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Applied linear statistical models : regression, analysis of variance, and experimental designs

By: John NeterContributor(s): Wasserman, WilliamMaterial type: Text

TextPublication details: Homewood, Ill. Richard D.Irwin 1985Edition: 2nd edDescription: xx, 1127 pages : illustrationsISBN: 9780256024470Subject(s): Regression analysisDDC classification: 519.53 | Summary: Focusing on applied statistical models, this text has an applied approach with an emphasis on understanding of concepts and exposition by means of examples. Theoretical foundations are provided so that applications of regression analysis can be carried out. There is expanded use of graphics, scatter plot metrics, and 3D rotating plots. Case studies feature throughout the text.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Books	Main Library Reference	Reference	519.53 NET (Browse shelf(Opens below))	Available		000805

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Previous	519.52 THO Adaptive Sampling	519.52076 HAD Solutions manual to accompany sampling of populations : methods and applications ; by Paul S. Levy and Stanley Lemeshow	519.52076 SON Student solutions manual for Scheaffer, Mendenhall, and Ott's elementary survey sampling	519.53 NET Applied linear statistical models : regression, analysis of variance, and experimental designs	519.535 AGR Categorical data analysis	519.535 HAR Applied multivariate statistical analysis	519.535 JOH Applied Multivariate Statistical Analysis	Next

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Focusing on applied statistical models, this text has an applied approach with an emphasis on understanding of concepts and exposition by means of examples. Theoretical foundations are provided so that applications of regression analysis can be carried out. There is expanded use of graphics, scatter plot metrics, and 3D rotating plots. Case studies feature throughout the text.

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