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Defor E, Zhao Y. Empirical likelihood inference for the mean past lifetime function. STATISTICS-ABINGDON 2022. [DOI: 10.1080/02331888.2022.2061487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Edem Defor
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, USA
| | - Yichuan Zhao
- Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, USA
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Eliwa MS, El-Morshedy M. A one-parameter discrete distribution for over-dispersed data: statistical and reliability properties with applications. J Appl Stat 2021; 49:2467-2487. [DOI: 10.1080/02664763.2021.1905787] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- M. S. Eliwa
- Misr Higher Institute for Commerce and Computers, Science and Technology Academy, Mansoura, Egypt
- Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, Egypt
| | - M. El-Morshedy
- Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia
- Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, Egypt
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El-Morshedy M, Eliwa MS, Nagy H. A new two-parameter exponentiated discrete Lindley distribution: properties, estimation and applications. J Appl Stat 2019; 47:354-375. [DOI: 10.1080/02664763.2019.1638893] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- M. El-Morshedy
- Mathematics Department, Faculty of Science, Mansoura University, Mansoura, Egypt
| | - M. S. Eliwa
- Mathematics Department, Faculty of Science, Mansoura University, Mansoura, Egypt
| | - H. Nagy
- Mathematics Department, Faculty of Science, Mansoura University, Mansoura, Egypt
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Asha G, Elbatal I, Rejeesh CJ. Further results on discrete mean past lifetime. COMMUN STAT-THEOR M 2016. [DOI: 10.1080/03610926.2013.857415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Mathew DC, Beg MI. Characterizing Discrete Life Distributions by Properties of Reversed Variance Residual life. COMMUN STAT-THEOR M 2015. [DOI: 10.1080/03610926.2013.791369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Unnikrishnan Nair N, Sankaran P. Characterizations of discrete distributions using reliability concepts in reversed time. Stat Probab Lett 2013. [DOI: 10.1016/j.spl.2013.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Reversed variance residual life function and its properties in discrete lifetime models. INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT 2013. [DOI: 10.1108/02656711311325593] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeIn reliability studies, interests in discrete failure data came relatively late in comparison to its continuous analogue. Also, discrete failure data arise in several common situations. So, in this paper the authors try to study some reliability concepts such as reversed variance and reversed mean residual life functions based on discrete lifetime random variable.Design/methodology/approachSupposed T be a non‐negative discrete random variable, then based on reversed residual random variable Tk*=(k−T|T≤k), some useful and applicable relations and bounds are achieved.FindingsIn this paper, the authors study the reversed variance residual life in discrete lifetime distributions, the results of which are not similar to the continuous case. Its relationship with reversed mean residual life and reversed residual coefficient of variation are obtained. Also, its monotonicity and the associated ageing classes of distributions are discussed. Some characterization results of the class of increasing reversed variance residual life, which is denoted by IRVR, are presented and the upper bound for reversed variance residual life under some conditions is obtained.Practical implicationsThere are many situations where a continuous time is inappropriate for describing the lifetime of devices and other systems. For example, the lifetime of many devices in industry, such as switches and mechanical tools, depends essentially on the number of times that they are turned on and off or the number of shocks they receive. In such cases, the time to failure is often more appropriately represented by the number of times they are used before they fail, which is a discrete random variable.Originality/valueAll the results based on discrete reversed residual lifetime, such as the relationships among reversed mean, variance and coefficient of variation residual lifetime and also their monotonicity ageing classes, are new.
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Khorashadizadeh M, Rezaei Roknabadi AH, Mohtashami Borzadaran GR. Characterizations of Lifetime Distributions Based on Doubly Truncated Mean Residual Life and Mean Past to Failure. COMMUN STAT-THEOR M 2012. [DOI: 10.1080/03610926.2010.535626] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Salehi E, Badía F, Asadi M. Preservation properties of a homogeneous Poisson process stopped at an independent random time. Stat Probab Lett 2012. [DOI: 10.1016/j.spl.2011.11.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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