<p>This is the second edition of Linear Models for Multivariate, Time Series and Spatial Data. It has a new title to indicate that it contains much new material. The primary changes are the addition of two new chapters: one on nonparametric regression and one on response surface maximization. As bef
Linear Models for Multivariate, Time Series, and Spatial Data
โ Scribed by Ronald Christensen (auth.)
- Publisher
- Springer New York
- Year
- 1991
- Tongue
- English
- Leaves
- 329
- Series
- Springer Texts in Statistics
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages i-xii
Multivariate Linear Models....Pages 1-68
Discrimination and Allocation....Pages 69-106
Principal Components and Factor Analysis....Pages 107-146
Frequency Analysis of Time Series....Pages 147-193
Time Domain Analysis....Pages 194-261
Linear Models for Spatial Data: Kriging....Pages 262-299
Back Matter....Pages 300-318
โฆ Subjects
Statistics, general
๐ SIMILAR VOLUMES
Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests. In a
Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests.
''This book covers a wide range of statistical models, including hierarchical, hierarchical generalized linear, linear mixed, dynamic linear, smoothing, spatial, and longitudinal. It presents a framework for expressing these richly parameterized models together as well as tools for exploring and int
<p>This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data. With a focus on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and doubly-inflated da