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Linear Models for Multivariate, Time Series, and Spatial Data
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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
Links to Related Works
Subject References:
Applications of Mathematics
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Applied mathematics
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Engineering mathematics
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Mathematics
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Probabilities
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Probability theory and stochastic processes
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Authors:
Christensen, Ronald
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Corporate Authors:
SpringerLink (Online service)
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Series:
Springer Texts in Statistics
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Classification:
519.2
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