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Applications In Statistical Computing


Applications In Statistical Computing
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Applications In Statistical Computing


Applications In Statistical Computing
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Author : Nadja Bauer
language : en
Publisher:
Release Date : 2019

Applications In Statistical Computing written by Nadja Bauer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic books categories.


This volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday.



Application Of Statistical Computing To Statistical Learning


Application Of Statistical Computing To Statistical Learning
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Author : Jude Chukwura Obi
language : en
Publisher:
Release Date : 2016

Application Of Statistical Computing To Statistical Learning written by Jude Chukwura Obi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.




Applications In Reliability And Statistical Computing


Applications In Reliability And Statistical Computing
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Author : Hoang Pham
language : en
Publisher: Springer Nature
Release Date : 2023-02-15

Applications In Reliability And Statistical Computing written by Hoang Pham and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-15 with Technology & Engineering categories.


This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.



Application Of Statistical Computing To Statistical Learning


Application Of Statistical Computing To Statistical Learning
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Author : Jude Chukwura Obi
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2024-10-28

Application Of Statistical Computing To Statistical Learning written by Jude Chukwura Obi and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-28 with Mathematics categories.


The study here is about supervised learning, an aspect of statistical learning. We identified prediction as the mainstay of supervised learning, and further noted that when the outcome of prediction is a categorical variable, classification obtains, otherwise what we have is regression, meaning that the prediction outcome is a continuous variable.A distinguishing aspect of this work is our ability to show both mathematically with a proof, and practically with some real-world datasets, that regression tools can be used as veritable tools for classification.



Siam Journal On Scientific And Statistical Computing


Siam Journal On Scientific And Statistical Computing
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Author : Society for Industrial and Applied Mathematics
language : en
Publisher:
Release Date : 1986

Siam Journal On Scientific And Statistical Computing written by Society for Industrial and Applied Mathematics and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Mathematical analysis categories.




Reliability And Statistical Computing


Reliability And Statistical Computing
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Author :
language : en
Publisher:
Release Date : 2020

Reliability And Statistical Computing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computer systems categories.


This book presents the latest developments in both qualitative and quantitative computational methods for reliability and statistics, as well as their applications. Consisting of contributions from active researchers and experienced practitioners in the field, it fills the gap between theory and practice and explores new research challenges in reliability and statistical computing. The book consists of 18 chapters. It covers (1) modeling in and methods for reliability computing, with chapters dedicated to predicted reliability modeling, optimal maintenance models, and mechanical reliability and safety analysis; (2) statistical computing methods, including machine learning techniques and deep learning approaches for sentiment analysis and recommendation systems; and (3) applications and case studies, such as modeling innovation paths of European firms, aircraft components, bus safety analysis, performance prediction in textile finishing processes, and movie recommendation systems. Given its scope, the book will appeal to postgraduates, researchers, professors, scientists, and practitioners in a range of fields, including reliability engineering and management, maintenance engineering, quality management, statistics, computer science and engineering, mechanical engineering, business analytics, and data science.



Handbook Of Computational Statistics


Handbook Of Computational Statistics
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Author : James E. Gentle
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-06

Handbook Of Computational Statistics written by James E. Gentle and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-06 with Computers categories.


The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.



Advances In Statistical Analysis And Statistical Computing


Advances In Statistical Analysis And Statistical Computing
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Author : Roberto S. Mariano
language : en
Publisher: Jai Press
Release Date : 1989

Advances In Statistical Analysis And Statistical Computing written by Roberto S. Mariano and has been published by Jai Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Mathematics categories.




Advances In Statistical Analysis And Statistical Computing


Advances In Statistical Analysis And Statistical Computing
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Author : Roberto S. Mariano
language : en
Publisher: JAI Press(NY)
Release Date : 1989-07

Advances In Statistical Analysis And Statistical Computing written by Roberto S. Mariano and has been published by JAI Press(NY) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-07 with Mathematics categories.




Statistical Computing


Statistical Computing
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Author : William J. Kennedy
language : en
Publisher: Routledge
Release Date : 2021-06-23

Statistical Computing written by William J. Kennedy and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-23 with Computers categories.


In this book the authors have assembled the "best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing." ---Mathematics of Computation ." The text is highly readable and well illustrated with examples. The reader who intends to take a hand in designing his own regression and multivariate packages will find a storehouse of information and a valuable resource in the field of statistical computing.