Data Analysis and Related Applications, Volume 1

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Release : 2022-08-17
Genre : Computers
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Book Rating : 501/5 ( reviews)

Data Analysis and Related Applications, Volume 1 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analysis and Related Applications, Volume 1 write by Konstantinos N. Zafeiris. This book was released on 2022-08-17. Data Analysis and Related Applications, Volume 1 available in PDF, EPUB and Kindle. The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.

Data Analysis and Applications 1

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Release : 2019-05-21
Genre : Mathematics
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Book Rating : 825/5 ( reviews)

Data Analysis and Applications 1 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analysis and Applications 1 write by Christos H. Skiadas. This book was released on 2019-05-21. Data Analysis and Applications 1 available in PDF, EPUB and Kindle. This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications. Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.

Data Analysis and Related Applications, Volume 1

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Author :
Release : 2022-11-01
Genre : Computers
Kind :
Book Rating : 715/5 ( reviews)

Data Analysis and Related Applications, Volume 1 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Analysis and Related Applications, Volume 1 write by Konstantinos N. Zafeiris. This book was released on 2022-11-01. Data Analysis and Related Applications, Volume 1 available in PDF, EPUB and Kindle. The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.

Handbook of Statistical Analysis and Data Mining Applications

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Release : 2017-11-09
Genre : Mathematics
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Book Rating : 458/5 ( reviews)

Handbook of Statistical Analysis and Data Mining Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Statistical Analysis and Data Mining Applications write by Ken Yale. This book was released on 2017-11-09. Handbook of Statistical Analysis and Data Mining Applications available in PDF, EPUB and Kindle. Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Correlated Data Analysis: Modeling, Analytics, and Applications

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Release : 2007-07-27
Genre : Mathematics
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Book Rating : 921/5 ( reviews)

Correlated Data Analysis: Modeling, Analytics, and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Correlated Data Analysis: Modeling, Analytics, and Applications write by Xue-Kun Song. This book was released on 2007-07-27. Correlated Data Analysis: Modeling, Analytics, and Applications available in PDF, EPUB and Kindle. This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.