A general estimation method using spacings

DOI10.1016/S0378-3758(00)00160-9zbMath0965.62019OpenAlexW2015117719MaRDI QIDQ5931388

Kaushik Ghosh, Sreenivasa Rao Jammalamadaka

Publication date: 31 July 2001

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(00)00160-9

zbMATH Keywords

entropyorder statisticsHellinger distancespacingsKullback-Leibler informationmaximum likelihood

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Point estimation (62F10)

Related Items (24)

Parameter estimation of inverse Lindley distribution for type-I censored data ⋮ Robust estimation on a parametric model via testing ⋮ Generalized Maximum Spacing Estimation for Multivariate Observations ⋮ On the asymptotics of minimum disparity estimation ⋮ Estimation of inverse Lindley distribution using product of spacings function for hybrid censored data ⋮ On the behaviour of tests based on sample spacings for moderate samples ⋮ Some parametric tests based on sample spacings ⋮ A class of estimators based on overlapping sample spacings ⋮ A class of asymptotically efficient estimators based on sample spacings ⋮ Modified maximum spacings method for generalized extreme value distribution and applications in real data analysis ⋮ Bayesian inference using product of spacings function for Progressive hybrid Type-I censoring scheme ⋮ The probability of large deviations for the sum functions of spacings ⋮ Alternatives to maximum likelihood estimation based on spacings and the Kullback-Leibler divergence ⋮ Comparison of certain value-at-risk estimation methods for the two-parameter Weibull loss distribution ⋮ A test of goodness-of-fit based on Gini's index of spacings ⋮ Sum-functions of spacings of increasing order ⋮ A new method for hypotheses testing using spacings ⋮ A note on weighted least square distribution fitting and full standardization of the empirical distribution function ⋮ AN ALTERNATIVE TO MAXIMUM LIKELIHOOD BASED ON SPACINGS ⋮ Limit Theorems for φ-Divergences Based onk-Spacings ⋮ Gaussian limits for generalized spacings ⋮ Maximum spacing estimation for continuous time Markov chains and semi-Markov processes ⋮ Powerful Parametric Tests Based on Sum-Functions of Spacings ⋮ Some goodness of fit tests based on centre outward spacings

Cites Work

• Weak convergence of empirical distribution functions of random variables subject to perturbations and scale factors
• Asymptotic spacings theory with applications to the two-sample problem
• A Simplex Method for Function Minimization
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