Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects by James S. Hodges
Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects
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James S. Hodges
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Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects

Chapman & Hall/CRC Texts in Statistical Science

James S. Hodges

469 pages • missing pub info (editions)

nonfiction mathematics
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A First Step toward a Unified Theory of Richly Parameterized Linear Models Using mixed linear models to analyze data often leads to results that are mysterious, inconvenient, or wrong. Further compounding the problem, statisticians lack a cohesiv...

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