Predictive Analytics (Hardcover)

Idioma: inglés

Editorial: John Wiley & Sons Inc, New York, 2020

1118948890 / 9781118948897

Serie: Libro 315 de 358 - Wiley Series in Probability and Statistics

Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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Hardcover. Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive analytics and statistical learning This book covers a broad range of topics in parametric regression and classification including multiple regression, logistic regression (binary and multinomial), discriminant analysis, Bayesian classification, generalized linear models and Cox regression for survival data. The book also gives brief introductions to some modern computer-intensive methods such as classification and regression trees (CART), neural networks and support vector machines. The book is organized so that it can be used by both advanced undergraduate or masters students with applied interests and by doctoral students who also want to learn the underlying theory. This is done by devoting the main body of the text of each chapter with basic statistical methodology illustrated by real data examples. Derivations, proofs and extensions are relegated to the Technical Notes section of each chapter, Exercises are also divided into theoretical and applied. Answers to selected exercises are provided. A solution manual is available to instructors who adopt the text. Data sets of moderate to large sizes are used in examples and exercises. They come from a variety of disciplines including business (finance, marketing and sales), economics, education, engineering and sciences (biological, health, physical and social). All data sets are available at the books web site. Open source software R is used for all data analyses. R codes and outputs are provided for most examples. R codes are also available at the books web site. Predictive Analytics: Parametric Models for Regression and Classification Using R is ideal for a one-semester upper-level undergraduate and/or beginning level graduate course in regression for students in business, economics, finance, marketing, engineering, and computer science. It is also an excellent resource for practitioners in these fields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

N° de ref. del artículo 9781118948897

Título
Predictive Analytics (Hardcover)
Autor
Ajit C. Tamhane
Editorial
John Wiley & Sons Inc, New York
Año de publicación
2020
Estado
new
Encuadernación
Hardcover
Idioma
inglés
ISBN 10
1118948890
ISBN 13
9781118948897
Serie
Libro 315 de 358: Wiley Series in Probability and Statistics

Grand Eagle Retail

Bensenville, IL, Estados Unidos de America

Vendedor de 5 estrellas

Vendedor de AbeBooks desde 12 de octubre de 2005

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