Li, Haijun

Stochastic Orders in Reliability and Risk

Li, Haijun - Stochastic Orders in Reliability and Risk, ebook


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ISBN: 9781461468929
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Table of contents

Part I. Theory of Stochastic Orders

1. A Global Dependence Stochastic Order Based on the Presence of Noise
Moshe Shaked, Miguel A. Sordo, Alfonso Suárez-Llorens

2. Duality Theory and Transfers for Stochastic Order Relations
Alfred Müller

3. Reversing Conditional Orderings
Rachele Foschi, Fabio Spizzichino

Part II. Stochastic Comparison of Order Statistics

4. Multivariate Comparisons of Ordered Data
Félix Belzunce

5. Sample Spacings with Applications in Multiple-Outlier Models
Nuria Torrado, Rosa E. Lillo

6. Sample Range of Two Heterogeneous Exponential Variables
Peng Zhao, Xiaohu Li

Part III. Stochastic Orders in Reliability

7. On Bivariate Signatures for Systems with Independent Modules
Gaofeng Da, Taizhong Hu

8. Stochastic Comparisons of Cumulative Entropies
Antonio Crescenzo, Maria Longobardi

9. Decreasing Percentile Residual Life: Properties and Estimation
Alba M. Franco-Pereira, Jacobo Uña, Rosa E. Lillo, Moshe Shaked

10. A Review on Convolutions of Gamma Random Variables
Baha-Eldin Khaledi, Subhash Kochar

11. On Used Systems and Systems with Used Components
Xiaohu Li, Franco Pellerey, Yinping You

12. On Allocation of Active Redundancies to Systems: A Brief Review
Xiaohu Li, Weiyong Ding

Part IV. Stochastic Orders in Risk Analysis

13. Dynamic Risk Measures within Discrete-Time Risk Models
Hélène Cossette, Etienne Marceau

14. Excess Wealth Transform with Applications
Subhash Kochar, Maochao Xu

Part V. Applications

15. Intermediate Tail Dependence: A Review and Some New Results
Lei Hua, Harry Joe

16. Second-Order Conditions of Regular Variation and Drees-Type Inequalities
Tiantian Mao

17. Individual and Moving Ratio Charts for Weibull Processes
Francis Pascual

18. On a Slow Server Problem
Vladimir Rykov

19. Dependence Comparison of Multivariate Extremes via Stochastic Tail Orders
Haijun Li

Keywords: Statistics, Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Statistics, general

Publication year
Lecture Notes in Statistics
Page amount
31 pages
Natural Sciences

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