空气
发表于 2025-3-27 00:05:53
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Popcorn
发表于 2025-3-27 03:51:36
The Basic Model and The Estimation Problem,del. Then we state the essential estimation problem. Relationships among a constellation of possible estimation criteria are next studied, and finally an ordered combination of these key ideas is taken as the focus of our unbiased theory. In Chapter Ten we will look at a new combination of criteria
健壮
发表于 2025-3-27 08:16:40
Basic Linear Technique,, a subject we take up in the next chapter. The notions of vec, mat., I., tensor products ⊗, and some relations between them are discussed. Next are the space of symmetric matrices, its natural inner product, and a useful projection lemma.
GEN
发表于 2025-3-27 10:53:15
Linearization of the Basic Model,ter organization for the statement of the model, and of allowing us to apply where possible the large body of technique available for the linear model. We also present an alternative linearization of the basic model.
兽群
发表于 2025-3-27 16:20:00
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爱社交
发表于 2025-3-27 21:02:21
The Seely-Zyskind Results,ruly general solutions to optimal estimation of variance components. This is accomplished through a careful presentation of results which were developed in a series of papers by Justus Seely and George Zyskind: Zyskind , Seely , and Seely and Zyskind . Then at the end of the chapte
繁荣地区
发表于 2025-3-27 23:14:40
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Abominate
发表于 2025-3-28 05:22:59
Background from Algebra,. We have made an effort to keep the definitions to the minimum needed for an adequate description of this structure theory. Examples have been collected from the statistical literature which have a nontrivial algebraic content, but which may not have been appreciated as such by many readers.
Engulf
发表于 2025-3-28 09:45:51
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流浪者
发表于 2025-3-28 13:59:08
The Algebraic Structure of Variance Components,hus after showing that the space of optimal kernels is, in the kurtosis zero case, a semisimple Jordan algebra, we can invoke the First and Second Structure Theorems of Chapter 8, and this in turn will have purely statistical consequences as shown in Chapter 10. We also briefly examine when a member