Computational Probability Applications
Andrew G. Glen · Lawrence M. Leemis
2016 оны 12-р сар · International Series in Operations Research & Management Science 247-р ном · Springer
Электрон ном
256
Хуудас
reportҮнэлгээ болон шүүмжийг баталгаажуулаагүй Нэмэлт мэдээлэл авах
Энэ электрон номын тухай
This focuses on the developing field of building probability models with the power of symbolic algebra systems. The book combines the uses of symbolic algebra with probabilistic/stochastic application and highlights the applications in a variety of contexts. The research explored in each chapter is unified by the use of A Probability Programming Language (APPL) to achieve the modeling objectives. APPL, as a research tool, enables a probabilist or statistician the ability to explore new ideas, methods, and models. Furthermore, as an open-source language, it sets the foundation for future algorithms to augment the original code.
Computational Probability Applications is comprised of fifteen chapters, each presenting a specific application of computational probability using the APPL modeling and computer language. The chapter topics include using inverse gamma as a survival distribution, linear approximations of probability density functions, and also moment-ratio diagrams for univariate distributions. These works highlight interesting examples, often done by undergraduate students and graduate students that can serve as templates for future work. In addition, this book should appeal to researchers and practitioners in a range of fields including probability, statistics, engineering, finance, neuroscience, and economics.
Computational Probability Applications is comprised of fifteen chapters, each presenting a specific application of computational probability using the APPL modeling and computer language. The chapter topics include using inverse gamma as a survival distribution, linear approximations of probability density functions, and also moment-ratio diagrams for univariate distributions. These works highlight interesting examples, often done by undergraduate students and graduate students that can serve as templates for future work. In addition, this book should appeal to researchers and practitioners in a range of fields including probability, statistics, engineering, finance, neuroscience, and economics.
Зохиогчийн тухай
Dr. Andrew Glen is a Professor Emeritus of Operations Research from the United States Military Academy, in West Point, NY. He is currently a visiting professor at The Colorado College in Colorado Springs, Colorado. He is a retired colonel from the US Army, and spend 16 years on faculty at West Point. He has published three books and dozens of scholarly articles, mostly on the subject of computational probability. His research and teaching interests are in computational probability and statistical modeling.
Lawrence Leemis is a professor in the Department of Mathematics at The College of William & Mary in Williamsburg, Virginia, U.S.A. He received his BS and MS degrees in mathematics and his PhD in operations research from Purdue University. He has also taught courses at Purdue University, The University of Oklahoma, and Baylor University. He has served as Associate Editor for the IEEE Transactions on Reliability, Book Review Editor for the Journal of Quality Technology, and an Associate Editor for Naval Research Logistics. He has published six books and over 100 research articles, proceedings papers, and book chapters. His research and teaching interests are in reliability, simulation, and computational probability.
Lawrence Leemis is a professor in the Department of Mathematics at The College of William & Mary in Williamsburg, Virginia, U.S.A. He received his BS and MS degrees in mathematics and his PhD in operations research from Purdue University. He has also taught courses at Purdue University, The University of Oklahoma, and Baylor University. He has served as Associate Editor for the IEEE Transactions on Reliability, Book Review Editor for the Journal of Quality Technology, and an Associate Editor for Naval Research Logistics. He has published six books and over 100 research articles, proceedings papers, and book chapters. His research and teaching interests are in reliability, simulation, and computational probability.
Энэ электрон номыг үнэлэх
Санал бодлоо хэлнэ үү.
Унших мэдээлэл
Ухаалаг утас болон таблет
Андройд болон iPad/iPhone-д Google Ном Унших аппыг суулгана уу. Үүнийг таны бүртгэлд автоматаар синк хийх бөгөөд та хүссэн газраасаа онлайн эсвэл офлайнаар унших боломжтой.
Зөөврийн болон ердийн компьютер
Та компьютерийн веб хөтчөөр Google Play-с авсан аудио номыг сонсох боломжтой.
eReaders болон бусад төхөөрөмжүүд
Kobo Цахим ном уншигч гэх мэт e-ink төхөөрөмжүүд дээр уншихын тулд та файлыг татаад төхөөрөмж рүүгээ дамжуулах шаардлагатай болно. Файлуудаа дэмжигддэг Цахим ном уншигч руу шилжүүлэхийн тулд Тусламжийн төвийн дэлгэрэнгүй зааварчилгааг дагана уу.
