Arnljot Hoyland & Marvin Rausand 
System Reliability Theory 
Models and Statistical Methods

A comprehensive introduction to reliability analysis. The first section provides a thorough but elementary prologue to reliability theory. The latter half comprises more advanced analytical tools including Markov processes, renewal theory, life data analysis, accelerated life testing and Bayesian reliability analysis. Features numerous worked examples. Each chapter concludes with a selection of problems plus additional material on applications.

Cuprins

Failure Models.

Qualitative System Analysis.

Systems of Independent Components.

Component Importance.

Markov Models.

Counting Processes.

Dependent Failures.

Life Data Analysis.

Accelerated Life Testing.

Bayesian Reliability Analysis.

Reliability Data Sources.

Appendices.

References.

Indexes.

Despre autor

Arnljot Høyland was a Norwegian mathematical statistician. He was born in Bærum. He studied at the University of Oslo and later at the University of California, Berkeley. While a student he worked for the intelligence department at the Norwegian High Command, a military officer with the rank of Major. He lectured at the University of Oslo from 1959 to 1965, and then at the Norwegian Institute of Technology, eventually as a Professor of mathematical statistics.

Marvin Rausand is Professor in the Department of Production and Quality Engineering at the Norwegian University of Science and Technology.