拱形面包 发表于 2025-3-25 06:47:55

Linear Models for Spatial Data: Kriging,high-quality copper are more likely to occur near other high-quality deposits. The levels of lead contamination in the soil around a smelter are likely to be correlated. The prevalence of AIDS viewed geographically is correlated. There are innumerable situations in which data are collected at variou

B-cell 发表于 2025-3-25 10:07:16

Springer-Verlag New York 1991

OTTER 发表于 2025-3-25 14:32:15

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Cholagogue 发表于 2025-3-25 17:12:15

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脱毛 发表于 2025-3-25 23:23:50

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Metastasis 发表于 2025-3-26 02:47:32

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罗盘 发表于 2025-3-26 06:56:23

Time Domain Analysis,. , .., ..,... In the traditional approach, the variance components in the spectral approximation will be nonzero, thus there is little chance of developing a parsimonious model. (The model with measurement error is more promising in this regard.)

LAP 发表于 2025-3-26 10:43:41

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发表于 2025-3-26 13:09:34

Multivariate Linear Models,987, Section XIII.1) and multivariate one-way analysis of variance. Principal components are user-constructed variables which are best linear predictors (cf. Christensen, 1987, Section VI.3) of the original data. Factor analysis has ties to both multivariate linear models and principal components.

Dna262 发表于 2025-3-26 17:47:54

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查看完整版本: Titlebook: Linear Models for Multivariate, Time Series, and Spatial Data; Ronald Christensen Textbook 19911st edition Springer-Verlag New York 1991 C