|
| Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt. |
Linear Models for Multivariate, Time Series, and Spatial Data
ISBN-13:
9781475741032
Veröffentl:
2013
Seiten:
318
Autor:
Ronald Christensen
Serie:
Springer Texts in Statistics
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:
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.
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.
Kunden Rezensionen
Mehr zum Thema
Folgen Sie uns auf:
