The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field.
This book will teach you the essential elements of building and understanding reg.
Fink, Bruce
A stunning young analyst-in-training keels over dead in front of three hundred guests at her institute's annual conference.
Steve Bruce
Steve Bruce
Mary Grant Bruce
Bruce Wexler
In this new collection of route 66 lost & found, journey from chicago to la through the history of "america's main street," visiting 200+ roadside attractions along the way.
G. Bruce Doern
In an increasingly knowledge-based economy, canadian universities are important spaces for the development of research and innovation in many areas.
Bruce Grubbs
W. Bruce Cameron
Bruce Handy
Bruce Handy
Bruce Kuklick
Bruce Grubbs
Bruce Handy
Bruce R. Hopkins
Bruce Connolly
E. Bruce Geelhoed
Bruce Ellemo
Camilla Bruce
Bruce Berglund
Bruce Shutts
Bruce Dvorak
David Bruce Smith
Haley Bruce
Bruce Berglund
Bruce Berger
Buckner, Bruce, Jr.
Bruce Downes
Bruce Hamilton
Bruce Fergusson
Marie Bruce
Bruce Berglund
Bruce Yardley
Logan, Bruce E.
Bruce S. Liese
Bruce Wexler
Bruce Buckner
Bruce G. Epperly
Bruce D. Schneider
Bruce R. Ellig
Logan, Bruce E.
Bruce Walker
Bruce Young
Bruce Fudge
Bruce Piasecki
Bruce Berglund
Bruce Fleming
Bruce Adams
Bruce Moore
Bruce Waymire
Bruce Clark
Bruce Jones
Bruce Walker
Bruce J. Gevirtzman
Bruce Coyle
Bruce Berglund
Camilla Bruce
Bruce Gilley
Bruce McKay
Kimberly Bruce
John C. Gower
Most multivariate analysis books are limited to a basic treatment of canonical variate analysis (cva), this book provides an extensive and comprehensive treatment of cva methods along with practical examples, many of which are drawn from the authors own e.
Jean-Jacques Droesbeke
Josep Antoni Martín-Fernández
Wendy L. Martinez
Praise for the second edition: the authors present an intuitive and easy-to-read book.
Wendy L. Martinez
Praise for the second edition: the authors present an intuitive and easy-to-read book.
Graham J. G. Upton
Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying r codethis book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicate.
Daniel J. Denis
A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral scienceswritten as a general and accessible introduction, applied univariate, bivariate, and multivariate st.
Ella Bingham
In honour of professor erkki oja, one of the pioneers of independent component analysis (ica), this book reviews key advances in the theory and application of ica, as well as its influence on signal processing, pattern recognition, machine learning, and d.
Wolfgang Karl Härdle
Joe Zhu
Thomas D. Wickens
Jones, Richard H.
Zoltán Sasvári
Multivariate characteristic functions are the fourier transforms of distributions of random vectors.
Mohsen Pourahmadi
Focusing on methodology and computation more than on theorems and proofs, this book provides computationally feasible and statistically efficient methods for estimating sparse and large covariance matrices of high-dimensional data.
Brigitte Le Roux
Geert Molenberghs
The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book.
George A. Marcoulides
Featuring contributions from some of the leading researchers in the field of sem, most chapters are written by the author(s) who originally proposed the technique and/or contributed substantially to its development.
William Berry
Although nearly all major social science departments offer graduate students training in quantitative methods, the typical sequencing of topics generally delays training in regression analysis and other multivariate techniques until a student's second year.
Johan J. Kok