Statistical inference for geometric process with the inverse Gaussian distribution
From MaRDI portal
Publication:5222274
DOI10.1080/00949655.2014.958087OpenAlexW2028922730MaRDI QIDQ5222274
Mahmut Kara, Halil Aydoğdu, Özlem Türkşen
Publication date: 1 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2014.958087
Related Items (5)
Parameter estimation in α-series process with lognormal distribution ⋮ Statistical inference for geometric process with the Two-Parameter Lindley Distribution ⋮ Estimation of the parameters of the gamma geometric process ⋮ Statistical inference for geometric process with the Rayleigh distribution ⋮ Estimation of the mean value function for gamma trend renewal process
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Parameter estimation in geometric process with Weibull distribution
- Analysis of data from a series of events by a geometric process model
- Statistical inference for geometric processes with gamma distributions
- Graphical tests for the assumption of gamma and inverse Gaussian frailty distributions
- Geometric processes and replacement problem
- Statistical inference for geometric processes with lognormal distribution.
- Some limit theorems in geometric processes
- A note on the optimal replacement problem
- Nonparametric inference for geometric processes
- Inverse gaussian accelerated test models based on cumulative damage
- Percentile Estimation in Inverse Gaussian Distributions
- Properties of the geometric and related processes
This page was built for publication: Statistical inference for geometric process with the inverse Gaussian distribution