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Introduction to linear regression analysis / Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining.

By: Contributor(s): Material type: TextTextSeries: Wiley series in probability and statisticsPublication details: Hoboken, New Jersey : Wiley, c2021Edition: Sixth editionDescription: xv, 673pages 23cmISBN:
  • 9781119578727
Subject(s): Additional physical formats: Online version:: Introduction to linear regression analysisDDC classification:
  • 519.5/36 23
LOC classification:
  • QA278.2 .M66 2021
Contents:
Introduction -- Simple linear regression --Multiple linear regression -- Model adequacy checking -- Transformations and weighting to correct model inadequacies -- Diagnostics for leverage and influence -- Polynomial regression models -- Indicator variables -- Multicollinearity -- Variable selection and model building -- Validation of regression models -- Introduction to nonlinear regression -- Generalized linear models -- Regression analysis of time series data --- Other topics in the use of regression analysis
Summary: "In statistics, linear regression is a linear approach to modelling the relationship between a scalar response and one or more explanatory variables. A linear regression model attempts to explain the relationship between two or more variables using a straight line."--
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - TRC General Stacks Non-fiction QA278.2 .M33 2021 (Browse shelf(Opens below)) C1 Available Z012295
Books Books Zetech Library - TRC General Stacks Non-fiction QA278.2 .M33 2021 (Browse shelf(Opens below)) C2 Available Z012294

Includes bibliographical references and index.

Introduction -- Simple linear regression --Multiple linear regression -- Model adequacy checking -- Transformations and weighting to correct model inadequacies -- Diagnostics for leverage and influence -- Polynomial regression models -- Indicator variables -- Multicollinearity -- Variable selection and model building -- Validation of regression models -- Introduction to nonlinear regression -- Generalized linear models -- Regression analysis of time series data --- Other topics in the use of regression analysis

"In statistics, linear regression is a linear approach to modelling the relationship between a scalar response and one or more explanatory variables. A linear regression model attempts to explain the relationship between two or more variables using a straight line."--

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