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Progressive Censoring

Progressive Censoring

Theory, Methods, and Applications

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Progressive Censoring

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Beschreibung

Details

Einband

Gebundene Ausgabe

Erscheinungsdatum

16.06.2000

Verlag

Birkhäuser Boston

Seitenzahl

248

Maße (L/B/H)

26/18.3/2.1 cm

Beschreibung

Details

Einband

Gebundene Ausgabe

Erscheinungsdatum

16.06.2000

Verlag

Birkhäuser Boston

Seitenzahl

248

Maße (L/B/H)

26/18.3/2.1 cm

Gewicht

707 g

Auflage

2000

Sprache

Englisch

ISBN

978-0-8176-4001-9

Weitere Bände von Statistics for Industry and Technology

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  • Progressive Censoring
  • 1 Introduction.- 1.1 The Big Picture.- 1.2 Genesis.- 1.3 The Need for Progressive Censoring.- 1.4 A Relatively Unexplored Idea.- 1.5 Mathematical Notations.- 1.6 A Friendly Note.- 2 Mathematical Properties of Progressively Type-II Right Censored Order Statistics.- 2.1 General Continuous Distributions.- 2.1.1 Introduction.- 2.1.2 Results.- 2.2 The Exponential Distribution: Spacings.- 2.2.1 Introduction.- 2.2.2 Progressively Type-II Right Censored Spacings.- 2.2.3 Deriving Moments Using Independent Spacings.- 2.3 The Uniform Distribution: Ratios.- 2.3.1 Introduction.- 2.3.2 Independent Ratios.- 2.3.3 Deriving Moments Using Independent Ratios.- 2.4 The Pareto Distribution: Ratios.- 2.4.1 Introduction.- 2.4.2 Independent Ratios.- 2.4.3 Deriving Moments Using Independent Ratios.- 2.5 Bounds for Means and Variances.- 3 Simulational Algorithms.- 3.1 Introduction.- 3.2 Simulation Using the Uniform Distribution.- 3.3 Simulation Using the Exponential Distribution.- 3.4 General Progressively Type-II Censored Samples.- 3.4.1 Arbitrary Continuous Distributions.- 3.4.2 The Exponential Distribution.- 3.4.3 The Uniform Distribution.- 4 Recursive Computation and Algorithms.- 4.1 Introduction.- 4.2 The Exponential Distribution.- 4.2.1 Recurrence Relations for Single Moments.- 4.2.2 Recurrence Relations for Product Moments.- 4.2.3 Recursive Algorithm.- 4.3 The Doubly Truncated Exponential Distribution.- 4.3.1 Recurrence Relations for Single Moments.- 4.3.2 Recurrence Relations for Product Moments.- 4.3.3 Recursive Algorithm.- 4.4 The Pareto Distribution and Truncated Forms.- 4.4.1 Recurrence Relations for Single Moments.- 4.4.2 Recurrence Relations for Product Moments.- 4.4.3 Recursive Algorithm.- 4.5 The Power Function Distribution and Truncated Forms.- 5 Alternative Computational Methods.- 5.1 Introduction.- 5.2 Formulas in Terms of Moments of Usual Order Statistics.- 5.3 Formulas in the Case of Symmetric Distributions.- 5.3.1 Progressive Withdrawal.- 5.3.2 Properties of Progressively Type-II Left Withdrawn Order Statistics.- 5.3.3 Moments of Progressively Type-II Right Censored Order Statistics from Symmetric Distributions.- 5.4 Other Relations for Moments.- 5.5 First-Order Approximations to the Moments.- 6 Linear Inference.- 6.1 One-Parameter (Scale) Models.- 6.1.1 Introduction.- 6.1.2 The Exponential Distribution.- 6.1.3 The Uniform Distribution.- 6.1.4 The Pareto Distribution.- 6.1.5 First-Order Approximation to the BLUE.- 6.2 Two-Parameter (Location-Scale) Models.- 6.2.1 Introduction.- 6.2.2 The Exponential Distribution.- 6.2.3 The Uniform Distribution.- 6.2.4 The Pareto Distribution.- 6.2.5 The Laplace Distribution.- 6.2.6 The Extreme Value Distribution.- 6.2.7 First-Order Approximations to the BLUEs.- 6.3 Best Linear Invariant Estimation.- 7 Likelihood Inference: Type-I and Type-II Censoring.- 71. Introduction.- 7.2 General Continuous Distributions.- 7.3 Specific Continuous Distributions.- 7.3.1 The Normal Distribution.- 7.3.2 The Exponential Distribution.- 7.3.3 The Weibull Distribution.- 7.3.4 The Uniform Distribution.- 7.3.4 The Pareto Distribution.- 7.3.6 The Laplace Distribution.- 7.3.7 Other Distributions (Log-Normal, Gamma, Burr).- 8 Linear Prediction.- 8.1 Introduction.- 8.2 The Exponential Case.- 8.3 Case of General Distributions.- 8.3.1 Scale-Parameter Distributions.- 8.3.2 Location-Scale Distributions.- 8.4 A Simple Approach Based on BLUEs.- 8.5 First-Order Approximations to BLUPs.- 8.6 Prediction Intervals.- 8.7 Illustrative Examples.- 9 Conditional Inference.- 9.1 Introduction.- 9.2 Inference for Location and Scale Parameters.- 9.3 Inference for Quantiles and Reliability and Prediction Intervals.- 9.3.1 Inference for Quantiles.- 9.3.2 Inference for Reliability.- 9.3.3 Prediction Intervals for Future Failures.- 9.4 Results for Extreme Value Distribution.- 9.5 Results for Exponential Distribution.- 9.6 Illustrative Examples.- 9.7 Results for Pareto Distribution.- 10 Optimal Censoring Schemes.- 10.1 Introduction.- 10.2 The Exponential Distribution.- 10.3 The Normal Distribution.- 10.3.1 Discussion of Results.- 10.4 The Extreme Value Distribution.- 10.4.1 Discussion of Results.- 10.5 The Extreme Value (II) Distribution.- 10.5.1 Discussion of Results.- 10.6 The Log-Normal Distribution.- 10.6.1 Discussion of Results.- 10.7 Tables.- 11 Acceptance Sampling Plans.- 11.1 Introduction.- 11.2 The Exponential Distribution.- 11.2.1 One-Sided Sampling Plans.- 11.2.2 Two-Sided Sampling Plans.- 11.3 The Log-Normal Distribution.- Author Index.