Applied linear regression / Sanford Weisberg, School of Statistics, University of Minnesota, Minneapolis, MN.

By:

Weisberg, Sanford, 1947-

Material type: Text

TextSeries: Wiley series in probability and statisticsPublisher: Hoboken, NJ : Wiley, [2014]Copyright date: Ã2014Edition: Fourth editionDescription: xvii, 340 pages : illustrations ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781118386088 (hardback)
1118386086 (hardback)

Subject(s):

Additional physical formats: Online version:: Applied linear regressionDDC classification:

519.536

LOC classification:

QA 278.2 W426a 2014

Other classification:

MAT029030 | MAT029000 | MAT003000

Online resources:

Cover image

Summary: "Providing a coherent set of basic methodology for applied linear regression without being encyclopedic, the fourth edition of Applied Linear Regression is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this updated edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them"-- Provided by publisher.

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Holdings
Item type	Current library	Home library	Collection	Shelving location	Call number	Vol info	Copy number	Status	Barcode
Libro	Biblioteca Juan Bosch	Biblioteca Juan Bosch	Humanidades	Humanidades (4to. Piso)	QA 278.2 W426a 2014 (Browse shelf(Opens below))	1	1	Available	00000113500

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Previous	QA278 .H349 2005 The essence of multivariate thinking : basic themes and methods /	QA 278 M961 1998 Multivariate data analysis /	QA 278.2 S443l 1977 Linear regression analysis /	QA 278.2 W426a 2014 Applied linear regression /	QA 279.4 P915i 1995 Introduction to statistical decision theory /	QA 279.5 K84b 2011 Bayesian artificial intelligence /	QA 279.5 P151a 2021 Aprendizaje profundo /	Next

"Providing a coherent set of basic methodology for applied linear regression without being encyclopedic, the fourth edition of Applied Linear Regression is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this updated edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them"-- Provided by publisher.

Includes bibliographical references (pages 317-328) and index.

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