Linear Regression

Publisher : Springer Science & Business Media

ISBN-13 : 364255864X

Page : 398 pages

Rating : 4.5/5 from 64X voters

The book covers the basic theory of linear regression models and presents a comprehensive survey of different estimation techniques as alternatives and complements to least squares estimation. Proofs are given for the most relevant results, and the presented methods are illustrated with the help of numerical examples and graphics. Special emphasis is placed on practicability and possible applications. The book is rounded off by an introduction to the basics of decision theory and an appendix on matrix algebra.

More Books:

Linear Regression
Language: en
Pages: 398
Authors: Jürgen Groß
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

The book covers the basic theory of linear regression models and presents a comprehensive survey of different estimation techniques as alternatives and compleme
Linear Regression
Language: en
Pages: 494
Authors: David J. Olive
Categories: Mathematics
Type: BOOK - Published: 2017-04-18 - Publisher: Springer

This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outli
Linear Regression Analysis with JMP and R
Language: en
Pages: 468
Authors: Rachel T. Silvestrini
Categories: Education
Type: BOOK - Published: 2018-04-26 - Publisher: Quality Press

This comprehensive but low-cost textbook is intended for use in an undergraduate level regression course, as well as for use by practitioners. The authors have
Spline Regression Models
Language: en
Pages: 86
Authors: Lawrence C. Marsh
Categories: Mathematics
Type: BOOK - Published: 2001-09-14 - Publisher: SAGE

Spline Regression Models shows how to use dummy variables to formulate and estimate spline regression models both in situations where the number and location of
Applied Logistic Regression
Language: en
Pages: 397
Authors: David W. Hosmer, Jr.
Categories: Mathematics
Type: BOOK - Published: 2004-10-28 - Publisher: John Wiley & Sons

From the reviews of the First Edition. "An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very lit
Regression Models for Categorical and Limited Dependent Variables
Language: en
Pages: 334
Authors: J. Scott Long
Categories: Mathematics
Type: BOOK - Published: 1997-01-09 - Publisher: SAGE

The linear regression model is the most commonly used statistical method in the social sciences. This book considers regression models that are appropriate when
Analysis of Variance, Design, and Regression
Language: en
Pages: 608
Authors: Ronald Christensen
Categories: Mathematics
Type: BOOK - Published: 1996-06-01 - Publisher: CRC Press

This text presents a comprehensive treatment of basic statistical methods and their applications. It focuses on the analysis of variance and regression, but als
Statistics with Mathematica
Language: en
Pages: 654
Authors: Martha L. Abell
Categories: Mathematics
Type: BOOK - Published: 1999 - Publisher: Academic Press

Covers the use of Mathematica for applications ranging from descriptive statistics, through multiple regression and nonparametric methods; uses virtually all of
Multiple Regression with Discrete Dependent Variables
Language: en
Pages: 224
Authors: John G. Orme
Categories: Social Science
Type: BOOK - Published: 2009-03-25 - Publisher: Oxford University Press

Most social work researchers are familiar with linear regression techniques, which are fairly straightforward to conduct, interpret, and present. However, linea
Multivariate Nonparametric Regression and Visualization
Language: en
Pages: 392
Authors: Jussi Sakari Klemelä
Categories: Mathematics
Type: BOOK - Published: 2014-05-05 - Publisher: John Wiley & Sons

A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametr