Wiley series in probability and statistics - 9781118644614 - theory of ridge regression estimation with applications di saleh, a. k. md. ehsanes; arashi, mohammad; kibria, b. m. golam (25 risultati)
Theory of Ridge Regression Estimation with Applications (Wiley Series in Probability and Statistics)
Lingua: Inglese
Editore: Wiley, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Lingua: Inglese
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Theory of Ridge Regression Estimators With Applications
Saleh, A. K. Ehsanes, M.D.; Arashi, Mohammad; Kibria, B. M. Golam
Lingua: Inglese
Editore: Wiley, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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THEORY OF RIDGE REGRESSION ESTIMATION WITH APPLICATIONS
Saleh, A. K. Md. Ehsanes; Arashi, Mohammad; Kibria, B. M. Golam
Lingua: Inglese
Editore: John Wiley & Sons, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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THEORY OF RIDGE REGRESSION ESTIMATION WITH APPLICATIONS
Saleh, A. K. Md. Ehsanes; Arashi, Mohammad; Kibria, B. M. Golam
Lingua: Inglese
Editore: John Wiley & Sons, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Lingua: Inglese
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Theory of Ridge Regression Estimators With Applications
Saleh, A. K. Ehsanes, M.D.; Arashi, Mohammad; Kibria, B. M. Golam
Lingua: Inglese
Editore: Wiley, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Theory of Ridge Regression Estimation with Applications (Wiley Series in Probability and Statistics)
Saleh, A. K. Md. Ehsanes; Arashi, Mohammad; Kibria, B. M. Golam
Lingua: Inglese
Editore: Wiley, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Theory of Ridge Regression Estimators With Applications
Saleh, A. K. Ehsanes, M.D.; Arashi, Mohammad; Kibria, B. M. Golam
Lingua: Inglese
Editore: Wiley, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
- Rilegato
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Theory of Ridge Regression Estimation with Applications
Mohammad Arashi, A. K. Md. Ehsanes Saleh, B. M. Golam Kibria
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Hardback. Condizione: New. 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 presentedContains solutions and alternate methods for prediction accuracy and selecting model proceduresPresents the first book to focus on ridge regression and unifies past research with current methodologyUses 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.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Hardcover. Condizione: new. Hardcover. 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 ce…nter 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 presentedContains solutions and alternate methods for prediction accuracy and selecting model proceduresPresents the first book to focus on ridge regression and unifies past research with current methodologyUses 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Theory of Ridge Regression Estimation with Applications (Wiley Series in Probability and Statistics)
Saleh, A. K. Md. Ehsanes; Arashi, Mohammad; Kibria, B. M. Golam
Lingua: Inglese
Editore: Wiley, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Condizione: New. In English.
Lingua: Inglese
Editore: John Wiley & Sons Inc, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Theory of Ridge Regression Estimators With Applications
Saleh, A. K. Ehsanes, M.D.; Arashi, Mohammad; Kibria, B. M. Golam
Lingua: Inglese
Editore: Wiley, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
- Rilegato
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Lingua: Inglese
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Condizione: New. Series: Wiley Series in Probability and Statistics. Num Pages: 224 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 188 x 39. . . 2019. Hardcover. . . . .
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2019
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Hardcover. Condizione: new. Hardcover. 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 ce…nter 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 presentedContains solutions and alternate methods for prediction accuracy and selecting model proceduresPresents the first book to focus on ridge regression and unifies past research with current methodologyUses 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: WILEY, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Condizione: New. Über den AutorA. 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, i.
Lingua: Inglese
Editore: John Wiley & Sons Inc, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Hardcover. Condizione: Brand New. 342 pages. 9.00x6.00x0.50 inches. In Stock.
Lingua: Inglese
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Condizione: New. Series: Wiley Series in Probability and Statistics. Num Pages: 224 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 188 x 39. . . 2019. Hardcover. . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: John Wiley & Sons Feb 2019, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Buch. Condizione: Neu. Neuware - 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 o…f 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.
Theory of Ridge Regression Estimation with Applications
Mohammad Arashi, A. K. Md. Ehsanes Saleh, B. M. Golam Kibria
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Hardback. Condizione: New. 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 presentedContains solutions and alternate methods for prediction accuracy and selecting model proceduresPresents the first book to focus on ridge regression and unifies past research with current methodologyUses 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.
THEORY OF RIDGE REGRESSION ESTIMATION WITH APPLICATIONS
Saleh, A. K. Md. Ehsanes; Arashi, Mohammad; Kibria, B. M. Golam
Lingua: Inglese
Editore: John Wiley & Sons, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
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Hardcover. Condizione: new. Hardcover. 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 ce…nter 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 presentedContains solutions and alternate methods for prediction accuracy and selecting model proceduresPresents the first book to focus on ridge regression and unifies past research with current methodologyUses 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: John Wiley & Sons Inc, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
- Rilegato
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Hardcover. Condizione: Brand New. 342 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: John Wiley & Sons Inc, 2019
Serie: Libro 1 di 358 - Wiley Series in Probability and Statistics
- Rilegato
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