Arashi mohammad (19 Ergebnisse)

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THEORY OF RIDGE REGRESSION ESTIMATION WITH APPLICATIONS
Saleh, A. K. Md. Ehsanes; Arashi, Mohammad; Kibria, B. M. Golam
Sprache: Englisch
Verlag: John Wiley & Sons, 2019
Serie: Buch 1 von 358 - Wiley Series in Probability and Statistics
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Rank-Based Methods for Shrinkage and Selection: With Application to Machine Learning
Saleh, A. K. Md. Ehsanes; Arashi, Mohammad; Saleh, Resve A.; Norouzirad, Mina
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Statistical Inference for Models with Multivariate t-Distributed Errors
Tabatabaey S M M Saleh A. K. Md. Ehsanes Tabatabaey S.M.M Arashi Mohammad Saleh A.K. Md. Ehsanes
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Zustand: New. pp. 288.

Rank-Based Statistical Theory and Methods for Selection and Shrinkage Estimation 1st Edition
Saleh, A. K. Md. Ehsanes; Arashi, Mohammad; Saleh, Resve A.; Norouzirad, Mina
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Statistical Inference for Models with Multivariate tDistributed Errors
Saleh, A. K. Ehsanes, M.D./ Arashi, Mohammad/ Tabatabaey, S. M. M.
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Hardcover. Zustand: Brand New. 248 pages. 9.75x6.50x1.00 inches. In Stock.

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Theory of Ridge Regression Estimation with Applications
Arashi, Mohammad|Saleh, A. K. Md Ehsanes|Kibria, B. M. Golam
Sprache: Englisch
Verlag: WILEY, 2019
Serie: Buch 1 von 358 - Wiley Series in Probability and Statistics
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Zustand: 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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Taschenbuch. Zustand: Neu. Innovations in Multivariate Statistical Modeling | Navigating Theoretical and Multidisciplinary Domains | Andriëtte Bekker (u. a.) | Taschenbuch | xii | Englisch | 2023 | Springer | EAN 9783031139734 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen…[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Sprache: Englisch
Verlag: Wiley Feb 2019, 2019
Serie: Buch 1 von 358 - Wiley Series in Probability and Statistics
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Buch. Zustand: 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 of a…ll 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.

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with diverse interests and with varying multidisciplinary knowledge on differen…t topics within the multivariate domain. Due to multivariate algebra being of sustained interest and being a continuously developing field, its appeal breaches laterally across multiple disciplines to act as a catalyst for contemporary advances, with its core inferential genesis remaining in that of statistics.It is exactly this varied evolution caused by an influx in data production, diffusion, and understanding in scientific fields that has blurred many lines between disciplines. The cross-pollination between statistics and biology, engineering, medical science, computer science, and even art, has accelerated the vast amount of questions that statistical methodology has to answer and report on. These questions are often multivariate in nature, hoping to elucidate uncertainty on more than one aspect at the same time, and it is here where statistical thinking merges mathematical design with real life interpretation for understanding this uncertainty.Statistical advances benefit from these algebraic inventions and expansions in the multivariate paradigm. This contributed volume aims to usher novel research emanating from a multivariate statistical foundation into the spotlight, with particular significance in multidisciplinary settings. The overarching spirit of this volume is to highlight current trends, stimulate a focus on, and connect multidisciplinary dots from and within multivariate statistical analysis. Guided by these thoughts, a collection of research at the forefront of multivariate statistical thinking is presented here which has been authored by globally recognized subject matter experts.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Multivariate statistical analysis has undergone a rich and varied evolution during the latter half of the 20th century. Academics and practitioners have produced much literature with diverse interests and with varying multidisciplinary knowledge on d…ifferent topics within the multivariate domain. Due to multivariate algebra being of sustained interest and being a continuously developing field, its appeal breaches laterally across multiple disciplines to act as a catalyst for contemporary advances, with its core inferential genesis remaining in that of statistics.It is exactly this varied evolution caused by an influx in data production, diffusion, and understanding in scientific fields that has blurred many lines between disciplines. The cross-pollination between statistics and biology, engineering, medical science, computer science, and even art, has accelerated the vast amount of questions that statistical methodology has to answer and report on. These questions are often multivariate in nature, hoping to elucidate uncertainty on more than one aspect at the same time, and it is here where statistical thinking merges mathematical design with real life interpretation for understanding this uncertainty.Statistical advances benefit from these algebraic inventions and expansions in the multivariate paradigm. This contributed volume aims to usher novel research emanating from a multivariate statistical foundation into the spotlight, with particular significance in multidisciplinary settings. The overarching spirit of this volume is to highlight current trends, stimulate a focus on, and connect multidisciplinary dots from and within multivariate statistical analysis. Guided by these thoughts, a collection of research at the forefront of multivariate statistical thinking is presented here which has been authored by globally recognized subject matter experts.

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Paperback. Zustand: Brand New. 451 pages. 9.25x6.10x0.91 inches. In Stock.

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a tribute to Professor A. K. Md. Ehsanes Saleh, a distinguished figure in the field of statistics known for his pioneering work, including the development of the 'Preliminary Test Approach to Shrinkage Estimation'. Although Professor Saleh pass…ed away in September 2023, his legacy will live on through this special volume that explores penalized approaches for statistical analysis and recent developments in shrinkage methods. Covering regression modeling, robust estimation, machine learning, and high-dimensional data analytics, this volume bridges theoretical advancements with practical applications of these methodologies. In addition to introducing novel research and viewpoints, the book seeks to encourage dialogue among experienced practitioners in the field. This resource is specifically designed for researchers, statisticians, or data science professionals seeking ways to improve their comprehension and application of these methods.

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Hardcover. Zustand: Brand New. 686 pages. 9.25x6.10x9.25 inches. In Stock.