Regression Analysis By Example Using R
Aus der Reihe
Wiley Series in Probability and Statistics
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Sprache:Englisch
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eBook Format:ePUB 3
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131,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
11.10.2023
Verlag
WileySeitenzahl
(Printausgabe)
Dateigröße
12295 KB
Auflage
6. Auflage
Sprache
Englisch
EAN
9781119830894
Regression Analysis By Example Using R
A STRAIGHTFORWARD AND CONCISE DISCUSSION OF THE ESSENTIALS OF REGRESSION ANALYSIS
In the newly revised sixth edition of Regression Analysis By Example Using R, distinguished statistician Dr Ali S. Hadi delivers an expanded and thoroughly updated discussion of exploratory data analysis using regression analysis in R. The book provides in-depth treatments of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.
The author clearly demonstrates effective methods of regression analysis with examples that contain the types of data irregularities commonly encountered in the real world. This newest edition also offers a brand-new, easy to read chapter on the freely available statistical software package R.
Readers will also find:
* Reorganized, expanded, and upgraded exercises at the end of each chapter with an emphasis on data analysis
* Updated data sets and examples throughout the book
* Complimentary access to a companion website that provides data sets in xlsx, csv, and txt format
Perfect for upper-level undergraduate or beginning graduate students in statistics, mathematics, biostatistics, and computer science programs, Regression Analysis By Example Using R will also benefit readers who need a reference for quick updates on regression methods and applications.
A STRAIGHTFORWARD AND CONCISE DISCUSSION OF THE ESSENTIALS OF REGRESSION ANALYSIS
In the newly revised sixth edition of Regression Analysis By Example Using R, distinguished statistician Dr Ali S. Hadi delivers an expanded and thoroughly updated discussion of exploratory data analysis using regression analysis in R. The book provides in-depth treatments of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.
The author clearly demonstrates effective methods of regression analysis with examples that contain the types of data irregularities commonly encountered in the real world. This newest edition also offers a brand-new, easy to read chapter on the freely available statistical software package R.
Readers will also find:
* Reorganized, expanded, and upgraded exercises at the end of each chapter with an emphasis on data analysis
* Updated data sets and examples throughout the book
* Complimentary access to a companion website that provides data sets in xlsx, csv, and txt format
Perfect for upper-level undergraduate or beginning graduate students in statistics, mathematics, biostatistics, and computer science programs, Regression Analysis By Example Using R will also benefit readers who need a reference for quick updates on regression methods and applications.
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