Estimation procedures for grouped data – a comparative study
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Publication:5138148
DOI10.1080/02664763.2015.1130801OpenAlexW2341183875MaRDI QIDQ5138148
Min Xie, Amitava Mukherjee, Xun Xiao
Publication date: 3 December 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2015.1130801
minimum distance estimationgrouped dataWeibull distributionlognormal distributioninterval-censored dataimputation algorithm
Uses Software
Cites Work
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- On analysis of incomplete field failure data
- Inference for Weibull distribution based on progressively type-II hybrid censored data
- A generalization of Turnbull's estimator for nonparametric estimation of the conditional survival function with interval-censored data
- Minimum chi-square, not maximum likelihood!
- On estimating exponential parameters with general type II progressive censoring.
- Estimation of parameters from progressively censored data using EM algorithm
- Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm
- The MM, ME, ML, EL, EF and GMM approaches to estimation: a synthesis.
- Inference for grouped data with a truncated skew-Laplace distribution
- On the performance of some non-parametric estimators of the conditional survival function with interval-censored data
- Likelihood inference for lognormal data with left truncation and right censoring with an illustration
- A new class of generalized log rank tests for interval-censored failure time data
- Parameter estimations for generalized exponential distribution under progressive type-I interval censoring
- The statistical analysis of interval-censored failure time data.
- Estimating Incidence Rate on Current Status Data with Application to a Phase IV Cancer Trial
- The Exponentiated Weibull Family: A Reanalysis of the Bus-Motor-Failure Data
- Bayesian inference under progressive type-I interval censoring
- Interval censored sampling plans for the log-logistic lifetime distribution
- A New Algorithm for Maximum Likelihood Estimation with Progressive Type-I Interval Censored Data
- Statistical estimation for the parameters of Weibull distribution based on progressively type-I interval censored sample
- Estimation methods for the mean of the exponential distribution based on grouped and censored data
- Maximum likelihood for interval censored data: Consistency and computation
- Exact likelihood inference for the exponential distribution under generalized Type-I and Type-II hybrid censoring
- Statistics of Particle Size Data
- Nonparametric estimation of weighted proportions with application to particle size measurement
- Tutorial on methods for interval-censored data and their implementation in R
- A multivariate rank test for comparing mass size distributions
- Study of an imputation algorithm for the analysis of interval-censored data
- Statistical inference for the extreme value distribution under adaptive Type-II progressive censoring schemes
- Bayesian statistical inference of the loglogistic model with interval-censored lifetime data
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