Introduction to Stochastic Level Crossing Techniques describes stochastic models using the System Point Level Crossing method. This involves deriving probability density functions or cumulative probability distribution functions of key random variables, applying simple level-crossing limit theorems.
Introduction to Stochastic Level Crossing Techniques describes stochastic models using the System Point Level Crossing method. This involves deriving probability density functions or cumulative probability distribution functions of key random variables, applying simple level-crossing limit theorems.
Percy H. Brill is a Professor Emeritus in the Management Science area of the Odette School of Business, and Adjunct Professor in the Departments of Mathematics and Statistics, at the University of Windsor in Canada.
Inhaltsangabe
1. Preliminaries 2. Standard M M 1 Queue and Variants 3. M G 1 Queues 4. M M c Queues 5. G M 1 Queues 6. Inventories 7. Dams 8. Actuarial Risk Model 9. Observation of a Piecewise Cyclic Trajectory at a Random Time Point
1. Preliminaries 2. Standard M M 1 Queue and Variants 3. M G 1 Queues 4. M M c Queues 5. G M 1 Queues 6. Inventories 7. Dams 8. Actuarial Risk Model 9. Observation of a Piecewise Cyclic Trajectory at a Random Time Point
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