[PDF] Quantitative Models In Decision Making Uum Press eBook
Quantitative Models In Decision Making Uum Press Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Quantitative Models In Decision Making Uum Press book. This book definitely worth reading, it is an incredibly well-written.
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.
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
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.
This book is a valuable resource for those engaged with mathematical modeling. The six chapters of this book discuss the recent trends in applied and associated mathematical sciences, focusing on techniques and modeling, based on real problems. With the appropriate mathematical models and interpretation of numerical results, this book provides useful information and guidance to understand real problems. This book will be useful for new and young researchers from different disciplines to link mathematics to real world applications.
Qualitative Research: Data Collection & Data Analysis Techniques is especially written for anyone who is interested in doing or learning more about qualitative research methods. The reader-friendly organisation and writing style of the book makes it accessible to everyone-academics,professionals, undergraduates, postgraduates, researchers, and even for those who are just beginning to explore the field of qualitative research. Each chapter provides a clear, contextualized and comprehensive coverage of the main qualitative research methods (interviews, focus groups, observations, diary studies, archival document, and content analysis) and will thus equip readers with a thorough understanding of the steps and skills to undertake qualitative research effectively. Bringing together qualitative research scholars from three different tertiary institutions in the country – Associate Prof Dr. Puvensvary Muthiah, Dr. Radziah Abdul Rahim, Puan Noor Hashima Abd Aziz, and Noor Fadhilah Mat Nayan, from Universiti Utara Malaysia (UUM), Assoc. Prof. Dr. Mastura Badzis from Universiti Pendidikan Sultan Idris (UPSI) and R. Sivabala Naidu from Darulaman Teacher Training Institute, this book addresses some of the most important questions facing students and researchers in qualitative research
Qualitative Research: Data Collection & Data Analysis Techniques (2nd Edition) has been systematically revised with additional content, more in-depth explanations, and latest references to enhance the knowledge and skills required for those interested in conducting qualitative research. The reader-friendly organisation and writing style of this edition provides guaranteed accessibility to a wide array of readers ranging from established scholars to novice researchers and undergraduates. Each chapter in this edition is set to provide a clear, contextualised and comprehensive coverage of the main qualitative research methods (interviews, focus groups, observations, diary studies, archival document analysis, and content analysis) aimed at equipping readers with a thorough understanding of the design, procedures and skills to effectively undertake qualitative research. At the same time, the authors have anticipated major concerns such as ethical issues that qualitative researchers often face and addressed them in the various chapters. This effort has been made possible through the collaboration involving notable qualitative research scholars from different tertiary institutions – Assoc. Prof. Dr. Puvensvary Muthiah (ELT Consultant), Dr. R. Sivabala Naidu (Taylor’s College), Assoc. Prof. Dr. Mastura Badzis (International Islamic University Malaysia), Dr. Radziah Abdul Rahim (formerly attached to National Defense University of Malaysia), Dr. Noor Fadhilah Mat Nayan (University of Reading), and Assoc. Prof. Noor Hashima Abd Aziz (Universiti Utara Malaysia).
Accreditation is a certification of the academic quality of an institution of higher learning. Some countries require accreditation and others consider it as optional. Some countries accredit through official government agencies while others appoint independent or private organizations that oversee the whole educational accreditation process. In Malaysia, the Malaysian Qualifications Agency (MQA) is the sole responsible body to monitor the accreditation process for all Higher Education Institutions (HEIs). This manual is a standard reference to assist lecturers and teachers in preparing MQF documents. It sets to provide clear guidelines on details of how to prepare all documents necessary for MQA accreditation.