Statistical Techniques in Life-testing, Reliability, Sampling Theory and Quality Control

Statistical Techniques in Life-Testing, Reliability, Sampling Theory and Quality Control covers recent research in the unified branches of theoretical and applied Statistics on common platform. These generally involve the concept of probability theory, prior information (Bayes and Minimax both), distribution theory, order statistics censoring, truncation, loss and risk function, conditional distribution (sufficiency and complete sufficiency), sampling techniques using non-response techniques and post-stratification etc. Log-normal models in survival data, Bernoulli's trials, regression, ration under non necessarily model, CUSUM techniques in control charts, and reliability models with wide applications in other disciplines such as biology, mining and coal, industries, agriculture population, science and technology, medical sciences, research organizations, engineering, operation research, cancer institute, defense organizations, etc. are also discussed.