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Dependability for Systems with a Partitioned State Space
Attila Csenki
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Description for Dependability for Systems with a Partitioned State Space
Paperback. Series: Lecture Notes in Statistics. Num Pages: 253 pages, 13 black & white illustrations, biography. BIC Classification: PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 14. Weight in Grams: 365.
Probabilistic models of technical systems are studied here whose finite state space is partitioned into two or more subsets. The systems considered are such that each of those subsets of the state space will correspond to a certain performance level of the system. The crudest approach differentiates between 'working' and 'failed' system states only. Another, more sophisticated, approach will differentiate between the various levels of redundancy provided by the system. The dependability characteristics examined here are random variables associated with the state space's partitioned structure; some typical ones are as follows • The sequence of the lengths of the system's ... Read more
Probabilistic models of technical systems are studied here whose finite state space is partitioned into two or more subsets. The systems considered are such that each of those subsets of the state space will correspond to a certain performance level of the system. The crudest approach differentiates between 'working' and 'failed' system states only. Another, more sophisticated, approach will differentiate between the various levels of redundancy provided by the system. The dependability characteristics examined here are random variables associated with the state space's partitioned structure; some typical ones are as follows • The sequence of the lengths of the system's ... Read more
Product Details
Format
Paperback
Publication date
1994
Publisher
Springer-Verlag New York Inc. United States
Number of pages
253
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
244
Place of Publication
New York, NY, United States
ISBN
9780387943336
SKU
V9780387943336
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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