Results 51 to 60 of about 11,564,095 (404)
Variability Measures of Positive Random Variables
PLoS ONE, 2011 During the stationary part of neuronal spiking response, the stimulus can be encoded in the firing rate, but also in the statistical structure of the interspike intervals. We propose and discuss two information-based measures of statistical dispersion of the interspike interval distribution, the entropy-based dispersion and Fisher information-based ...
Ondrej Pokora +2 more
openaire +5 more sources
Quantumness in Diagnostics of Marine Internal Combustion Engines and Other Ship Power Plant Machines
Polish Maritime Research, 2023 The article provides proof that the diagnostics of marine internal combustion engines and other ship power plant machines should take into account the randomness and unpredictability of certain events, such as wear, damage, the variations of mechanical ...
Girtler Jerzy, Rudnicki Jacek
doaj +1 more source
An experimental study of the intrinsic stability of random forest variable importance measures
BMC Bioinformatics, 2016 The stability of Variable Importance Measures (VIMs) based on random forest has recently received increased attention. Despite the extensive attention on traditional stability of data perturbations or parameter variations, few studies include influences ...
Hua-zhen Wang, Fan Yang, Zhiyuan Luo
semanticscholar +1 more source
Significance improvement by randomized test in random sampling without replacement [PDF]
arXiv, 2022 This paper studies one-sided hypothesis testing under random sampling without replacement. That is, when $n+1$ binary random variables $X_1,\ldots, X_{n+1}$ are subject to a permutation invariant distribution and $n$ binary random variables $X_1,\ldots, X_{n}$ are observed, we have proposed randomized tests with a randomization parameter for the upper ...
arxiv
Variable importance-weighted random forests
Quantitative Biology, 2017 BackgroundRandom Forests is a popular classification and regression method that has proven powerful for various prediction problems in biological studies. However, its performance often deteriorates when the number of features increases.
Yiyi Liu, Hongyu Zhao
semanticscholar +1 more source
Estimation of the two-parameter Weibull distribution parameters using the coefficient of variation
Vojnotehnički Glasnik, 1996 This paper presents a method for estimating the reliability function parameters when reliability function is the 2-parametar Weibull regression. This model is often used in a reliability analysis in wide variety of situations to approximate successfully ...
Slavko Tomović
doaj +1 more source
Effects of chronic browsing on life‐history traits of an irruptive large herbivore population
Population Ecology, EarlyView.This study aimed to determine the relationship between diet quality, body mass, and size (hind foot length), and female reproduction and sought to identify the mechanism by which high density under severe food limitations is maintained. Our results demonstrated that sika deer introduced to Nakanoshima Island have maintained high densities through high ...
Koichi Kaji +9 more
wiley +1 more source
Characteristic value determination from small samples [PDF]
, 2007 The paper deals with the characteristic value determination from relatively small samples. When the distribution and its parameters of a random variable are known, the characteristic value is deterministic quantity.
Benjamin +8 more
core +2 more sources
Еstimation of randomity of generators of keys of the crypto system
Қарағанды университетінің хабаршысы. Математика сериясы, 2018 The aim of the study is to develop an algorithm for constructing an integer random variable representing random components of the keys of the RSA cryptosystem, and determining the table for the distribution of its probabilities.
M.T. Jenaliyev, А.Т. Nurtazin
doaj +1 more source
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
FEBS Letters, EarlyView.This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source