Willkommen, schön sind Sie da!
Logo Ex Libris

Advanced Linear Modeling

  • Fester Einband
  • 420 Seiten
(0) Erste Bewertung abgeben
Bewertungen
(0)
(0)
(0)
(0)
(0)
Alle Bewertungen ansehen
This book introduces several topics related to linear model theory, including: multivariate linear models, discriminant analysis, ... Weiterlesen
CHF 130.00
Print on demand - Exemplar wird für Sie besorgt.
Bestellung & Lieferung in eine Filiale möglich

Beschreibung

This book introduces several topics related to linear model theory, including: multivariate linear models, discriminant analysis, principal components, factor analysis, time series in both the frequency and time domains, and spatial data analysis. This second edition adds new material on nonparametric regression, response surface maximization, and longitudinal models. The book provides a unified approach to these disparate subjects and serves as a self-contained companion volume to the author's "Plane Answers to Complex Questions: The Theory of Linear Models". Ronald Christensen is Professor of Statistics at the University of New Mexico. He is well known for his work on the theory and application of linear models having linear structure.

From the reviews of the second edition:

"The book by Christensen provides a good explanation of the theory of linear models, spatial data analysis, kriging, nonparametric regressions, response surface maximization, longitudinal models, discriminant analysis, principal components, factor analysis, frequency and time domain time series among others. This is an excellent book and I enjoyed reading every chapter. The author is known for clear presentation. Statistical software MINITAB, BMDP, and MSUSTAT are used in the data analysis of the book." (Ramalingam Shanmugam, Journal of Statistical Computation and Simulation, Vol. 75 (7), 2005)

"The book gives an introduction to a diverse collection of methodologies using the framework of linear models. Many examples are given, and all chapters are finished with a bunch of additional exercises. The contents are very well explained and really illuminating for people familiar with linear models. I consider this book to be a didactically excellent textbook for graduate students who want to get an overview on advanced linear statistical methods." (R. Fried, Metrika, September, 2003)

"The author aims at a unified approach for different themes, systematically exploiting 'three fundamental ideas from standard linear model theory: best linear prediction, projections, and Mahalanobis distances'. It is seen that this book gives a thorough coverage of a broad area, with emphasis on its mathematical aspects, which are clearly presented. It may be useful to those having already some acquaintance with the themes treated, and wishing to study them from another point of view." (Ricardo Maronna, Statistical Papers, Vol. 44 (4), 2003)

"Advanced Linear Modeling is a retitled second edition of Linear Models for Multivariate, Time Series, and Spatial Data (Christensen 1991). I find it enlightening and a pleasure to read. Christensen writes in an engaging, informal style that carries the reader along through some challenging material. His linear models framework offers many new insights into the topics that he covers. I expect that I will refer to the book repeatedly when I have occasion to study these topics further." (Daniel B. Hall, Journal of the American Statistical Association, March, 2003)

"This book is the second edition of Linear Models for Multivariate, Time Series and Spatial Data (1991) . The main change is the addition of Chapter 7 on nonparametric regression and Chapter 8 on response surface maximization. The emphasis in this work is on the linear model theory, which unifies three major fields in statistics: multivariate analysis, time series and spatial data. Most chapters end with a selection of exercises, which makes the book also interesting for teaching purposes." (N. D. C. Veraverbeke, Short Book Reviews, Vol. 22 (1), 2002)



Klappentext

This book introduces 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. The second edition adds new material on nonparametric regression, response surface maximization, and longitudinal models. The book provides a unified approach to these disparate subject and serves as a self-contained companion volume to the author's Plane Answers to Complex Questions: The Theory of Linear Models. Ronald Christensen is Professor of Statistics at the University of New Mexico. He is well known for his work on the theory and application of linear models having linear structure. He is the author of numerous technical articles and several books and he is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics. "Advanced Linear Modeling is unique in that a diverse collection of methodologies are all formulated and developed in the framework of linear models. Many topics that often seem obscure or esoteric to graduate students seem much more tangible when cast in the setting of linear models, e.g., Fourier transformations, Kalman filtering, and kriging. Professor Christensen's text effectively shows how a myriad of methodologies can be viewed and developed utilizing the same results that are used to create the foundations for regression and ANOVA modeling. The sections and chapters that have been added to Advanced Linear Modeling are all strong and will serve to enhance what is already an excellent text." (Joseph Cavanaugh, University of Missouri-Columbia) Also Available: Christensen, Ronald. Plane Answers to Complex Questions: The Theory of

Inhalt
Multivariate Linear Models * Discrimination and Allocation * Principal Components and Factor Analysis * Frequency Analysis of Time Series * Time Domain Analysis * Linear Models for Spatial Data: Kriging * Nonparametric Regression * Response Surface Maximization

Produktinformationen

Titel: Advanced Linear Modeling
Untertitel: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization
Autor:
EAN: 9780387952963
ISBN: 0387952969
Format: Fester Einband
Herausgeber: Springer New York
Genre: Mathematik
Anzahl Seiten: 420
Gewicht: 793g
Größe: H241mm x B160mm x T27mm
Jahr: 2001
Auflage: 2nd ed. 2001

Weitere Produkte aus der Reihe "Springer Texts in Statistics"