遗产
发表于 2025-3-30 11:43:03
Univariate Continuous Distributionslated according to their support, and/or the distribution from which they are derived (e.g., beta-type, gamma-type), and/or their purpose (e.g., statistical size distributions, actuarial distributions).
defuse
发表于 2025-3-30 14:36:19
Categorical Data Analysisl logit model for nominal responses; and for ordinal responses: the proportional and non-proportional-odds models, continuation and stopping ratio models, and the adjacent categories model. Some other topics includes the . argument for allowing ..-specific covariates, the Poisson trick, marginal effects, and genetic models.
积习已深
发表于 2025-3-30 19:21:14
Vector Generalized Linear and Additive Models978-1-4939-2818-7Series ISSN 0172-7397 Series E-ISSN 2197-568X
渗入
发表于 2025-3-30 22:20:26
VGLMsThis chapter covers the most important class of models, viz. vector generalized linear models (VGLMs). It includes the basic ideas of (parameter) link functions, constraint matrices, the . argument, inference, computational details, (e.g., QR decomposition, Cholesky), residuals and diagnostics. Some basic details on software usage is given.
赞美者
发表于 2025-3-31 03:46:17
Other TopicsThis chapter looks at a selection of miscellaneous topics, such as calculation of working weights by simulated Fisher scoring (SFS), information criteria for model selection, and bias-reduction (for GLMs). The latter has been used to obtain a finite solution to completely separated binary data.
合同
发表于 2025-3-31 07:08:45
Bivariate Continuous DistributionsThis chapter lists a small number of bivariate distributions whose parameters can easily be estimated by IRLS. A handful of a special type of bivariate distribution, called copulas, are also implemented. Some special consideration is given to the bivariate normal distribution and Plackett’s bivariate distribution.
emulsify
发表于 2025-3-31 10:16:46
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旋转一周
发表于 2025-3-31 16:48:33
Thomas W. YeeFirst comprehensive book on Vector Generalized Linear Models.Builds on success of VGAM R package, which is used to show applications of the methodology.Techniques on regression and parametric and non-