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Advances in Reliability


Author(s): Balakrishnan, N.
ISBN10:  0444500782
ISBN13:  9780444500786
Format:  Hardcover
Pub. Date:  8/1/2001
Publisher(s): Elsevier Science Ltd

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Table of Contents
Preface v
Contributors xix
PART I. RELIABILITY MODELS
Basic Probabilistic Models in Reliability
1(42)
N. Balakrishnan
N. Limnios
C. Papadopoulos
Introduction
2(1)
Discrete time Markov chains and reliability
3(8)
Continuous time Markov chains and reliability
11(4)
Semi-Markov processes and reliability
15(6)
Monte Carlo methods in reliability
21(4)
Variance reduction methods
25(11)
Simulation for semi-Markov systems
36(7)
References
40(3)
The Weibull Nonhomogeneous Poisson Process
43(26)
Asit P. Basu
Steven E. Rigdon
The Poisson processes
43(2)
Models for the reliability of repairable systems
45(1)
Some data sets
46(3)
Point and interval estimation for the power law process
49(8)
Goodness-of-fit tests
57(1)
Estimation of the intensity function
58(2)
Multiple systems modeled with the power law process
60(6)
An extension of the power law process
66(3)
References
68(1)
PART II. LIFE DISTRIBUTIONS
Bathtub-Shaped Failure Rate Life Distributions
69(36)
C. D. Lai
M. Xie
D. N. P. Murthy
Introduction
69(1)
Notions of aging
70(2)
Bathtub-shaped failure rate life distributions
72(4)
Families of bathtub-shaped failure rate distributions
76(5)
Construction techniques for BFR distributions
81(2)
Tests of exponentiality versus bathtub distribution
83(2)
Change point estimations for BFR distributions
85(1)
Applications
86(2)
Mean residual life and bathtub shaped life distributions
88(3)
Optimal burn-in-time for bathtub distributions
91(4)
Models extending the traditional BFR distributions
95(10)
References
99(6)
Equilibrium Distribution - its Role in Reliability Theory
105(34)
A. Chatterjee
S. P. Mukherjee
Introdution
105(1)
History and genesis
106(1)
Equilibrium distributions and dominance relations
107(1)
Equilibrium distributions of higher orders: Properties and generalized order relations
108(6)
Closure of generalized order relations
114(10)
Equilibrium distribution in higher dimension
124(7)
Equilibrium distribution in the context of repairable systems
131(3)
Characterization of exponential distribution
134(1)
Concluding remarks
135(4)
Acknowledgment
135(1)
References
135(4)
PART III. RELIABILITY PROPERTIES
Reliability and Hazard Based on Finite Mixture Models
139(46)
Essam K. AL-Hussaini
Khalaf S. Sultan
Introduction
139(3)
Concepts, notation and definitions
142(5)
Models with components belonging to the same family
147(18)
Models with components belonging to different families
165(11)
Summary and remarks
176(9)
References
177(8)
Mixtures and Monotonicity of Failure Rate Functions
185(14)
Moshe Shakes
Fabio Spizzichino
Introduction
185(1)
Monotonicity of the hazard rate of a mixture
186(5)
Limiting behavior of the hazard rate of a mixture
191(2)
Negative aging properties of multivariate exchangeable mixtures
193(1)
Some results on univariate scale mixtures
194(5)
References
197(2)
Hazard Measure and Mean Residual Life Orderings: A Unified Approach
199(16)
Majid Asadi
D. N. Shanbhag
Introduction
199(1)
Some basic definitions and auxiliary results
200(3)
Hazard measure ordering and its relationships with other partial orderings
203(3)
Some closure properties of the hazard measure ordering
206(9)
References
214(1)
Some Comparison Results of the Reliability Functions of Some Coherent Systems
215(12)
Jie Mi
Introduction
215(1)
Main result
216(4)
Applications
220(7)
References
225(2)
On the Reliability of Hierarchical Structures
227(10)
Lev B. Klebanov
Gabor J. Szekely
Introduction
227(1)
The main equation and its analytic solutions
228(3)
The general solution of the main equation
231(2)
Other normalizations
233(1)
Reconstruction of the reliability polynomial from the limit distribution
233(1)
A generalization of the main equation
234(1)
A General limit result
235(2)
References
235(2)
PART IV. RELIABILITY SYSTEMS
Consecutive k-out-of-n Systems
237(44)
N. A. Mokhlis
Introduction
238(3)
Exact reliability formulas
241(23)
Approximation formulas and bounds
264(17)
References
279(2)
Exact Reliability and Lifetime of Consecutive Systems
281(20)
Sigeo Aki
Introduction
281(2)
Reliability of consecutive systems of directed trees
283(3)
Algorithms for exact reliability and numerical examples
286(6)
Lifetime of consecutive systems
292(9)
References
298(3)
Sequential k-out-of-n Systems
301(72)
E. Cramer
U. Kamps
Introduction
302(7)
Sequential order statistics
309(8)
Sampling situation
317(1)
Maximum likelihood estimators of model parameters for arbitrary distributions
317(3)
Test procedures for model selection
320(5)
A location-scale family of distributions
325(9)
Joint maximum likelihood estimation of model and distribution parameters
334(3)
Estimation of the scale parameter
337(8)
Joint estimation of location and scale parameters
345(6)
Estimation of a common location parameter and of scale parameters
351(4)
Estimation of P(X<Y) with data from sequential k-out-of-n systems
355(7)
Reliability properties of sequential order statistics
362(11)
Acknowledgement
367(1)
References
367(6)
PART V. PROGRESSIVE CENSORING
Progressive Censoring: A Review
373(58)
Rita Aggarwal
Introduction
373(1)
Review and notation
374(2)
Moment determination
376(19)
Inference under progressive censoring
395(17)
Related topics in progressive censoring
412(19)
References
426(5)
Point and Interval Estimation for Parameters of the Logistic Distribution Based on Progressively Type-II Censored Samples
431(26)
N. Balakrishnan
N. Kannan
Introduction
431(2)
Maximum likelihood estimators
433(1)
Approximate estimators
434(3)
Weighted least squares estimation
437(1)
Observed and expected Fisher information
438(4)
Simulation results
442(4)
Coverage probabilities
446(8)
Illustrative Example
454(1)
Conclusions
455(2)
References
455(2)
Progressively Censored Variables-Sampling Plans for Life Testing
457(12)
Uditha Balasooriya
Introduction
459(1)
Design of variables-sampling plans for progressively censored life-test experiments
459(6)
Illustrations
465(4)
References
466(3)
PART VI. ANALYSIS FOR REPAIRABLE SYSTEMS
Graphical Techniques for Analysis of Data From Repairable Systems
469(16)
Per Anders Akersten
Bengt Klefsjo
Bo Bergman
Introduction
469(1)
Some concepts for repairable systems
470(2)
The TTT-plot
472(2)
Plotting inter-events times
474(1)
Plotting event epochs
475(1)
Combination of the two plots
476(1)
Some useful test statistics
476(2)
An example
478(1)
A TTT-plot based on transformed data
479(2)
Another example
481(2)
Conclusion and comments
483(2)
References
483(2)
A Bayes Approach to the Problem of Making Repairs
485(14)
Gary C. McDonald
Formulation of the problem
485(1)
Bayes decision procedures
486(1)
A univariate observation example
487(4)
A bivariate observation example
491(4)
Further comments on Bayes strategies
495(4)
References
497(2)
PART VII. ANALYSIS FOR MASKED DATA
Statistical Analysis for Masked Data
499(24)
Betty J. Flehinger
Benjamin Reiser
Emmanual Yashchin
Introduction
500(2)
Pass/fail case
502(4)
Life time data: Independent competing risks
506(13)
Life time data: Dependent competing risks
519(4)
Acknowledgement
521(1)
References
521(2)
Analysis of Masked Failure Data under Competing Risks
523(18)
Ananda Sen
Sanjib Basu
Mousumi Banerjee
Introduction
523(1)
Parametric inference procedures
524(10)
Non-parametric methodologies
534(2)
Extensions and other directions
536(5)
Acknowledgement
536(2)
References
538(3)
PART VIII. ANALYSIS FOR WARRANTY DATA
Warranty and Reliability
541(44)
D. N. P. Murthy
W. R. Blischke
Introduction
541(4)
Some common warranty policies
545(6)
Warranty cost analysis
551(17)
Engineering and management of reliability and warranty
568(9)
Reliability and warranty data sources and analyses
577(3)
Conclusions
580(5)
References
581(4)
Statistical Analysis of Reliability Warranty Data
585(26)
Kazuyuki Suzuki
Rezaul Karim
Lianhua Wang
Introduction
585(7)
Estimation of the number of warranty claims
592(5)
Estimation of the failure time distribution using follow-up information
597(4)
Estimation using the usage time distribution
601(3)
Refinement
604(2)
Conclusion
606(5)
Acknowledgements
606(1)
References
607(4)
PART IX. ACCELERATED TESTING
Prediction of Field Reliability of Units, Each under Differing Dynamic Stresses, from Accelerated Test Data
611(12)
Wayne Nelson
Introduction
611(1)
Constant-stress model
612(1)
A cumulative-exposure model for varying stresses
613(2)
Model fitting
615(2)
Estimate population reliability
617(3)
Further work
620(3)
Acknowledgements
621(1)
References
621(2)
Step-Stress Accelerated Life Test
623(18)
E. Guono
