Results 41 to 50 of about 970,726 (170)
Non-Parametric Tolerance Limits
The Annals of Mathematical Statistics, 1948 In this note are presented graphs of minimum probable population coverage by sample blocks determined by the order statistics of a sample from a population with a continuous but unknown cumulative distribution function (c.d.f.). The graphs are constructed for the three tolerance levels .90, .95, and .99.
openaire +3 more sources
, 2015 A non-parametric technique for modeling the behavior of power amplifiers is presented. The proposed technique relies on the principles of density estimation using the kernel method and is suited for use in power amplifier modeling.
Handel, Peter +3 more
core +1 more source
A Novel Non-Parametric Spatiotemporal Scan Statistic: An Application to Detect Disease Outbreaks
Applied Sciences, 2022 The majority of the widely used scan statistics are based on distributional assumptions. Contrary to the existing methods, with a new perspective in clustering, the Mann-Whitney Scan Statistic was introduced to detect clusters in continuous data indexed ...
Kethmi H. Hettige +1 more
doaj +1 more source
Journal of Water and Climate Change, 2023 According to the importance of assessing the presence of time delay between the occurrence of various hydrological and meteorological phenomena, the study aim is to introduce a new method (with high ability and non-sensitivity to the abnormality of ...
Mohammad Reza Mahmoudi +1 more
doaj +1 more source
Fast Kernel Smoothing in R with Applications to Projection Pursuit
Journal of Statistical Software, 2022 This paper introduces the R package FKSUM, which offers fast and exact evaluation of univariate kernel smoothers. The main kernel computations are implemented in C++, and are wrapped in simple, intuitive and versatile R functions.
David P. Hofmeyr
doaj +1 more source
Hypothesis testing for two population means: parametric or non-parametric test?
, 2019 The parametric Welch $t$-test and the non-parametric Wilcoxon-Mann-Whitney test are the most commonly used two independent sample means tests. More recent testing approaches include the non-parametric, empirical likelihood and exponential empirical ...
Alenazi, Abdulaziz +3 more
core +1 more source
Modelling the length of time spent in an unemployment state in South Africa
South African Journal of Science, 2018 The deteriorating global economic conditions have worsened the unemployment situation, especially among the youth in sub-Saharan Africa. Structural factors such as the length of time spent in unemployment and job sustainability have a considerable effect
Jeanette Z. Nonyana, Peter M. Njuho
doaj +1 more source
Remote Sensing, 2022 Airborne light detection and ranging (lidar) has proven to be a useful data source for estimating forest inventory metrics such as basal area (BA), volume, and aboveground biomass (AGB) and for producing wall-to-wall maps for validation of satellite ...
Schyler Brown +2 more
doaj +1 more source
Genomic Selection for Drought Tolerance Using Genome-Wide SNPs in Maize
Frontiers in Plant Science, 2017 Traditional breeding strategies for selecting superior genotypes depending on phenotypic traits have proven to be of limited success, as this direct selection is hindered by low heritability, genetic interactions such as epistasis, environmental-genotype
Thirunavukkarasu Nepolean +6 more
doaj +1 more source
Bayesian non parametric modelling of Higgs pair production
EPJ Web of Conferences, 2017 Statistical classification models are commonly used to separate a signal from a background. In this talk we face the problem of isolating the signal of Higgs pair production using the decay channel in which each boson decays into a pair of b-quarks ...
Scarpa Bruno, Dorigo Tommaso
doaj +1 more source