System Reliability Theory: Models, Statistical Methods, and Applications

System Reliability Theory: Models, Statistical Methods, and Applications By Rausand, Marvin Published by WILEY Publication Date: 2021-01-04 Subject: Technology & Engineering Industrial Engineering, Technology & Engineering Power Resources Alternative & Renewable, Technology & Engineering Quality Control, Technology & Engineering Quality Control, Alternative & Renewable Energy Sources & Technology, Industrial Quality Control, Mathematics, Alternative And Renewable Energy Sources And Technology, Hc Mathematik Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Technology & Engineering Quality Control, Technology & Engineering, Quality Control, Mathematics, Hc Mathematik Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Hc, Mathematik, Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Quality, Productivity & Reliability, Quality & Reliability, Optimization, Handbook System Reliability Engineers;? Reference Industrial Statisticians And System Reliability Engineers;?System Reliability Theory, Modeling, Analytical Methods; Main System Reliability Assessment Methods;?System Reliability Topics; Failure Modes; Common-Cause Failure Modeling;?Deterioration Modeling;?Maintenance Modeling And?Assessment?Using Python Code;?Life Data Analysis Using R; Real World?Reliability Engineering Problems And Examples Subject Keywords: Handbook system reliability engineers; main system reliability assessment methods; failure modes; Common-cause failure modeling;? reference industrial statisticians and system reliability engineers;?system reliability theory, modeling, analytical methods;?system reliability topics;?Deterioration modeling;?Maintenance modeling and?assessment?using Python code;?life data analysis using R; real world?reliability engineering problems and examples, Handbook system reliability engineers;? reference industrial statisticians and system reliability engineers;?system reliability theory, modeling, analytical methods; main system reliability assessment methods;?system reliability topics; failure modes; Common-cause failure modeling;?Deterioration modeling;?Maintenance modeling and?assessment?using Python code;?life data analysis using R; real world?reliability engineering problems and examples Genre: Technology & Engineering, Quality Control, Mathematics, Hc, Mathematik, Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik Target Audience: Professional and scholarly