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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Statistical Inference for Models with Multivariate t-Distributed Errors
Language: English
Published by John Wiley and Sons Inc, US, 2014
ISBN 10: 1118854055 ISBN 13: 9781118854051
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observationsEmphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematicsContains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topicAddresses linear regression models with non-normal errors with practical real-world examplesUniquely addresses regression models in Student's t-distributed errors and t-modelsSupplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher.
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Statistical Inference for Models With Multivariate t-distributed Errors
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Theory of Ridge Regression Estimators With Applications
Book 1 of 358: Wiley Series in Probability and StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Theory of Ridge Regression Estimators With Applications
Book 1 of 358: Wiley Series in Probability and StatisticsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 100.06
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Theory of Ridge Regression Estimation with Applications
Book 1 of 358: Wiley Series in Probability and StatisticsLanguage: English
Published by John Wiley and Sons Inc, US, 2019
ISBN 10: 1118644611 ISBN 13: 9781118644614
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: 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.
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Rank-based Methods for Shrinkage and Selection : With Application to Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 101.45
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Rank-based Methods for Shrinkage and Selection : With Application to Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 104.59
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Hardcover. Condition: New.
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Condition: New. pp. 288.
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Weekly Asahi March 2 1950 Cover artist Ryuichi Yokoyama Prime Minister Yoshida
Published by The Asahi Shimbun Company, 1952
Condition: Fine. Number of books: 1 book.
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Condition: New. Brand new! Please provide a physical shipping address.
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Condition: New. pp. 288.
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Statistical Inference for Models with Multivariate tDistributed Errors
Language: English
Published by John Wiley & Sons Inc, 2014
ISBN 10: 1118854055 ISBN 13: 9781118854051
Hardcover. Condition: Brand New. 248 pages. 9.75x6.50x1.00 inches. In Stock.
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Condition: 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.
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Statistical Inference for Models With Multivariate t-distributed Errors
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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RankBased Methods for Shrinkage and Selection: Wi th Application to Machine Learning
Language: English
Published by John Wiley & Sons Inc, 2022
ISBN 10: 1119625394 ISBN 13: 9781119625391
Hardcover. Condition: Brand New. 482 pages. 9.17x6.30x1.26 inches. In Stock.
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Statistical Inference for Models with Multivariate t-Distributed Errors
Language: English
Published by John Wiley and Sons Inc, US, 2014
ISBN 10: 1118854055 ISBN 13: 9781118854051
Hardback. Condition: New. This book summarizes the results of various models under normal theory with a brief review of the literature. Statistical Inference for Models with Multivariate t-Distributed Errors: Includes a wide array of applications for the analysis of multivariate observationsEmphasizes the development of linear statistical models with applications to engineering, the physical sciences, and mathematicsContains an up-to-date bibliography featuring the latest trends and advances in the field to provide a collective source for research on the topicAddresses linear regression models with non-normal errors with practical real-world examplesUniquely addresses regression models in Student's t-distributed errors and t-modelsSupplemented with an Instructor's Solutions Manual, which is available via written request by the Publisher.
-
Theory of Ridge Regression Estimation with Applications
Book 1 of 358: Wiley Series in Probability and StatisticsLanguage: English
Published by John Wiley and Sons Inc, US, 2019
ISBN 10: 1118644611 ISBN 13: 9781118644614
Hardback. Condition: 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.
-
RankBased Methods for Shrinkage and Selection: Wi th Application to Machine Learning
Language: English
Published by John Wiley & Sons Inc, 2022
ISBN 10: 1119625394 ISBN 13: 9781119625391
Hardcover. Condition: Brand New. 482 pages. 9.17x6.30x1.26 inches. In Stock. This item is printed on demand.
