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Dariusz Jacek Jakóbczak (Redactor) - Analyzing Data Through Probabilistic Modeling in Statistics

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Dariusz Jacek Jakóbczak (Redactor) Analyzing Data Through Probabilistic Modeling in Statistics
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Probabilistic modeling represents a subject arising in many branches of mathematics, economics, and computer science. Such modeling connects pure mathematics with applied sciences. Similarly, data analyzing and statistics are situated on the border between pure mathematics and applied sciences. Therefore, when probabilistic modeling meets statistics, it is a very interesting occasion that has gained much research recently. With the increase of these technologies in life and work, it has become somewhat essential in the workplace to have planning, timetabling, scheduling, decision making, optimization, simulation, data analysis, and risk analysis and process modeling. However, there are still many difficulties and challenges that arrive in these sectors during the process of planning or decision making. There continues to be the need for more research on the impact of such probabilistic modeling with other approaches. Analyzing Data Through Probabilistic Modeling in Statistics is an essential reference source that builds on the available literature in the field of probabilistic modeling, statistics, operational research, planning and scheduling, data extrapolation in decision making, probabilistic interpolation and extrapolation in simulation, stochastic processes, and decision analysis. This text will provide the resources necessary for economics and management sciences and for mathematics and computer sciences. This book is ideal for interested technology developers, decision makers, mathematicians, statisticians and practitioners, stakeholders, researchers, academicians, and students looking to further their research exposure to pertinent topics in operations research and probabilistic modeling.

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Analyzing Data Through Probabilistic Modeling in Statistics Dariusz Jacek - photo 1
Analyzing Data Through Probabilistic Modeling in Statistics
  • Dariusz Jacek Jakbczak
    Koszalin University of Technology, Poland

A volume in the Advances in Data Mining and Database Management (ADMDM) Book Series Book Series

Published in the United States of America by IGI Global an imprint of IGI - photo 2Published in the United States of America by IGI Global an imprint of IGI - photo 3

Published in the United States of America by IGI Global (an imprint of IGI Global) 701 E. Chocolate Avenue Hershey PA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: cust@igi-global.com Web site: http://www.igi-global.com/reference

Copyright 2021 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher.

Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark.

Library of Congress Cataloging-in-Publication Data

Names: Jakobczak, Dariusz Jacek, 1965- editor.
Title: Analyzing data through probabilistic modeling in statistics /
Dariusz Jacek Jakobczak, editor.
Description: Hershey, PA : Engineering Science Reference, an imprint of IGI
Global, [2021] | Includes bibliographical references and index. |
Summary: "This book addresses different aspects of probabilistic
modeling, stochastic methods, probabilistic distributions, data
analysis, optimization methods, and probabilistic methods in risk
analysis"-- Provided by publisher.
Identifiers: LCCN 2020006877 (print) | LCCN 2020006878 (ebook) | ISBN
9781799847069 (hardcover) | ISBN 9781799854937 (paperback) | ISBN
9781799847076 (ebook)
Subjects: LCSH: Social sciences--Statistical methods. | Probabilities.
Classification: LCC HA29 .A5826 2021 (print) | LCC HA29 (ebook) | DDC
001.4/22--dc23
LC record available at https://lccn.loc.gov/2020006877
LC ebook record available at https://lccn.loc.gov/2020006878

This book is published under the IGI Global book series Advances in Data Mining and Database Management (ADMDM) (ISSN: 2327-1981 eISSN: 2327-199X)

British Cataloguing in Publication Data

A Cataloguing in Publication record for this book is available from the British Library.

All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher.

Advances in Data Mining and Database Management ADMDM Book Series David - photo 4
Advances in Data Mining and Database Management (ADMDM) Book Series

David Taniar (Monash University, Australia)

ISSN: 2327-1981

Mission

With the large amounts of information available to organizations in todays digital world, there is a need for continual research surrounding emerging methods and tools for collecting, analyzing, and storing data.

The Advances in Data Mining & Database Management (ADMDM) series aims to bring together research in information retrieval, data analysis, data warehousing, and related areas in order to become an ideal resource for those working and studying in these fields. IT professionals, software engineers, academicians and upper-level students will find titles within the ADMDM book series particularly useful for staying up-to-date on emerging research, theories, and applications in the fields of data mining and database management.

Coverage
  • Decision Support Systems
  • Neural Networks
  • Profiling Practices
  • Enterprise Systems
  • Educational Data Mining
  • Association Rule Learning
  • Data Quality
  • Predictive Analysis
  • Database Testing
  • Quantitative StructureActivity Relationship

IGI Global is currently accepting manuscripts for publications within this series. To submit a proposal for a volume in this series please contact our Acquisition Editors at .

The Advances in Data Mining and Database Management (ADMDM) Book Series(ISSN 2327-1981) is published by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titlesavailable for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-data-mining-database-management/37146. Postmaster: send all address changes to above address. Copyright 2021 IGI Global. All rights, including translation in other languages reserved by the pulisher. No part of this series may be reproduced or used in any form or by any means - graphics, electronic, or mechanical, including photocopying, recoreding, taping, or information and retrieval systems - without written permission from the publisher, except for non commercial, educational use, including classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global

Titles in this Series

Challenges and Applications of Data Analytics in Social Perspectives
V. Sathiyamoorthi (Sona College of Technology, India) and Atilla Elci (Hasan Kalyoncu University, Turkey)
Engineering Science Reference copyright 2021 324pp H/C (ISBN: 9781799825661) US $245.00 (our price)

Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications
Niaz Chowdhury (The Open University, Milton Keynes, UK) and Ganesh Chandra Deka (Ministry of Skill Development and Entrepreneurship, New Delhi, India)
Engineering Science Reference copyright 2021 255pp H/C (ISBN: 9781799858768) US $245.00 (our price)

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics
Bhushan Patil (Independent Researcher, India) and Manisha Vohra (Independent Researcher, India)
Engineering Science Reference copyright 2021 583pp H/C (ISBN: 9781799830535) US $345.00 (our price)

Advanced Deep Learning Applications in Big Data Analytics
Hadj Ahmed Bouarara (Tahar Moulay University of Saida, Algeria)
Engineering Science Reference copyright 2021 351pp H/C (ISBN: 9781799827917) US $245.00 (our price)

Opportunities and Challenges for Blockchain Technology in Autonomous Vehicles
Amit Kumar Tyagi (Research Division of Advanced Data Science, Vellore Institute of Technolgy, Chennai, India) Gillala Rekha (K. L. University, India) and N. Sreenath (Pondicherry Engineering College, India)
Engineering Science Reference copyright 2021 316pp H/C (ISBN: 9781799832959) US $245.00 (our price)

Cross-Industry Use of Blockchain Technology and Opportunities for the Future
Idongesit Williams (Aalborg University, Denmark)
Engineering Science Reference copyright 2020 228pp H/C (ISBN: 9781799836322) US $225.00 (our price)

Applications and Developments in Semantic Process Mining
Kingsley Okoye (University of East London, UK)
Engineering Science Reference copyright 2020 248pp H/C (ISBN: 9781799826682) US $195.00 (our price)

Handling Priority Inversion in Time-Constrained Distributed Databases

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