression analysis. These issues are relevant irrespective of the inferential paradigm adopted and so apply to both frequentist and Bayes