Relationships for moments of the progressively Type-II right censored order statistics from the power Lomax distribution and the associated inference
Relationships for moments of the progressively Type-II right censored order statistics from the power Lomax distribution and the associated inference
Author(s): Saran Jagdish, Narinder Pushkarna, Shikha SehgalSubject(s): Business Economy / Management, Methodology and research technology
Published by: Główny Urząd Statystyczny
Keywords: progressively Type-II right censored order statistics; single moments; product moments; recurrence relations; power Lomax distribution; maximum likelihood estimation; Mathematics Subject;
Summary/Abstract: In this paper, we establish several recurrence relations between single and product moments of progressively Type-II right censored order statistics from the power Lomax distribution. The relations enable the computation of all the single and product moments of progressively Type-II right censored order statistics for all sample sizes 𝑛 and all censoring schemes (𝑅1, 𝑅2, … , 𝑅 𝑚) m < 𝑛, in a simple recursive manner. The maximum likelihood approach is used for the estimation of the parameters and the reliability characteristic. A Monte Carlo simulation study has been conducted to compare the performance of the estimates for different censoring schemes.
Journal: Statistics in Transition. New Series
- Issue Year: 22/2021
- Issue No: 4
- Page Range: 191-212
- Page Count: 22
- Language: English
