Asymptotically minimax estimation of concave and convex distribution functions

Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete

Volumn 34, Issue 1, 1976, Pages 73-85

  Kiefer, J ^a,b   Wolfowitz, J ^a,b  

^a Department of Obstetrics Gynecology   (United States)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0002842430     PISSN: 00443719     EISSN: 14322064     Source Type: Journal    
DOI: 10.1007/BF00532690     Document Type: Article

References (9)

1. Asymptotic minimax character of the sample distribution function and of the classical multinomial estimator
2. Asymptotic minimax character of the sample distribution function for vector chance variables
3. Consistency of the maximum likelihood estimator in the presence of infinitely many incidental parameters
4. On the theory of mortality measurement. Part II
5. Maximum probability estimators and related topics
6. Skorokhod embedding of multivariate r.v.'s, and the sample d.f.
7. On the deviations of the empiric distribution function of vector chance variables