Results 81 to 90 of about 12,227,892 (191)

Asymptotically efficient estimators for the K-distribution

, 2022
4 S.The K-distribution is an important probability distribution to describe the radar reflectivity of ground clutter in SAR images. One of the main tasks is to find reliable estimates of the two parameters that determine the K-distribution.
Maresch, A.
core  

Rational Arithmetic Mathematica Functions to Evaluate the One-sided One-sample K-S Cumulative Sample Distribution

One of the most widely used goodness-of-fit tests is the Kolmogorov-Smirnov (KS) family of tests which have been implemented by many computer statistical software packages.
J. Randall Brown, Milton E. Harvey
core  

Statistics of Energy in Isothermal Supersonic Turbulence

The Astrophysical Journal
Supersonic isothermal turbulence is a common process in astrophysical systems. In this work, we explore the energy in such systems. We show that the conserved energy is the sum of the kinetic energy ( K ) and Helmholtz free energy ( F ).
Branislav Rabatin, David C. Collins
doaj   +1 more source

Fluctuating Target Detection in Fluctuating K-Distributed Clutter.

IEEE Signal Process. Lett., 2015
This letter deals with the problem of fluctuating target detection in heavy-tailed $K$-distributed clutter over a number $T$ of independent coherent intervals, e.g., in the case of a long observation interval (``stare mode''), or that of independent (range) resolution cells as per the track before detect techniques.
Yuri I. Abramovich, Olivier Besson
openaire   +3 more sources

Approximating optimally discrete probability distribution with kth-order dependency for combining multiple decisions

, 1997
A probabilistic combination of K classifiers' decisions obtained from samples needs a (K + 1)st-order probability distribution. Chow and Liu (1968) as well as Lewis (1959) proposed an approximation scheme of such a high-order distribution with a ...
Kim, JinHyung, Kang, HJ, Kim, K
core  

Oversampling Algorithm Based on Improved K-Means and Gaussian Distribution

Information
Oversampling is common and effective in resolving the classification problem of imbalanced data. Traditional oversampling methods are prone to generating overlapping or noisy samples.
Wenhao Xie, Xiao Huang
doaj   +1 more source

Power transforms for the Weibull and the K‐distribution

IET Radar, Sonar & Navigation, 2019
The Weibull and K‐distributions are shown to be very similar over a range of shape parameters ( for the K‐distribution), and the mapping gives a means of converting between the shape parameter of the K ...
openaire   +1 more source

The distribution δ(k)(P ± i0 − m2)

, 1998
In this note we give a sense to certain kinds of distribution δ(k)(P ± i0 − m2) using essentially the causal version of the distribution Bochner (cf. Trione, 1976). As a consequence we obtain the convolution products of distributions δ(k)(P ± i0)
Téllez, Manuel Aguirre
core   +1 more source

Katalog der Bibliothek des K. K. Finanzministeriums

, 1909
KATALOG DER BIBLIOTHEK DES K. K. FINANZMINISTERIUMS Katalog der Bibliothek des K. K. Finanzministeriums (-) Katalog der Bibliothek des K. K. Finanzministeriums (2 (1909)) ( - ) Cover ( - ) Title page ([I]) Vorwort.

core  

Distribution-Free Distribution Regression

, 2018
Distribution regression refers to the situation where a response Y depends on a covariate P where P is a probability distribution. The model is Y=f(P)+e where f is an unknown regression function and e is a random error.
Aarti Singh (5358575), Alessandro Rinaldo (5363894), Larry Wasserman (5362715), Barnabas Poczos (5363738)   +3 more
core   +1 more source