Suchen und Finden

Titel

Autor

Inhaltsverzeichnis

Nur ebooks mit Firmenlizenz anzeigen:

 

Theory of Ridge Regression Estimation with Applications

Theory of Ridge Regression Estimation with Applications

A. K. Md. Ehsanes Saleh, Mohammad Arashi, B. M. Golam Kibria

 

Verlag Wiley, 2019

ISBN 9781118644522 , 384 Seiten

Format PDF

Kopierschutz DRM

Geräte

111,99 EUR

Für Firmen: Nutzung über Internet und Intranet (ab 2 Exemplaren) freigegeben

Derzeit können über den Shop maximal 500 Exemplare bestellt werden. Benötigen Sie mehr Exemplare, nehmen Sie bitte Kontakt mit uns auf.

Mehr zum Inhalt

Theory of Ridge Regression Estimation with Applications


 

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.


A. K. Md. EHSANES SALEH, PhD, is a Professor Emeritus and Distinguished Research Professor in the school of Mathematics and Statistics, Carleton University, Ottawa, Canada. MOHAMMAD ARASHI, PhD, is an Associate Professor at Shahrood University of Technology, Iran and Extraordinary Professor and C2 rated researcher at University of Pretoria, Pretoria, South Africa. B. M. GOLAM KIBRIA, PhD, is a Professor in the Department of Mathematics and Statistics at Florida International University, Miami, FL.