標(biāo)題: Titlebook: Linear and Generalized Linear Mixed Models and Their Applications; Jiming Jiang Book 20071st edition Springer-Verlag New York 2007 Regress [打印本頁] 作者: microbe 時(shí)間: 2025-3-21 18:44
書目名稱Linear and Generalized Linear Mixed Models and Their Applications影響因子(影響力)
書目名稱Linear and Generalized Linear Mixed Models and Their Applications影響因子(影響力)學(xué)科排名
書目名稱Linear and Generalized Linear Mixed Models and Their Applications網(wǎng)絡(luò)公開度
書目名稱Linear and Generalized Linear Mixed Models and Their Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Linear and Generalized Linear Mixed Models and Their Applications被引頻次
書目名稱Linear and Generalized Linear Mixed Models and Their Applications被引頻次學(xué)科排名
書目名稱Linear and Generalized Linear Mixed Models and Their Applications年度引用
書目名稱Linear and Generalized Linear Mixed Models and Their Applications年度引用學(xué)科排名
書目名稱Linear and Generalized Linear Mixed Models and Their Applications讀者反饋
書目名稱Linear and Generalized Linear Mixed Models and Their Applications讀者反饋學(xué)科排名
作者: Talkative 時(shí)間: 2025-3-21 20:57
0172-7397 unt of theory and methods in the analysis of these models asOver the past decade there has been an explosion of developments in mixed e?ects models and their applications. This book concentrates on two major classes of mixed e?ects models, linear mixed models and generalized linear mixed models, wit作者: 痛恨 時(shí)間: 2025-3-22 00:23
Linear Mixed Models: Part II,incide with the exact .-tests. Section 2.1.2 considers tests in non-Gaussian linear mixed models. In such cases, exact/optimal tests typically do not exist. Therefore, statistical tests are usually developed based on asymptotic theory.作者: exostosis 時(shí)間: 2025-3-22 04:58
Linear Mixed Models: Part I, among the observations from the same individual, especially if the times at which the observations are collected are relatively close. In animal breeding, lactation yields of dairy cows associated with the same sire may be correlated. In educational research, test scores of the same student may be related.作者: 要控制 時(shí)間: 2025-3-22 11:12 作者: 柳樹；枯黃 時(shí)間: 2025-3-22 14:03
Linear and Generalized Linear Mixed Models and Their Applications978-0-387-47946-0Series ISSN 0172-7397 Series E-ISSN 2197-568X 作者: 把手 時(shí)間: 2025-3-22 19:39
https://doi.org/10.1007/978-0-387-47946-0Regression analysis; data analysis; generalized linear mixed models; linear mixed models; linear optimiz作者: TIGER 時(shí)間: 2025-3-22 22:46 作者: 儀式 時(shí)間: 2025-3-23 04:45 作者: 移植 時(shí)間: 2025-3-23 05:42 作者: 膠狀 時(shí)間: 2025-3-23 13:15 作者: 胡言亂語 時(shí)間: 2025-3-23 14:39
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作者: 戲服 時(shí)間: 2025-3-23 22:07
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作者: maroon 時(shí)間: 2025-3-23 23:03 作者: 小木槌 時(shí)間: 2025-3-24 04:26
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 作者: 滴注 時(shí)間: 2025-3-24 06:54
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作者: 冷淡周邊 時(shí)間: 2025-3-24 13:12
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作者: 強(qiáng)所 時(shí)間: 2025-3-24 17:48
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.作者: lobster 時(shí)間: 2025-3-24 19:57
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