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Author: 中国科普研究所，高士其基金管委会编撰

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Computational Probability Applications /

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...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: Glen, Andrew G; Leemis, Lawrence M
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: International Series in Operations Research & Management Science, 247
Subjects:
Business
Operations research
Decision making
Probabilities
Statistics
Business and Management
Operation Research/Decision Theory
Statistics and Computing/Statistics Programs
Probability Theory and Stochastic Processes
Online Access: http://dx.doi.org/10.1007/978-3-319-43317-2
Summary: 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 algo
Carrier Form: 1 online resource(x,256pages): illustrations.
ISBN: 9783319433172
Index Number: HD30
CLC: C934
Contents: Accurate Estimation with One Order Statistic -- On the Inverse Gamma as a Survival Distribution -- Order Statistics in Goodness-of-Fit Testing -- The "Straightforward" Nature of Arrival Rate Estimation? -- Survival Distributions Based on the Incomplete Gamma Function Ratio -- An Inference Methodology for Life Tests with Full Samples or Type II Right Censoring -- Maximum Likelihood Estimation Using Probability Density Functions of Order Statistics -- Notes on Rank Statistics -- Control Chart Constants for Non-Normal Sampling -- Linear Approximations of Probability Density Functions -- Univari

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