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Linear Regression Analysis

by Yan Xin

Theory and practice in linear regression

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Hardcover New English

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AlbakiReads Editorial

Theory and practice in linear regression

Yan Xin’s text pairs the foundations of linear regression analysis with methods for diagnosing models and statistical computing techniques. Its applied emphasis is made concrete through examples using the Statistical Application System (SAS), connecting the theoretical material to data modeling. The book is positioned for both study in statistics and biostatistics and substantial use of regression methods in other fields, with a focus on graduate-level learning and research.

Good fit for readers who enjoy

  • Graduate students in statistics or biostatistics seeking a treatment of linear regression theory and diagnosis.
  • Graduate students and researchers in other fields who use linear regression substantially.
  • Readers interested in SAS examples alongside statistical methods.

Themes

Linear regression theoryModel diagnosisStatistical computingData modeling with SAS

Based on publisher information and book metadata.

Book overview

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.
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