Introduction to Linear Regression Analysis Introduction to Linear Regression Analysis
Wiley Series in Probability and Statistics

Introduction to Linear Regression Analysis

    • ¥18,800
    • ¥18,800

Publisher Description

INTRODUCTION TO LINEAR REGRESSION ANALYSIS
A comprehensive and current introduction to the fundamentals of regression analysis

Introduction to Linear Regression Analysis, 6th Edition is the most comprehensive, fulsome, and current examination of the foundations of linear regression analysis. Fully updated in this new sixth edition, the distinguished authors have included new material on generalized regression techniques and new examples to help the reader understand retain the concepts taught in the book.

The new edition focuses on four key areas of improvement over the fifth edition:

Introduction to Linear Regression Analysis skillfully blends theory and application in both the conventional and less common uses of regression analysis in today’s cutting-edge scientific research. The text equips readers to understand the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences.

GENRE
Science & Nature
RELEASED
2021
February 24
LANGUAGE
EN
English
LENGTH
704
Pages
PUBLISHER
Wiley
SELLER
John Wiley & Sons, Inc.
SIZE
68.6
MB
Handbook of Regression Methods Handbook of Regression Methods
2018
Developing Econometrics Developing Econometrics
2011
Regression Analysis and its Application Regression Analysis and its Application
2018
Bayesian Regression Modeling with INLA Bayesian Regression Modeling with INLA
2018
Applied Econometrics Using the SAS System Applied Econometrics Using the SAS System
2011
Computer Intensive Statistical Methods Computer Intensive Statistical Methods
2017
Introduction to Time Series Analysis and Forecasting Introduction to Time Series Analysis and Forecasting
2024
Design of Experiments for Reliability Achievement Design of Experiments for Reliability Achievement
2022
Response Surface Methodology Response Surface Methodology
2016
Handbook of Regression Analysis With Applications in R Handbook of Regression Analysis With Applications in R
2020
Reinsurance Reinsurance
2017
Statistical Shape Analysis Statistical Shape Analysis
2016
Multivariate Density Estimation Multivariate Density Estimation
2015
Applied Longitudinal Analysis Applied Longitudinal Analysis
2012
Applied Linear Regression Applied Linear Regression
2013