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Mathematical Modeling for Business Analytics

2017-12-15 Business & Economics
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Release : 2017-12-15
Genre : Business & Economics
Kind : eBook
Book Rating : 249/5 ( reviews)

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Book Synopsis Mathematical Modeling for Business Analytics by : William P. Fox

Download or read book Mathematical Modeling for Business Analytics written by William P. Fox. This book was released on 2017-12-15. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book presents the latest tools and techniques available to help in the decision process. The interpretation and explanation of the results are crucial to understanding the strengths and limitations of modeling. This book emphasizes and focuses on the aspects of constructing a useful model formulation, as well as building the skills required for decision analysis. The book also focuses on sensitivity analysis. The author encourages readers to formally think about solving problems by using a thorough process. Many scenarios and illustrative examples are provided to help solve problems. Each chapter is also comprehensively arranged so that readers gain an in-depth understanding of the subject which includes introductions, background information and analysis. Both undergraduate and graduate students taking methods courses in methods and discrete mathematical modeling courses will greatly benefit from using this book. Boasts many illustrative examples to help solve problems Provides many solutions for each chapter Emphasizes model formulation and helps create model building skills for decision analysis Provides the tools to support analysis and interpretation

Modeling Operations Research and Business Analytics

2024-08-30 Mathematics
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Release : 2024-08-30
Genre : Mathematics
Kind : eBook
Book Rating : 136/5 ( reviews)

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Book Synopsis Modeling Operations Research and Business Analytics by : William P Fox

Download or read book Modeling Operations Research and Business Analytics written by William P Fox. This book was released on 2024-08-30. Available in PDF, EPUB and Kindle. Book excerpt: This book provides sample exercises, techniques, and solutions to employ mathematical modeling to solve problems in Operations Research and Business Analytics. Each chapter begins with a scenario and includes exercises built on realistic problems faced by managers and others working in operations research, business analytics, and other fields employing applied mathematics. A set of assumptions is presented, and then a model is formulated. A solution is offered, followed by examples of how that model can be used to address related issues. Key elements of this book include the most common problems the authors have encountered over research and while consulting the fields including inventory theory, facilities' location, linear and integer programming, assignment, transportation and shipping, critical path, dynamic programming, queuing models, simulation models, reliability of system, multi-attribute decision-making, and game theory. In the hands of an experienced professional, mathematical modeling can be a powerful tool. This book presents situations and models to help both professionals and students learn to employ these techniques to improve outcomes and to make addressing real business problems easier. The book is essential for all managers and others who would use mathematics to improve their problem-solving techniques. No previous exposure to mathematical modeling is required. The book can then be used for a first course on modeling, or by those with more experience who want to refresh their memories when they find themselves facing real-world problems. The problems chosen are presented to represent those faced by practitioners. The authors have been teaching mathematical modeling to students and professionals for nearly 40 years. This book is presented to offer their experience and techniques to instructors, students, and professionals.

Mathematical Modeling for Business Analytics

2018 BUSINESS & ECONOMICS
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Release : 2018
Genre : BUSINESS & ECONOMICS
Kind : eBook
Book Rating : 223/5 ( reviews)

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Book Synopsis Mathematical Modeling for Business Analytics by : William P. Fox

Download or read book Mathematical Modeling for Business Analytics written by William P. Fox. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt:

Using Applied Mathematical Models for Business Transformation

2019-12-20 Business & Economics
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Release : 2019-12-20
Genre : Business & Economics
Kind : eBook
Book Rating : 119/5 ( reviews)

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Book Synopsis Using Applied Mathematical Models for Business Transformation by : Trad, Antoine

Download or read book Using Applied Mathematical Models for Business Transformation written by Trad, Antoine. This book was released on 2019-12-20. Available in PDF, EPUB and Kindle. Book excerpt: Traditional business practices have been left behind due to the increased use of data analytics and information technology in companies worldwide. This development has led to businesses implementing transformative projects that use these new technologies in their decision-making systems. Altering the entire architecture of a company is a daunting task; however, researchers are finding methods through applied mathematics that can make it easier on companies. Implementing analytical models into current business processes is vital for professionals across the globe. Using Applied Mathematical Models for Business Transformation is an essential reference source that discusses the advancement of decision-making systems in business environments with the use of applied mathematics, algorithms, and information technology. Featuring research on topics such as decision-making systems, critical success factors, and global enterprise architecture, this book is ideally designed for project managers, financial analysts, business strategists, software engineers, technical architects, students, researchers, and educators seeking coverage on the transformation of business practices using applied mathematics and information technology.

Mathematical Foundations of Big Data Analytics

2021-02-11 Computers
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Release : 2021-02-11
Genre : Computers
Kind : eBook
Book Rating : 210/5 ( reviews)

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Book Synopsis Mathematical Foundations of Big Data Analytics by : Vladimir Shikhman

Download or read book Mathematical Foundations of Big Data Analytics written by Vladimir Shikhman. This book was released on 2021-02-11. Available in PDF, EPUB and Kindle. Book excerpt: In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made. Necessary mathematical tools are examined and applied to current problems of data analysis, such as brand loyalty, portfolio selection, credit investigation, quality control, product clustering, asset pricing etc. – mainly in an economic context. In addition, we discuss interdisciplinary applications to biology, linguistics, sociology, electrical engineering, computer science and artificial intelligence. For the models, we make use of a wide range of mathematics – from basic disciplines of numerical linear algebra, statistics and optimization to more specialized game, graph and even complexity theories. By doing so, we cover all relevant techniques commonly used in Big Data Analytics.Each chapter starts with a concrete practical problem whose primary aim is to motivate the study of a particular Big Data Analytics technique. Next, mathematical results follow – including important definitions, auxiliary statements and conclusions arising. Case-studies help to deepen the acquired knowledge by applying it in an interdisciplinary context. Exercises serve to improve understanding of the underlying theory. Complete solutions for exercises can be consulted by the interested reader at the end of the textbook; for some which have to be solved numerically, we provide descriptions of algorithms in Python code as supplementary material.This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.

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