Existence, uniqueness and consistency of estimation of life characteristics of three-parameter Weibull distribution based on Type-II right censored data
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Publication:5222405
DOI10.1080/00949655.2015.1060236OpenAlexW2231542792MaRDI QIDQ5222405
Hideki Nagatsuka, Narayanaswamy Balakrishnan
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/10.1080/00949655.2015.1060236
existenceconsistencyuniquenessmaximum likelihood estimationmean squared errorMonte Carlo simulationbiasWeibull distribution
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- On the maximum likelihood estimation of parameters of Weibull distribution based on complete and censored data
- On nonlinear weighted total least squares parameter estimation problem for the three-parameter Weibull density
- Conditional independence of blocked ordered data
- On the existence of the nonlinear weighted least squares estimate for a three-parameter Weibull distribution
- Double exponential formulas for numerical integration
- A consistent method of estimation for the three-parameter Weibull distribution
- Using the Weibull Distribution
- A simulation study of some simple estimators for the three-parameter weibull distribution
- Moment estimators for the 3-parameter Weibull distribution
- Maximum likelihood estimation in a class of nonregular cases
- The Properties of Moment Estimators for the Weibull Distribution Based on the Sample Coefficient of Variation
- Interval Estimation for the Three-Parameter Lognormal Distribution via the Likelihood Function
- Some complete and censored sampling results for the three-parameter weibull distribution
- Modified maximum likelihood and modified moment estimators for the three-parameter weibull distribution
- Multi-Censored Sampling in the Three Parameter Weibull Distribution
- Maximum Likelihood Estimation for the Three Parameter Weibull Distribution Based on Censored Samples
- Mersenne twister
- Weibull Models
- Parameter estimation of three-parameter Weibull distribution based on progressively Type-II censored samples
- Properties of Moment Estimators For the 3-Parameter Weibull Distribution
- Bayesian Likelihood Methods for Estimating the End Point of a Distribution
- Asymptotic Variances and Covariances of Maximum-Likelihood Estimators, from Censored Samples, of the Parameters of Weibull and Gamma Populations
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