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Journals / Hacettepe Journal of Mathematics and Statistics / 2026 / Volume: 46 Issue: 5

Properties of future lifetime distributions and estimation

Harmanpreet Singh Kapoor
Kanchan Jain
Pages
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Publication Date
2017-10-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Simulations have been carried out to find the ML estimates and the corresponding root mean square errors.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Distributional properties of continuous future lifetime of an individual aged x have been studied.
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Key Findings & Data:The expressions for moments, coecients of skewness and kurtosis have been derived when newborn's lifetime follows dierent distributions.
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Conclusion & Impact:Simulations have been carried out to find the ML estimates and the corresponding root mean square errors.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Future Lifetime · Whole life assurance · Term assurance

Abstract

Distributional properties of continuous future lifetime of an individual aged x have been studied. The expressions for moments, coecients of skewness and kurtosis have been derived when newborn's lifetime follows dierent distributions. The maximum likelihood (ML) estimation of the parameters of future lifetime's distributions has been explored for whole life and term assurance contracts. Simulations have been carried out to find the ML estimates and the corresponding root mean square errors.

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Cite This Article

Kapoor, H. S., Jain, K. (2017). Properties of future lifetime distributions and estimation. Hacettepe Journal of Mathematics and Statistics, Volume: 46 Issue: 5. https://ajindex.com/articles/1403008

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