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Regression Analysis By Example Using R
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Regression Analysis By Example Using R in Franklin, TN
Current price: $149.75
Barnes and Noble
Regression Analysis By Example Using R in Franklin, TN
Current price: $149.75
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Regression Analysis By Example Using R
A STRAIGHTFORWARD AND CONCISE DISCUSSION OF THE ESSENTIALS OF REGRESSION ANALYSIS
In the newly revised sixth edition of
, 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,
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
, 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,
will also benefit readers who need a reference for quick updates on regression methods and applications.
Regression Analysis By Example Using R
A STRAIGHTFORWARD AND CONCISE DISCUSSION OF THE ESSENTIALS OF REGRESSION ANALYSIS
In the newly revised sixth edition of
, 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,
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
, 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,
will also benefit readers who need a reference for quick updates on regression methods and applications.
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