Results 241 to 250 of about 169,545 (279)
Some of the next articles are maybe not open access.
2002
In this chapter maximum likelihood estimates (MLEs) of the parameters in growth curve models are discussed. Also expectations and variancecovariance matrices of the estimates are considered. In general, the MLE of the regression coefficient is different from the generalized least square estimate (GLSE) discussed in Chapter 2, because the former is a ...
Jian-Xin Pan, Kai-Tai Fang
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In this chapter maximum likelihood estimates (MLEs) of the parameters in growth curve models are discussed. Also expectations and variancecovariance matrices of the estimates are considered. In general, the MLE of the regression coefficient is different from the generalized least square estimate (GLSE) discussed in Chapter 2, because the former is a ...
Jian-Xin Pan, Kai-Tai Fang
openaire +1 more source
2003
In this chapter, basic properties of estimators are collected. Gibbs fields are examined in the next chapter. Since the product structure of the sample space does not play any role for these considerations, let X be any finite set.
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In this chapter, basic properties of estimators are collected. Gibbs fields are examined in the next chapter. Since the product structure of the sample space does not play any role for these considerations, let X be any finite set.
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Principles of maximum entropy and maximum caliber in statistical physics
Reviews of Modern Physics, 2013Steve Pressé +2 more
exaly