A general method of density estimation for associated random variables
Authors:
Isha Dewan a;
B. L. S. Prakasa rao a
| Affiliation: | a Indian Statistical Institute, Sansanwal Marg, New Delhi, India |
DOI:
10.1080/10485259908832769
Publication Frequency:
8 issues per year
Subjects:
Mathematical Economics;
Mathematical Finance;
Medical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
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(English)
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Abstract
Let
Xn;n ≥1 be a sequence of stationary associated random variables having a common marginal density function f (x). Let , be a sequence of Borel-measurable functions defined on R2. Let be the empirical density function. Here we study a set of sufficient conditions under which the probability at an exponential rate as n → ∞ where the rate possibly depends on ε, δ and f and [a, b] is a finite or an infinite interval.
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| Keywords: Density estimation; associated random variables; uniform consistency; exponential rate |
| AMS Subject Classification 1991: 62007; 60F05 |
| view references (12) |

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Xn;n ≥1
be a sequence of stationary associated random variables having a common marginal density function f (x). Let 


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