Titlebook: Linear and Generalized Linear Mixed Models and Their Applications; Jiming Jiang Book 20071st edition Springer-Verlag New York 2007 Regress

膠狀

胡言亂語(yǔ)

Generalized Linear Mixed Models: Part I,es through a link function; and (iii)′ the variance of the observation is a function of the mean. Note that (iii)′ is a result of (ii)′. See McCullagh and Nelder (1989) for details. Unlike linear models, GLMs include a variety of models that includes normal, binomial, Poisson, and multinomial as spe

戲服

Book 20071st editionractice, one is never certain that normality holds. This book o?ers a systematic approach to inference about non-Gaussian linear mixed models. In particular, it has included recently developed methods, such as partially observed information, iterative weighted least squares, and jackknife in the con

maroon

小木槌

Linear Mixed Models: Part I,atter can be expressed as . = . + ., where . is a vector of observations, . is a matrix of known covariates, . is a vector of unknown regression coefficients, and . is a vector of (unobservable random) errors. In this model, the regression coefficients are considered fixed. However, there are cases

滴注

Linear Mixed Models: Part II,ce, namely, tests in linear mixed models. Section 2.1.1 discusses statistical tests in Gaussian mixed models. As shown, exact .-tests can often be derived under Gaussian ANOVA models. Furthermore, in some special cases, optimal tests such as uniformly most powerful unbiased (UMPU) tests exist and co

冷淡周邊

Generalized Linear Mixed Models: Part I,the observations are discrete, or categorical. For example, the number of heart attacks of a potential patient during the past year takes the values 0, 1, 2, ..., and therefore is a discrete random variable. McCullagh and Nelder (1989) proposed an extension of linear models, called generalized linea

強(qiáng)所

Generalized Linear Mixed Models: Part II,t to evaluate. For relatively simple models, the likelihood function may be evaluated by numerical integration techniques. See, for example, Hinde (1982), and Crouch and Spiegelman (1990). Such a technique is tractable if the integrals involved are low-dimensional. The following is an example.

lobster

6樓

賠償

6樓