手势
发表于 2025-3-27 00:21:41
Fernando Cardim de Carvalho,Fernando Ferrari-Filhos 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-
packet
发表于 2025-3-27 03:16:02
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CARK
发表于 2025-3-27 08:52:30
Alvaro Angeriz,Philip Arestis,Tirthankar Chakravartyed linear models (GLMs) and, more briefly, nonlinear models. We first give an outline of this chapter. In Sect.9.2 we describe three motivating datasets to which we return throughout the chapter. The GLMs discussed in Sect.6.3 can be extended to incorporate dependences in observations on the same un
Conduit
发表于 2025-3-27 13:13:13
Philip Arestis,Luiz Fernando de Paula,Fernando Ferrari-Filhos 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-
optional
发表于 2025-3-27 14:36:42
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Indurate
发表于 2025-3-27 18:07:20
Lecio Morais,Alfredo Saad-Filhoed linear models (GLMs) and, more briefly, nonlinear models. We first give an outline of this chapter. In Sect.9.2 we describe three motivating datasets to which we return throughout the chapter. The GLMs discussed in Sect.6.3 can be extended to incorporate dependences in observations on the same un