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Linear Models for Multivariate, Time Series, and Spatial Data

Linear Models for Multivariate, Time Series, and Spatial Data
Catalogue Information
Field name Details
Dewey Class 519.2
Title Linear Models for Multivariate, Time Series, and Spatial Data ([EBook] /) / by Ronald Christensen.
Author Christensen, Ronald
Other name(s) SpringerLink (Online service)
Publication New York, NY : : Springer New York : : Imprint: Springer, , 1991.
Physical Details XII, 318 p. : online resource.
Series Springer Texts in Statistics 1431-875X
ISBN 9781475741032
Summary Note This is a companion volume to Plane Answers to Complex Questions: The Theory 0/ Linear Models. It consists of six additional chapters written in the same spirit as the last six chapters of the earlier book. Brief introductions are given to topics related to linear model theory. No attempt is made to give a comprehensive treatment of the topics. Such an effort would be futile. Each chapter is on a topic so broad that an in depth discussion would require a book-Iength treatment. People need to impose structure on the world in order to understand it. There is a limit to the number of unrelated facts that anyone can remem­ ber. If ideas can be put within a broad, sophisticatedly simple structure, not only are they easier to remember but often new insights become avail­ able. In fact, sophisticatedly simple models of the world may be the only ones that work. I have often heard Arnold Zellner say that, to the best of his knowledge, this is true in econometrics. The process of modeling is fundamental to understanding the world.:
Contents note I Multivariate Linear Models -- II Discrimination and Allocation -- III Principal Components and Factor Analysis -- IV Frequency Analysis of Time Series -- V Time Domain Analysis -- VI Linear Models for Spatial Data: Kriging -- References -- Author Index.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/978-1-4757-4103-2
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