Results 41 to 50 of about 18,212 (261)

Some Information Properties of Order Statistics of Skew-normal Distribution

open access: yesRevstat Statistical Journal
The skew-normal distribution and some of its extensions have been considered in the last two decades in view of distribution theory and the associated properties. However, less attention has been paid to other aspects of this family of distributions. In
Parisa Hasanalipour   +2 more
doaj   +1 more source

Marshall-Olkin Power Rayleigh Distribution with Properties and Engineering Applications [PDF]

open access: yesThe Egyptian Statistical Journal
This study presents the proposal of a novel three-parameter Rayleigh distribution, namely Marshall-Olkin Power Rayleigh (MOPR) distribution. Marshall-Olkin Rayleigh (MOR), Marshall-Olkin Chi-Square, and Power Rayleigh (PR) are three particular sub-models
Yassmen Y. Abdelall
doaj   +1 more source

Valid and powerful second-level group statistics for decoding accuracy: Information prevalence inference using the i-th order statistic (i-test)

open access: yesNeuroImage, 2021
In functional magnetic resonance imaging (fMRI) decoding studies using pattern classification, a second-level group statistical test is typically performed after first-level decoding analyses for individual participants.
Satoshi Hirose
doaj   +1 more source

Moments of Order Statistics

open access: yesThe Annals of Statistics, 1973
Let $X_{(i\mid n)}$ be the $i$th smallest order statistic from a population with $\operatorname{pdf} f(x)$ and $\operatorname{cdf} F(x)$. When $\tilde{x}$ is the population median, $n$ is the sample size and $G(x) = F(x)(1 - F(x))$, the following are proved.
openaire   +2 more sources

PDF estimation using order statistic filter bank

open access: yes, 1994
Introduces a new probability density function (pdf) estimation method based on the concept of order statistic filter banks. The proposed method offers a new kind of possibility for statistical analysis of signals with real time processing capabilities ...
Rantala, Seppo; id_orcid   +3 more
core   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási   +14 more
wiley   +1 more source

DEVICE DISTINGUISHING DIGITAL MODULATED SIGNALS BASED ORDERED CHOICE

open access: yesВестник Северо-Кавказского федерального университета, 2022
Typically, digital signals with phase modulation (PM) have the time and information redundancy, thus using properties of order statistics samples of small volume, in particular, the sample median, the proposed increase in the accuracy of measurement of ...
Aleksey Mikhailovich Lyagin   +3 more
doaj  

GPR Raw-Data Order Statistic Filtering and Split-Spectrum Processing to Detect Moisture

open access: yesRemote Sensing, 2014
Considerable research into the area of bridge health monitoring has been undertaken; however, information is still lacking on the effects of certain defects, such as moisture ingress, on the results of ground penetrating radar (GPR) surveying.
Gokhan Kilic
doaj   +1 more source

On an Inequality for Order Statistics

open access: yesThe Annals of Mathematical Statistics, 1971
The problem of finding a Chebyshev type inequality for random variables with unknown or non-existent variance was considered by Z. W. Birnbaum (1970). In this present paper, a statistic, $T$, similar to, but simpler than Birnbaum's, is considered. The statistic is independent of location and scale parameters for families of bell-shaped distributions ...
openaire   +3 more sources

Order Statistics in Artificial Evolution [PDF]

open access: yes, 2004
This article deals with the exploitation of statistical information from extremes values of an evolutionary algorithm. One can use the fact that upper order statistics of a sample converge to known distributions for improving efficiency of selection and crossover operators.
Puechmorel, Stéphane, Delahaye, Daniel
openaire   +3 more sources

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