z-logo
open-access-imgOpen Access
Convergence Rate for Estimator of Distribution Function under NSD Assumption with an Application
Author(s) -
Azam Kheyri,
Mohammad Amini,
Hadi Jabbari Nooghabi,
Abolghasem Bozorgnia
Publication year - 2019
Publication title -
journal of the iranian statistical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.293
H-Index - 6
eISSN - 2538-189X
pISSN - 1726-4057
DOI - 10.29252/jirss.18.2.21
Subject(s) - mathematics , estimator , superadditivity , mean squared error , empirical distribution function , kernel (algebra) , rate of convergence , variable kernel density estimation , kernel smoother , exponential distribution , independent and identically distributed random variables , statistics , efficient estimator , random variable , mathematical optimization , kernel method , minimum variance unbiased estimator , combinatorics , mathematical analysis , computer science , radial basis function kernel , channel (broadcasting) , artificial intelligence , computer network , support vector machine

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom