Stress-strength Model And Its Generalizations, The: Theory And ApplicationsWorld Scientific, 2003 M03 4 - 272 páginas This important book presents developments in a remarkable field of inquiry in statistical/probability theory — the stress-strength model.Many papers in the field include the enigmatic “words” P(X |
Contenido
Chapter 1 The StressStrength Models Mathematics History and Applications | 1 |
Chapter 2 The Theory and Some Useful Approaches | 11 |
Chapter 3 Parametric Point Estimation | 47 |
Chapter 4 Parametric Statistical Inference | 109 |
Chapter 5 Nonparametric Models | 139 |
Chapter 6 Some Selected Special Cases | 169 |
Chapter 7 Applications and Examples | 201 |
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Otras ediciones - Ver todas
The Stress-strength Model and Its Generalizations: Theory and Applications Samuel Kotz,Marianna Pensky Vista previa limitada - 2003 |
Términos y frases comunes
a₁ applications approximate assumption asymptotic confidence interval Bayes estimator Bayesian bivariate exponential bootstrap Burr type BVED calculations components confidence interval construction defined Denote Derive the MLE Dirichlet process Enis and Geisser equation estimation of P(X exact confidence intervals example exponential distribution expression formula function gamma distribution given Gupta Guttman Halperin Hence hypergeometric series integration interval estimation Ivshin and Lumelskii Jeffreys's prior Johnson k₁ known method MSE(R multivariate n₁ n₂ nonparametric normal distribution Note observations obtain one-parameter exponential parameters Pareto distribution Pensky pivotal quantity posterior pdf probability problem random vector Reiser respectively ROC curve sample Section standard normal strength stress stress-strength model sufficient statistic system reliability T-distribution Theorem Theory Meth tion two-parameter exponential UMVUE unbiased estimator unknown values Var(Â Var(R variance Weibull Weibull distribution X(n₁ Xn₁ Y₁