Description

Book Synopsis
This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is extremely useful for future research in this area. The examples of regression analysis using the Statistical Application System (SAS) are also included. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject fields.

Table of Contents
Introduction; Simple Linear Regression; Multiple Linear Regression; Detection of Outliers and Influential Observations in Multiple Linear Regression; Model Selection in Linear Regression; Linear Regression for Models with Heterogeneous Error; Regression Model for Discrete Response Variables; Variable Transformation in Linear Regression.

Linear Regression Analysis: Theory And Computing

Product form

£99.00

Includes FREE delivery

RRP £110.00 – you save £11.00 (10%)

Order before 4pm tomorrow for delivery by Tue 30 Dec 2025.

A Hardback by Xin Yan, Xiaogang Su

Out of stock


    View other formats and editions of Linear Regression Analysis: Theory And Computing by Xin Yan

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 22/06/2009
    ISBN13: 9789812834102, 978-9812834102
    ISBN10: 9812834109
    Also in:
    Probability and statistics

    Description

    Book Synopsis
    This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is extremely useful for future research in this area. The examples of regression analysis using the Statistical Application System (SAS) are also included. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject fields.

    Table of Contents
    Introduction; Simple Linear Regression; Multiple Linear Regression; Detection of Outliers and Influential Observations in Multiple Linear Regression; Model Selection in Linear Regression; Linear Regression for Models with Heterogeneous Error; Regression Model for Discrete Response Variables; Variable Transformation in Linear Regression.

    Recently viewed products

    © 2025 Book Curl

      • American Express
      • Apple Pay
      • Diners Club
      • Discover
      • Google Pay
      • Maestro
      • Mastercard
      • PayPal
      • Shop Pay
      • Union Pay
      • Visa

      Login

      Forgot your password?

      Don't have an account yet?
      Create account