A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is `application/pdf`

.

##
###
Deconvolution for an atomic distribution: rates of convergence

2011
*
Journal of nonparametric statistics (Print)
*

Let X_1,..., X_n be i.i.d. copies of a random variable X=Y+Z, where X_i=Y_i+Z_i, and Y_i and Z_i are independent and have the same distribution as Y and Z, respectively. Assume that the random variables Y_i's are unobservable and that Y=AV, where A and V are independent, A has a Bernoulli distribution with probability of success equal to 1-p and V has a distribution function F with density f. Let the random variable Z have a known distribution with density k. Based on a sample X_1,...,X_n, we

doi:10.1080/10485252.2011.576763
fatcat:uzoqn5d6mfb57a47zikvbn24o4