Antiques & collectibles
Architecture
Art
Bibles
Biography & autobiography
Body, mind & spirit
Business & economics
Comics & graphic novels
Computers
Cooking
Crafts & hobbies
Drama
Education
Family & relationships
Fiction
Foreign language study
Games
Gardening
Health & fitness
History
House & home
Humor
Language arts & disciplines
Law
Literary collections
Literary criticism
Mathematics
Medical
Music
Nature
Performing arts
Pets
Philosophy
Photography
Poetry
Political science
Psychology
Reference
Religion
Science
Self-help
Social science
Sports & recreation
Study aids
Technology & engineering
Transportation
Travel
True crime
Young fiction
Young nonfiction
Architecture
Art
Bibles
Biography & autobiography
Body, mind & spirit
Business & economics
Comics & graphic novels
Computers
Cooking
Crafts & hobbies
Drama
Education
Family & relationships
Fiction
Foreign language study
Games
Gardening
Health & fitness
History
House & home
Humor
Language arts & disciplines
Law
Literary collections
Literary criticism
Mathematics
Medical
Music
Nature
Performing arts
Pets
Philosophy
Photography
Poetry
Political science
Psychology
Reference
Religion
Science
Self-help
Social science
Sports & recreation
Study aids
Technology & engineering
Transportation
Travel
True crime
Young fiction
Young nonfiction
Dispatched from Southport
United Kingdom
Usually dispatched within 48 hours
United Kingdom
Usually dispatched within 48 hours
Publisher Description:
Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Over the past several decades, their efforts have yielded highly evolved statistical models that have proven to be especially valuable in the estimation of reliability based upon tests of individual units of systems. Now Statistical Reliability Engineering affords engineers a unique opportunity to learn both the theory behind and applications of those statistical methods.Written by three leading innovators in the field, Statistical Reliability Engineering: Covers all mathematical models for statistical reliability analysis, including Bayesian estimation, accelerated testing, and Monte Carlo simulation Focuses on the estimation of various measures of system reliability based on the testing of individual units Contains new theoretical results available for the first time in print Features numerous examples demonstrating practical applications of the theory presented Statistical Reliability Engineering is an important professional resource for reliability and design engineers, especially those in the telecommunications and electronics industries. It is also an excellent course text for advanced courses in reliability engineering.
Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Over the past several decades, their efforts have yielded highly evolved statistical models that have proven to be especially valuable in the estimation of reliability based upon tests of individual units of systems. Now Statistical Reliability Engineering affords engineers a unique opportunity to learn both the theory behind and applications of those statistical methods.Written by three leading innovators in the field, Statistical Reliability Engineering: Covers all mathematical models for statistical reliability analysis, including Bayesian estimation, accelerated testing, and Monte Carlo simulation Focuses on the estimation of various measures of system reliability based on the testing of individual units Contains new theoretical results available for the first time in print Features numerous examples demonstrating practical applications of the theory presented Statistical Reliability Engineering is an important professional resource for reliability and design engineers, especially those in the telecommunications and electronics industries. It is also an excellent course text for advanced courses in reliability engineering.
Look for similar items by category
Look for similar items by category


