Kernel density estimation of a multidimensional efficiency profile
نویسندگان
چکیده
منابع مشابه
Kernel Density Estimation
Preface The following diploma thesis is thought to be a diploma thesis in applied statistics. I declare this in the first paragraph of my work, because you can treat this subject either from a theoretic or an applied view, although the borders between these two areas of statistics cannot be drawn exactly. The reason why I got the idea to treat this subject, is that on the one hand density estim...
متن کاملFiltered Kernel Density Estimation
A modification of the kernel estimator for density estimation is proposed which allows the incorporation of local information about the smoothness of the density. The estimator uses a small set of bandwidths rather than a single global one as in the standard kernel estimator. It uses a set of filtering functions which determine the extent of influence of the individual bandwidths. Various versi...
متن کاملOn Efficiency Criteria in Density Estimation
We discuss the classical efficiency criteria in density estimation and propose some variants. The context is a general density estimation scheme that contains the cases of i.i.d. or dependent random variables, in discrete or continuous time. Unbiased estimation, optimality and asymptotic optimality are considered. An example of a density estimator that satisfies some suggested criteria is given...
متن کاملContingent Kernel Density Estimation
Kernel density estimation is a widely used method for estimating a distribution based on a sample of points drawn from that distribution. Generally, in practice some form of error contaminates the sample of observed points. Such error can be the result of imprecise measurements or observation bias. Often this error is negligible and may be disregarded in analysis. In cases where the error is no...
متن کاملAdaptive kernel density estimation
This insert describes the module akdensity. akdensity extends the official kdensity that estimates density functions by the kernel method. The extensions are of two types: akdensity allows the use of an “adaptive kernel” approach with varying, rather than fixed, bandwidths; and akdensity estimates pointwise variability bands around the estimated density functions.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Instrumentation
سال: 2015
ISSN: 1748-0221
DOI: 10.1088/1748-0221/10/02/p02011