109,49 €
Mathematical Modeling for Business Analytics
Mathematical Modeling for Business Analytics
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Mathematical Modeling for Business Analytics
Mathematical Modeling for Business Analytics
El. knyga:
109,49 €
Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book is written to expose them to the latest tools and techniques available to help them 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. It also foc…

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Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book is written to expose them to the latest tools and techniques available to help them 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. It 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.
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Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book is written to expose them to the latest tools and techniques available to help them 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. It 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.

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