Level crossing methods in stochastic models
โ Scribed by Percy H. Brill (auth.)
- Publisher
- Springer US
- Year
- 2008
- Tongue
- English
- Leaves
- 501
- Series
- International series in operations research & management science 123
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Mathematical Modeling and Industrial Mathematics; Probability Theory and Stochastic Processes; Operations Research/Decision Theory; Industrial and Production Engineering; Production/Logistics; System Performance and Evaluation
๐ SIMILAR VOLUMES
<p>This is a complete update of the first edition of <i>Level Crossing Methods in Stochastic Models</i>, which was published in 2008. Level crossing methods are a set of sample-path based mathematical tools used in applied probability to establish reliable probability distributions. Since the basis
<p>Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models. Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures intr