Visualizing Statistical Models And Concepts

by R.W. Farebrother, Michael Schyns

Overview

Examines classic algorithms, geometric diagrams, and mechanical principles for enhancing visualization of statistical estimation procedures and mathematical concepts in physics, engineering, and computer programming.

Product Details

ISBN-13:	9781135558055
Publisher:	CRC Press
Publication date:	06/14/2002
Sold by:	Barnes & Noble
Format:	eBook
Pages:	280
File size:	9 MB

About the Author

R. W. Farebrother and Michael Schyns

Table of Contents

Preface, CHAPTER 1 - Introduction, CHAPTER 2 - Abstract Geometrical and Mechanical Representations, CHAPTER 3 - Mechanical Models for Multidimensional Medians, CHAPTER 4 - Method of Least Squared Deviations, CHAPTER 5 - Method of Least Absolute Deviation, CHAPTER 6 - Minimax Absolute Deviation Method, CHAPTER 7 - Method of Least Median of Squared Deviations, CHAPTER 8 - Mechanical Models for Metric Graphs, CHAPTER 9 - Categorical Data Analysis, CHAPTER 10 - Method of Averages and Curve Fitting by Splines, CHAPTER 11 - Multivariate Generalisations of the Method of Least Squares, List of Figures, List of Tables, Name Index, Subject Index

Editorial Reviews

This graduate textbook presents geometric and mechanical models for statistical analysis. Farebrother (Victoria University of Manchester) examines the problem of determining the position of a multivariate location parameter and the problem of fitting a plane or curved surface to multivariate data when the goodness of fit criterion is variously defined by the sum of the squared deviations, the sum of the absolute deviation, the median absolute deviation, or the maximum absolute deviation. Annotation c. Book News, Inc., Portland, OR (booknews.com)