๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Linear Models for Multivariate, Time Series, and Spatial Data

โœ Scribed by Ronald Christensen (auth.)


Publisher
Springer New York
Year
1991
Tongue
English
Leaves
329
Series
Springer Texts in Statistics
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ 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

โœฆ Subjects


Statistics, general


๐Ÿ“œ SIMILAR VOLUMES


Advanced Linear Modeling: Multivariate,
โœ Ronald Christensen (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2001 ๐Ÿ› Springer-Verlag New York ๐ŸŒ English

<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

Multivariate Tests for Time Series Model
โœ Jeff B. Cromwell, Walter C. Labys, Michael J. Hannan, Michel Terraza ๐Ÿ“‚ Library ๐Ÿ“… 1994 ๐Ÿ› Sage Publications, Inc ๐ŸŒ English

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

Multivariate Tests for Time Series Model
โœ Jeff B. Cromwell, Michael J. Hannan, Walter C. Labys, Michel Terraza ๐Ÿ“‚ Library ๐Ÿ“… 1994 ๐Ÿ› Sage ๐ŸŒ English

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.

Richly Parameterized Linear Models: Addi
โœ James S Hodges ๐Ÿ“‚ Library ๐Ÿ“… 2013 ๐Ÿ› CRC Press ๐ŸŒ English

''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

Modern Statistical Methods for Spatial a
โœ Norou Diawara ๐Ÿ“‚ Library ๐Ÿ“… 2019 ๐Ÿ› Springer International Publishing ๐ŸŒ English

<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