Asymptotically minimax estimation of concave and convex distribution functions
- 1 January 1976
- journal article
- research article
- Published by Springer Nature in Probability Theory and Related Fields
- Vol. 34 (1), 73-85
- https://doi.org/10.1007/bf00532690
Abstract
No abstract availableThis publication has 5 references indexed in Scilit:
- Skorohod embedding of multivariate RV's, and the sample DFProbability Theory and Related Fields, 1972
- Asymptotic Minimax Character of the Sample Distribution Function for Vector Chance VariablesThe Annals of Mathematical Statistics, 1959
- On the deviations of the empiric distribution function of vector chance variablesTransactions of the American Mathematical Society, 1958
- Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental ParametersThe Annals of Mathematical Statistics, 1956
- Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial EstimatorThe Annals of Mathematical Statistics, 1956