Quantitative decision models : introduction to operations research and its business applications /
Loma, Edwin J.
Quantitative decision models : introduction to operations research and its business applications / [by] Edwin J. Loma. - Pasig City : Anvil Pub., c2009. - 336 p. : ill. 26 cm.
Quantitative Decision Models introduced me to a realistic and practical modeling of complex algorithms. The book is applicable to both students and industry professionals, since it explains the three aspects of operations research (theory, applications, and computations) in a clear, concise, and straightforward manner using multitudes of examples. It also gives brief discussions of appropriate statistical methods and interpretations of computerized outputs to enhance students' learning. Even students with no previous experience in using spreadsheets will find this text's step-by-step approach and extensive tutorials, easy and relevant in applying statistical tools for analyzing data. Although many of the examples are business oriented, the detailed step-by-step approach makes this book appropriate for reference in other courses and academic disciplines. It serves as an ideal companion to learn Quantitative Methods, Management Science or Operation Reseach. Being compehensive, it can also be used as stand-alone text. - by Diana Reyos-Malabanan, PhD Mathematics (UP Diliman) Coordinator, Math Resource Center, Asia Pacific College
9789712722653
Business intelligence.
Decision making
HD 30.23 / .L837 2009
Quantitative decision models : introduction to operations research and its business applications / [by] Edwin J. Loma. - Pasig City : Anvil Pub., c2009. - 336 p. : ill. 26 cm.
Quantitative Decision Models introduced me to a realistic and practical modeling of complex algorithms. The book is applicable to both students and industry professionals, since it explains the three aspects of operations research (theory, applications, and computations) in a clear, concise, and straightforward manner using multitudes of examples. It also gives brief discussions of appropriate statistical methods and interpretations of computerized outputs to enhance students' learning. Even students with no previous experience in using spreadsheets will find this text's step-by-step approach and extensive tutorials, easy and relevant in applying statistical tools for analyzing data. Although many of the examples are business oriented, the detailed step-by-step approach makes this book appropriate for reference in other courses and academic disciplines. It serves as an ideal companion to learn Quantitative Methods, Management Science or Operation Reseach. Being compehensive, it can also be used as stand-alone text. - by Diana Reyos-Malabanan, PhD Mathematics (UP Diliman) Coordinator, Math Resource Center, Asia Pacific College
9789712722653
Business intelligence.
Decision making
HD 30.23 / .L837 2009
