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
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