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