Mid –Truncated Burr XII Distribution and Its Applications in Order Statistics
Autor: | Shikha Sehgal, Narinder Pushkarna, Jagdish Saran |
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Rok vydání: | 2019 |
Předmět: |
Statistics and Probability
Order Statistics Mid-Truncated Burr XII Distribution Single Moments Product Moments Recurrence Relations Incomplete Beta Function Characterization Control and Optimization Recurrence relation Distribution (number theory) Characteristic function (probability theory) Order statistic Moment-generating function Truncated distribution Artificial Intelligence Product (mathematics) Signal Processing Computer Vision and Pattern Recognition Statistical physics lcsh:Probabilities. Mathematical statistics Statistics Probability and Uncertainty lcsh:QA273-280 Likelihood function Information Systems Mathematics |
Zdroj: | Statistics, Optimization and Information Computing, Vol 7, Iss 1, Pp 171-191 (2019) |
ISSN: | 2310-5070 2311-004X |
DOI: | 10.19139/soic.v7i1.368 |
Popis: | In this paper we define the Mid-Truncated Burr XII distribution and derive some of its statistical properties such as moments, moment generating function, characteristic function, likelihood function, etc. We have also obtained the recurrence relations for single and product moments of order statistics in a random sample of size n drawn from Mid-Truncated Burr XII distribution. Further, the characterization of mid truncated distribution using conditional moments has been given. |
Databáze: | OpenAIRE |
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