Quantitative Models In Decision Making Uum Press
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Quantitative Models in Decision-Making (UUM Press)
This book is a must-have for students, academics, and practitioners looking for simple yet effective solutions to real-world problems. The nine chapters of this book discuss current trends in applied and related quantitative sciences, with an emphasis on techniques and modeling in real-world problems. By employing appropriate quantitative models and interpreting numerical results, this book provides useful information and guidance in understanding real-world problems.
Quantitative Methods & Their Application in Multidisciplinary Area (UUM Press)
This book is a guide for researchers who are involved in statistical and decision science analyses. Both analyses are explained in detail with samples of real applications in daily life to assist readers to appreciate theoretical and mathematical formulations. It covers a wide variety of applications, including economic issues, i.e., stock markets, quality control in the garment industry, customer satisfaction in the banking industry, experimental design in electronic firms, performance of university web portals, daily fat intake, the optimization of shrimp catching activities, meal planning for nurseries and as well as fairness model in economic games. Understanding
Recent Applications in Quantitative Methods and Information Technology (UUM Press)
This book is a guide for researchers who are involved in statistical, mathematical, information technology and decision science analyses. The purpose of the book is to allow readers to get research ideas on a wide range of topics, such as sampling plans, capital budgeting, completion time in production line, searching pattern for mobile cache replacement policy, home security system with biometric finger print and web service technology. The analyses in each chapter are explained in detail with samples of real applications in daily life to assist readers to appreciate theoretical, algorithm and mathematical formulations. Prior to reading this book, readers are advised to have some basic foundation in statistical sampling, tabu search approach, neural network, algorithms, and mathematical formulation. This book will be beneficial to students and researchers who are looking for research topic of the research and how problems can be solved using an applied method.