N. Balakrishnan
Introduction
623(1)
Step-Stress testing: Definitions
624(1)
Acceleration models
625(2)
Lifetime distribution under step-stress pattern
627(3)
Inference
630(3)
Non-Parametric approach
633(1)
Bayesian analysis
634(3)
Optimal test plan
637(1)
Conclusion
638(3)
References
638(3)
PART X. DESTRUCTIVE TESTING
Estimation of Correlation under Destructive Testing
641(18)
Richard Johnson
Wenquing Lu
Introduction
641(1)
Current designs for estimating correlation
642(4)
A new double proof load design
646(6)
An example using the bivariate Weibull distribution
652(1)
Nonparametric estimation of correlation and conditional survival
653(6)
References
657(2)
PART XI. TEST PLANS
System-Based Component Test Plans for Reliability Demonstration: A Review and Survey of the State-of-the-Art
659(20)
Jayant Rajgopal
Mainak Mazumdar
Introduction
659(5)
Review of research literature
664(10)
Summary and future work
674(5)
References
676(3)
Life-Test Planning for Preliminary Screening of Materials: A Case Study
679(14)
Jeff Stein
Necip Doganaksoy
Introduction
679(1)
Case study background
680(1)
Proposed approach to life-test planning
681(5)
Life-test planning results for the proposed approach
686(1)
Further considerations
686(7)
Acknowledgments
691(1)
Appendix A: Pseudo-code for simulation algorithm assuming a Weibull failure time distribution
691(1)
Appendix B: Derivation of the scale parameter (α) for a fixed shape parameter (β) of a Weibull distribution
691(1)
References
692(1)
Analysis of Reliability Data from In-House Audit Laboratory Testing
693(14)
Rekha Agrawal
Necip Doganaksoy
Introduction
693(1)
The role of audit testing in reliability
694(2)
Case study background
696(2)
Using the mean cumulative function as a monitoring tool
698(1)
Application to the case study
699(3)
Observations, recommendations and conclusions
702(5)
Acknowledgements
704(1)
References
704(3)
PART XII. SOFTWARE RELIABILITY
Software Reliability Modeling, Estimation and Analysis
707(26)
M. Xie
G. Y. Hong
Introduction
707(1)
Classification of software reliability models
707(1)
Some important NHPP software reliability models
708(13)
Markov software reliability models
721(3)
Some Bayesian approaches
724(3)
Some forecasting methods
727(2)
Final remarks
729(4)
References
730(3)
Bayesian Analysis for Software Reliability Data
733(16)
Jorge Alberto Achcar
Introduction
733(3)
A Bayesian analysis for a special type-I strategy model: The Goel and Okumoto model
736(1)
Bayesian inference for NHPP-I software reliability models
737(2)
Bayesian inference for the superposition reliability models
739(2)
A superposition model in the presence of a covariate
741(3)
Bayesian inference and model determination
744(1)
Some examples
745(4)
References
747(2)
PART XIII. INFERENTIAL METHODS
Direct Graphical Estimation for the Parameters in a Three-Parameter Weibull Distribution
749(28)
Peter R. Nelson
K. B. Kulasekera
Introduction
750(1)
Parameter estimation
751(3)
Choice of r1, r2 and r3
754(3)
A graphical solution
757(5)
Comparison with other graphical procedures
762(10)
Conclusion
772(5)
Appendix
772(3)
References
775(2)
Bayesian and Frequentist Methods in Change-Point Problems
777(12)
Nader Ebrahimi
Sujit K. Ghosh
Introduction
777(1)
Continuous change-point problem
778(4)
Discrete change-point problem
782(3)
Concluding remarks
785(4)
References
786(3)
The Operating Characteristics of Sequential Procedures in Reliability
789(24)
S. Zacks
Introduction
789(1)
Sequential estimation of reliability with prescribed proportional closeness
790(7)
Sequential testing
797(5)
Reliability estimation after testing
802(3)
The total operating time of repairable systems
805(2)
Sequential detection of wearout
807(1)
Sequential methods in software reliability
808(5)
References
810(3)
Simultaneous Selection of Extreme Populations from a Set of Two-Parameter Exponential Populations
813(18)
Khaled Hussein
S. Panchapakesan
Introduction
813(2)
Selection in terms of the location parameter: IZ approach
815(4)
Selection in terms of the location parameter: SS approach
819(3)
Selection in terms of the scale parameter: IZ approach
822(2)
Selection in terms of the scale parameter: SS approach
824(3)
Selection based on Type-II censored sample
827(2)
Concluding remarks
829(2)
References
829(2)
Subject Index 831(8)
Contents of Previous Volumes 839

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