Prof. Barlow has distilled his knowledge and 25+ years of teaching experience into 190 pages. The text presents the theory very concisely without sacrificing rigor. All the terminology is carefully defined and the meanings are made clear through examples. The examples appear to be drawn from wha
Engineering Reliability (ASA-SIAM Series on Statistics and Applied Probability)
β Scribed by Richard E. Barlow
- Year
- 1998
- Tongue
- English
- Leaves
- 221
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Engineering reliability concerns failure data analysis, the economics of maintenance policies, and system reliability. This textbook develops the use of probability and statistics in engineering reliability and maintenance problems. The author uses probability models in the analysis of failure data, decisions relative to planned maintenance, and prediction relative to preliminary design. Some of the outstanding features include the analysis of failure data for both continuous and discrete probability from a finite population perspective, probability models derived from engineering considerations, an introduction to influence diagrams and decision making, and use of the operational Bayesian approach. The approach is fresh and interesting; it is motivated from problems in engineering and physical sciences and uses examples to illustrate the methodology. These examples, along with the use of real failure time data, will help the reader apply the techniques to real industrial situations.
β¦ Subjects
ΠΠ°ΡΠΈΠ½ΠΎΡΡΡΠΎΠ΅Π½ΠΈΠ΅ ΠΈ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΠΎΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠ°;Π’Π΅ΠΎΡΠΈΡ Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡΠΈ;
π SIMILAR VOLUMES
Probabilists and fuzzy enthusiasts tend to disagree about which philosophy is best and they rarely work together. As a result, textbooks usually suggest only one of these methods for problem solving, but not both. This book, with contributions from 15 experts in probability and fuzzy logic, is an ex
Probabilists and fuzzy enthusiasts tend to disagree about which philosophy is best and they rarely work together. As a result, textbooks usually suggest only one of these methods for problem solving, but not both. This book, with contributions from 15 experts in probability and fuzzy logic, is an ex
Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithm
Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithm
Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithm