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Water for Life: Level 2 (+ CD) el lasso el lasso most of us prefer not to think

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Глория Лассо Gloria Lasso. Le Torrent el lasso el lasso most of us prefer not to think

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Paul McGee How Not To Worry. The Remarkable Truth of How a Small Change Can Help You Stress Less and Enjoy Life More el lasso el lasso most of us prefer not to think

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Mohammad Arashi Theory of Ridge Regression Estimation with Applications el lasso el lasso most of us prefer not to think

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A guide to the systematic analytical results for ridge, LASSO, prelimi...

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This is a fascinating and sumptuously illustrated overview of the work...

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Your visual, guided tour of OS X El Capitan With clear, step-by-step i...

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Too Good To Be True: The Very Best Of El Records 1985-1988 el lasso el lasso most of us prefer not to think

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Для информации:

A guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regression Estimation with Applications offers a comprehensive guide to the theory and methods of estimation. Ridge regression and LASSO are at the center of all penalty estimators in a range of standard models that are used in many applied statistical analyses. Written by noted experts in the field, the book contains a thorough introduction to penalty and shrinkage estimation and explores the role that ridge, LASSO, and logistic regression play in the computer intensive area of neural network and big data analysis. Designed to be accessible, the book presents detailed coverage of the basic terminology related to various models such as the location and simple linear models, normal and rank theory-based ridge, LASSO, preliminary test and Stein-type estimators.The authors also include problem sets to enhance learning. This book is a volume in the Wiley Series in Probability and Statistics series that provides essential and invaluable reading for all statisticians. This important resource: Offers theoretical coverage and computer-intensive applications of the procedures presented Contains solutions and alternate methods for prediction accuracy and selecting model procedures Presents the first book to focus on ridge regression and unifies past research with current methodology Uses R throughout the text and includes a companion website containing convenient data sets Written for graduate students, practitioners, and researchers in various fields of science, Theory of Ridge Regression Estimation with Applications is an authoritative guide to the theory and methodology of statistical estimation.