Parameter estimation in geometric process with Weibull distribution

DOI10.1016/j.amc.2010.08.003zbMath1200.62097OpenAlexW2040592711MaRDI QIDQ606835

Birdal Şenoğlu, Halil Aydoğdu, Mahmut Kara

Publication date: 18 November 2010

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2010.08.003

zbMATH Keywords

consistencyasymptotic normalityefficiencyMonte Carlo simulationTaylor seriesgeometric processmodified likelihood

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Non-Markovian processes: estimation (62M09) Monte Carlo methods (65C05)

Related Items (9)

Parameter estimation in α-series process with lognormal distribution ⋮ Discriminating between some lifetime distributions in geometric counting processes ⋮ Statistical inference for geometric process with the Two-Parameter Lindley Distribution ⋮ Estimation of the parameters of the gamma geometric process ⋮ Estimation of the ratio of a geometric process ⋮ Optimal replacement policy for a deteriorating system with increasing repair times ⋮ Statistical inference for geometric process with the inverse Gaussian distribution ⋮ Computation of the mean value and variance functions in geometric process ⋮ Statistical inference for geometric process with the Rayleigh distribution

Uses Software

• SPLIDA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Analysis of data from a series of events by a geometric process model
• Statistical inference for geometric processes with gamma distributions
• Modified maximum likelihood method for the robust estimation of system parameters from very noisy data
• Geometric processes and replacement problem
• Statistical inference for geometric processes with lognormal distribution.
• Some limit theorems in geometric processes
• On the tiku-suresh method of estimation
• Multiple Linear Regression Model Under Nonnormality
• The Asymptotics of Maximum Likelihood and Related Estimators Based on Type II Censored Data
• A note on the optimal replacement problem
• Modified maximum likelihood and modified moment estimators for the three-parameter weibull distribution
• Nonparametric inference for geometric processes
• NONNORMAL REGRESSION. I. SKEW DISTRIBUTIONS
• Properties of the geometric and related processes
• Evaluation of the maximum-likelihood estimator where the likelihood equation has multiple roots
• Estimating the Parameters of Log-Normal Distribution from Censored Samples
• The Moments of Log-Weibull Order Statistics
• On the Distribution of the Expected Values of the Order Statistics
• On the Exact Evaluation of the Variances and Covariances of Order Statistics in Samples from the Extreme-Value Distribution
• APPROXIMATE CONFIDENCE INTERVALS
• Estimation and hypothesis testing for a nonnormal bivariate distribution with applications

This page was built for publication: Parameter estimation in geometric process with Weibull distribution