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 a...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley Blackwell
2019
|
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 1118644476 9781118644478 |
Internformat
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| index_date | 2024-07-03T19:10:30Z |
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| spelling | Saleh, A. K. Md. Ehsanes 1932- Verfasser (DE-588)12474639X aut Theory of ridge regression estimation with applications A.K. Md. Ehsanes Saleh, Mohammad Arashi, Golam Kibria Hoboken, NJ Wiley Blackwell 2019 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 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 Regression analysis Estimation theory Ridge regression (Statistics) MATHEMATICS ; Probability & Statistics ; General MATHEMATICS ; Applied Kibria, B. M. Golam (DE-588)103034678X aut Arashi, Mohammad 1981- Verfasser aut Erscheint auch als Druck-Ausgabe Theory of ridge regression estimators with applications Chichester, West Sussex : Wiley Blackwell, 2016 9781118644614 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118644478 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Saleh, A. K. Md. Ehsanes 1932- Kibria, B. M. Golam Arashi, Mohammad 1981- Theory of ridge regression estimation with applications |
| title | Theory of ridge regression estimation with applications |
| title_auth | Theory of ridge regression estimation with applications |
| title_exact_search | Theory of ridge regression estimation with applications |
| title_exact_search_txtP | Theory of ridge regression estimation with applications |
| title_full | Theory of ridge regression estimation with applications A.K. Md. Ehsanes Saleh, Mohammad Arashi, Golam Kibria |
| title_fullStr | Theory of ridge regression estimation with applications A.K. Md. Ehsanes Saleh, Mohammad Arashi, Golam Kibria |
| title_full_unstemmed | Theory of ridge regression estimation with applications A.K. Md. Ehsanes Saleh, Mohammad Arashi, Golam Kibria |
| title_short | Theory of ridge regression estimation with applications |
| title_sort | theory of ridge regression estimation with applications |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118644478 |
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