Read Anywhere and on Any Device!

Subscribe to Read | $0.00

Join today and start reading your favorite books for Free!

Create Free Account

Mathematical and Statistical Models and Methods in Reliability (Statistics for Industry and Technology)

N. Balakrishnan

0/5 ( ratings)

This book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft industry, quality control, and transportation.
The volume is thematically organized into four major sections: Reliability Models, Methods, and Optimization; Statistical Methods in Reliability; Applications; and Computer Tools for Reliability.
Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.

Language: English

Pages: 457

Format: Kindle Edition

Publisher: Birkhäuser Boston

Release: November 02, 2010

Mathematical and Statistical Models and Methods in Reliability (Statistics for Industry and Technology)

N. Balakrishnan

0/5 ( ratings)

This book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft industry, quality control, and transportation.
The volume is thematically organized into four major sections: Reliability Models, Methods, and Optimization; Statistical Methods in Reliability; Applications; and Computer Tools for Reliability.
Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence.

Language: English

Pages: 457

Format: Kindle Edition

Publisher: Birkhäuser Boston

Release: November 02, 2010

More books from N. Balakrishnan

Advances in Degradation Modeling (Statistics for Industry and Technology)

Methods and Applications of Statistics in Clinical Trials, Volume 2.: Planning, Analysis, and Inferential Methods

Selected Works of C. Rajagopalachari: Vol. I 1907-21

Selected Works of C. Rajagopalachari: Vol 3

Selected Works of C. Rajagopalachari: Vol 1

Goodness-of-Fit Tests and Model Validity (Statistics for Industry and Technology)

Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs

Selected Works of C. Rajagopalachari: Vol 2

Selected Works of C. Rajagopalachari Volume III, 1923–25

Rate this book!

Write a review?