Titlebook: Linear Mixed Models for Longitudinal Data; Geert Verbeke,Geert Molenberghs Book 2000 Springer Science+Business Media New York 2000 Fitting

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書目名稱Linear Mixed Models for Longitudinal Data影響因子(影響力)




書目名稱Linear Mixed Models for Longitudinal Data影響因子(影響力)學科排名




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書目名稱Linear Mixed Models for Longitudinal Data網絡公開度學科排名




書目名稱Linear Mixed Models for Longitudinal Data被引頻次




書目名稱Linear Mixed Models for Longitudinal Data被引頻次學科排名




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書目名稱Linear Mixed Models for Longitudinal Data年度引用學科排名




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書目名稱Linear Mixed Models for Longitudinal Data讀者反饋學科排名

真實的人

PRISE

The Heterogeneity Model,r than from just one single normal distribution. This not only extends the assumption about the random-effects distribution to a very broad class of distributions (unimodal as well as multimodal, symmetric as well as highly skewed; see Figure 7.5), it is also perfectly suitable for classification purposes, based on longitudinal profiles.

Lumbar-Stenosis

使混合

BRAND

CUB

Estimation of the Marginal Model,cts. An example of this can be found in Section 5.6.2. In this and the next chapter, we will discuss inference for the parameters in the marginal distribution (5.1). Later, in Chapter 7, it will be shown how the random effects can be estimated under the explicit assumption that . satisfies model (3.8).

transdermal

教義

Diatribe