RATE OF CONVERGENCE FOR NON PARAMETRIC DENSITY ESTIMATION IN LINEAR PROCESS | Zendy

A. K. Basu | Zendy; D. K. Sahoo | Zendy

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RATE OF CONVERGENCE FOR NON PARAMETRIC DENSITY ESTIMATION IN LINEAR PROCESS

Author(s) -

A. K. Basu,

D. K. Sahoo

Publication year - 1989

Publication title -

bulletin of informatics and cybernetics

Language(s) - English

Resource type - Journals

eISSN - 2435-743X

pISSN - 0286-522X

DOI - 10.5109/13407

Subject(s) - estimation , parametric statistics , mathematics , rate of convergence , statistics , econometrics , convergence (economics) , density estimation , computer science , economics , estimator , computer network , channel (broadcasting) , management , economic growth

Rate of convergence to normality for the density estimators of Kernel type is obtained when the observations are from a stationary linear processes. At first, the case of estimating the density at a fixed point is considered and latter on, it is extended for estimating joint density. Also the problem of estimating the density at several points is considered.

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