$N$-Dimensional Distributions Containing a Normal Component
نویسندگان
چکیده
منابع مشابه
Multi-scale region-based saliency detection using W2 distance on N-dimensional normal distributions
We present a new segment-based method for saliency detection based on multi-size superpixels that combines local and global saliency cues. We extract superpixels at several scales and represent each superpixel with a normal distribution in CIE-Lab space estimated from its associated pixels. Global saliency is computed by grouping similar superpixels to estimate the spatial distribution of color...
متن کاملA Multivariate Method for Comparing N-dimensional Distributions
We propose a new multivariate method for comparing two N-dimensional distributions. We first use kernel estimation to construct probability densities for the two data sets, and then define two discriminant functions, one appropriate for the null hypothesis and another appropriate for the actual data. Distributions of the two discriminant functions at random test points are then compared using t...
متن کاملLikelihood Ratio Tests for High-Dimensional Normal Distributions
In the paper by Jiang and Yang (2013), six classical Likelihood Ratio Test (LRT) statistics are studied under high-dimensional settings. Assuming that a random sample of size n is observed from a p-dimensional normal population, they derive the central limit theorems (CLTs) when p/n → y ∈ (0, 1], which are different from the classical chisquare limits as n goes to infinity while p remains fixed...
متن کاملThe n - Dimensional Generalized Weyl Fractional Calculus Containing to n - Dimensional H - Transforms
The object of this paper is to establish a relation between the n-dimensional H transform involving the Weyl type ndimensional Saigo operator of fractional integration.
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: The Annals of Mathematical Statistics
سال: 1956
ISSN: 0003-4851
DOI: 10.1214/aoms/1177728084