Linear Models for Multivariate, Time Series, and Spatial Data (1991) (Springer Texts in Statistics)
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- Synopsis
- This is a self-contained companion volume to the authors book "Plane Answers to Complex Questions: The Theory of Linear Models". It provides introductions to several topics related to linear model theory: multivariate linear models, discriminant analysis, principal components, factor analysis, time series in both the frequency and time domains, and spatial data analysis (geostatistics). The purpose of this volume is to use the three fundamental ideas of best linear prediction, projections, and Mahalanobis' distance to exploit their properties in examining multivariate, time series and spatial data. Ronald Christensen is Professor of Statistics at the University of New Mexico, and is recognised internationally as an expert in the theory and application of linear models.
- Copyright:
- 1991
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781475741032
- Related ISBNs:
- 9780387974132
- Publisher:
- Springer New York
- Date of Addition:
- 01/26/21
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.