Name: Partial Least Squares Regression: And Related Dimension Reduction Methods (en Inglés)
SKU: 56108728
Price: 89.24 USD
Availability: InStock
Author: Cook R. Dennis,Forzani Liliana
ISBN: 9781032773186

portada Partial Least Squares Regression: And Related Dimension Reduction Methods (en Inglés)

Partial Least Squares Regression: And Related Dimension Reduction Methods (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Cook R. Dennis,Forzani Liliana

Idioma

Inglés

N° páginas

456

Encuadernación

Tapa Dura

ISBN13

9781032773186

N° edición

Partial Least Squares Regression: And Related Dimension Reduction Methods (en Inglés)

Cook R. Dennis,Forzani Liliana (Autor) · Crc Press · Tapa Dura

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Reseña del libro "Partial Least Squares Regression: And Related Dimension Reduction Methods (en Inglés)"

Partial least squares (PLS) regression is, at its historical core, a black-box algorithmic method for dimension reduction and prediction based on an underlying linear relationship between a possibly vector-valued response and a number of predictors. Through envelopes, much more has been learned about PLS regression, resulting in a mass of information that allows an envelope bridge that takes PLS regression from a black-box algorithm to a core statistical paradigm based on objective function optimization and, more generally, connects the applied sciences and statistics in the context of PLS. This book focuses on developing this bridge. It also covers uses of PLS outside of linear regression, including discriminant analysis, non-linear regression, generalized linear models and dimension reduction generally.Key Features: Showcases the first serviceable method for studying high-dimensional regressions. Provides necessary background on PLS and its origin. R and Python programs are available for nearly all methods discussed in the book.