As we are familiar that existence of life is uncertain. In the context of reliability and lifetime distributions, there are some measures such as the hazard rate function or the mean residual lifetime function that have been used to characterize or compare the aging process of a component. This definition deals with random variable truncated above some t, i.e. the support of the random variable is taken to be (0, t). We outline some common methods for past residual lifetime distributions with the aim to provide some insights on general construction mechanisms. Some applications are given to provide the readers a possible source of ideas to draw upon. Applications of past residual lifetime distributions in reliability, survival analysis and mortality studies are briefly discussed.
Published in | American Journal of Theoretical and Applied Statistics (Volume 4, Issue 3) |
DOI | 10.11648/j.ajtas.20150403.17 |
Page(s) | 118-124 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2015. Published by Science Publishing Group |
Differential Entropy, Past Residual Entropy, Life Time Distributions
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APA Style
Arif Habib, Meshiel Alalyani. (2015). Entropy for Past Residual Life Time Distributions. American Journal of Theoretical and Applied Statistics, 4(3), 118-124. https://doi.org/10.11648/j.ajtas.20150403.17
ACS Style
Arif Habib; Meshiel Alalyani. Entropy for Past Residual Life Time Distributions. Am. J. Theor. Appl. Stat. 2015, 4(3), 118-124. doi: 10.11648/j.ajtas.20150403.17
AMA Style
Arif Habib, Meshiel Alalyani. Entropy for Past Residual Life Time Distributions. Am J Theor Appl Stat. 2015;4(3):118-124. doi: 10.11648/j.ajtas.20150403.17
@article{10.11648/j.ajtas.20150403.17, author = {Arif Habib and Meshiel Alalyani}, title = {Entropy for Past Residual Life Time Distributions}, journal = {American Journal of Theoretical and Applied Statistics}, volume = {4}, number = {3}, pages = {118-124}, doi = {10.11648/j.ajtas.20150403.17}, url = {https://doi.org/10.11648/j.ajtas.20150403.17}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150403.17}, abstract = {As we are familiar that existence of life is uncertain. In the context of reliability and lifetime distributions, there are some measures such as the hazard rate function or the mean residual lifetime function that have been used to characterize or compare the aging process of a component. This definition deals with random variable truncated above some t, i.e. the support of the random variable is taken to be (0, t). We outline some common methods for past residual lifetime distributions with the aim to provide some insights on general construction mechanisms. Some applications are given to provide the readers a possible source of ideas to draw upon. Applications of past residual lifetime distributions in reliability, survival analysis and mortality studies are briefly discussed.}, year = {2015} }
TY - JOUR T1 - Entropy for Past Residual Life Time Distributions AU - Arif Habib AU - Meshiel Alalyani Y1 - 2015/04/21 PY - 2015 N1 - https://doi.org/10.11648/j.ajtas.20150403.17 DO - 10.11648/j.ajtas.20150403.17 T2 - American Journal of Theoretical and Applied Statistics JF - American Journal of Theoretical and Applied Statistics JO - American Journal of Theoretical and Applied Statistics SP - 118 EP - 124 PB - Science Publishing Group SN - 2326-9006 UR - https://doi.org/10.11648/j.ajtas.20150403.17 AB - As we are familiar that existence of life is uncertain. In the context of reliability and lifetime distributions, there are some measures such as the hazard rate function or the mean residual lifetime function that have been used to characterize or compare the aging process of a component. This definition deals with random variable truncated above some t, i.e. the support of the random variable is taken to be (0, t). We outline some common methods for past residual lifetime distributions with the aim to provide some insights on general construction mechanisms. Some applications are given to provide the readers a possible source of ideas to draw upon. Applications of past residual lifetime distributions in reliability, survival analysis and mortality studies are briefly discussed. VL - 4 IS - 3 ER -