Bias Correction in the Type I Generalized Logistic Distribution

DOI10.1080/03610918.2010.546542zbMath1217.62028OpenAlexW1991274914MaRDI QIDQ3015863

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Publication date: 13 July 2011

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2010.546542

zbMATH Keywords

bootstrapmaximum likelihood estimatorjackknife

Mathematics Subject Classification ID

Related Items (10)

Bias-corrected Estimators of Scalar Skew Normal ⋮ bccp: an R package for life-testing and survival analysis ⋮ Improved maximum likelihood estimators for the parameters of the Johnson S_B distribution ⋮ Fitting type I generalized Logistic distribution by modified method based on percentiles ⋮ Bias-corrected estimators of scalar skew normal ⋮ Unnamed Item ⋮ Improved maximum-likelihood estimators for the parameters of the unit-gamma distribution ⋮ Bias-corrected maximum likelihood estimation of the parameters of the generalized half-normal distribution ⋮ A Polynomial Logistic Distribution and its Applications in Finance ⋮ Fitting generalized logistic distribution by least squares based on the logistic transformation of order statistics

Cites Work

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• Estimation of the generalized logistic distribution parameters: comparative study
• Bootstrap methods: another look at the jackknife
• Bias correction in ARMA models
• Approximate maximum likelihood estimation for a generalized logistic distribution
• Corrected maximum-likelihood estimation in a class of symmetric nonlinear regression models
• Point and Interval Estimation for a Generalized Logistic Distribution Under Progressive Type II Censoring
• Order statistics from the type i generalized logistic distribution
• Estimation of the Parameters of Type-I Generalized Logistic Distribution Using Order Statistics
• Bias in nonlinear regression
• Statistical Applications of the Multivariate Skew Normal Distribution
• MAXIMUM LIKELIHOOD ESTIMATION FOR GENERALISED LOGISTIC DISTRIBUTIONS
• Bias reduction of maximum likelihood estimates
• Inference for the Type II generalized logistic distribution under progressive Type II censoring
• Bootstrap-based improved estimators for the two-parameter Birnbaum–Saunders distribution
• More Efficient Bootstrap Computations

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