عنوان

Theory of ridge regression estimators with applications

(Number (ISBN

9781118644522

(Number (ISBN

9781118644508

(Number (ISBN

9781118644614

Number

E4115

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Theory of ridge regression estimators with applications

First Statement of Responsibility

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

Place of Publication, Distribution, etc.

Hoboken, NJ.

Name of Publisher, Distributor, etc.

John Wiley & Sons

Date of Publication, Distribution, etc.

2019.

Specific Material Designation and Extent of Item

xxxiv, 342 p.

Other Physical Details

; ill.

Series Title

(Wiley series in probability and statistics)

Text of Note

Includes bibliographical references and index

Text of Note

Introduction to ridge regression -- Location and simple linear models -- ANOVA model -- Seemingly unrelated simple linear models -- Multiple regression -- Ridge regression in theory and applications -- Partially linear regression models -- Logistic regression model -- Regression models with autoregressive errors -- Rank-based shrinkage estimation -- High dimensional ridge regression -- Applications : neural networks and big data.

0

Text of Note

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

Entry Element

Ridge regression (Statistics)

Edition

Class number

Entry Element

Saleh, A. K. Md. Ehsanes,

Arashi, M. (Mohammad), 1981- author

Kibria, B. M. G., (B. M. Golam), 1963- author

Country

ایران

Agency

University of Tehran. Library of College of Science

Date of Transaction

20200701174302.0

Cataloguing Rules (Descriptive Conventions))

rda

Date and Hour of Consultation and Access

UT_SCI_BL_DB_1004400_0001.pdf

e

BL

278840

a

Y