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 variouB-cell 发表于 2025-3-25 10:07:16
Springer-Verlag New York 1991OTTER 发表于 2025-3-25 14:32:15
http://reply.papertrans.cn/59/5864/586345/586345_23.pngCholagogue 发表于 2025-3-25 17:12:15
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http://reply.papertrans.cn/59/5864/586345/586345_25.pngMetastasis 发表于 2025-3-26 02:47:32
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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
http://reply.papertrans.cn/59/5864/586345/586345_28.png总 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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