Zobrazeno 1 - 10
of 166
pro vyhledávání: '"Noncentral chi distribution"'
Autor:
John Lawrence
Publikováno v:
Sankhya A.
Explicit closed form formulas for the integer moments of the noncentral chi distribution are given. The mean of the noncentral chi distribution is the average distance between a fixed point and a random vector with a standard multivariate normal dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::135dcfba5e3a32f40606f3c468de5c90
https://doi.org/10.1007/s13171-021-00262-3
https://doi.org/10.1007/s13171-021-00262-3
Autor:
Reza P. R. Hasanzadeh, Nima Yaghoobi
Publikováno v:
Magnetic Resonance Imaging. 52:102-117
De-noising is a crucial topic in Magnetic Resonance Imaging (MRI) which focuses on less loss of Magnetic Resonance (MR) image information and details preservation during the noise suppression. Nowadays multiple-coil MRI system is preferred to single
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2444d04d0edccd45db33582af001849
https://doi.org/10.1016/j.mri.2018.06.014
https://doi.org/10.1016/j.mri.2018.06.014
Publikováno v:
Magnetic Resonance Imaging. 31:1372-1383
We extend the diffusion tensor (DT) signal model for multiple-coil acquisition systems. Considering the sum-of-squares reconstruction method, we compute the Cramér–Rao bound (CRB) assuming the widely accepted noncentral chi distribution. Within th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99ed5b5d8b64b824f53e628de34ef7fd
https://doi.org/10.1016/j.mri.2013.04.009
https://doi.org/10.1016/j.mri.2013.04.009
Autor:
Richard G. Brereton
Publikováno v:
Journal of Chemometrics. 29:582-586
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b439ccdd6d9c4be6299326ffaee55e8b
https://doi.org/10.1002/cem.2734
https://doi.org/10.1002/cem.2734
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-13
The quadratic discriminant function (QDF) with known parameters has been represented in terms of a weighted sum of independent noncentral chi-square variables. To approximate the density function of the QDF as m-dimensional exponential family, its mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6de7ce756d62413de65bdc22bd225b14
https://doi.org/10.1080/03610918.2015.1053920
https://doi.org/10.1080/03610918.2015.1053920
Autor:
Tong Hui Wang, Ren Dao Ye
Publikováno v:
Acta Mathematica Sinica, English Series. 31:576-594
For the linear mixed model with skew-normal random effects, this paper gives the density function, moment generating function and independence conditions. The noncentral skew chi-square distribution is defined and its density function is shown. The n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::732847e3c4ef9db1257aca0a206a995d
https://doi.org/10.1007/s10114-015-3326-5
https://doi.org/10.1007/s10114-015-3326-5
Autor:
Kumar Molugaram, G. Shanker Rao
This chapter discusses about the chi-square distribution. Basically chi-square distribution is the measure of which enables us to find out the degree of degree of discrepancy between the observed and expected frequencies. In this chapter we discuss t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dd4b87bc9b3cde2a5742111d38df304
https://doi.org/10.1016/b978-0-12-811555-8.00009-x
https://doi.org/10.1016/b978-0-12-811555-8.00009-x
Autor:
Colin C. Murphy, Donagh Horgan
Publikováno v:
IEEE Communications Letters. 17:2233-2236
A simple and novel asymptotic bound for the maximum error resulting from the use of the central limit theorem to approximate the distribution of chi square and noncentral chi square random variables is derived. The bound enables the quick calculation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf5d1bbe3dfae9c2d703bfbb5fa4b1b1
https://doi.org/10.1109/lcomm.2013.111113.131879
https://doi.org/10.1109/lcomm.2013.111113.131879
Publikováno v:
Communications in Statistics - Simulation and Computation. 42:2086-2105
Noncentral distributions appear in two sample problems and are often used in several fields, for example, in biostatistics. A higher order approximation for a percentage point of the noncentral t-distribution under normality is given by Akahira (1995
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cdeb03b36fabb1d22bad282940f649b
https://doi.org/10.1080/03610918.2012.695841
https://doi.org/10.1080/03610918.2012.695841
Autor:
Xiaofeng Steven Liu
Publikováno v:
Communications in Statistics - Simulation and Computation. 42:1433-1436
This short article shows an unified approach to representing and computing the cumulative distribution function for noncentral t, F, and χ2. Unlike the existing algorithms, which involve different expansion and/or recurrence, the new approach consis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::855ab332beb73543ea7306fb93485b1a
https://doi.org/10.1080/03610918.2012.664230
https://doi.org/10.1080/03610918.2012.664230