Results 11 to 20 of about 13,308 (240)

Analysis of suitable areas for Phlebotomus chinensis as vector of visceral leishmaniasis—China [PDF]

open access: yesFrontiers in Cellular and Infection Microbiology
ObjectivePhlebotomus chinensis (P. chinensis) serves as the primary vector of visceral leishmaniasis, a persistent public health threat, and its suitable distribution range and expansion trends remain unclear.MethodsThis study integrated two sets of ...
Zhongqiu Li   +10 more
doaj   +2 more sources

On The Jackknife Estimation [PDF]

open access: yesThe Egyptian Statistical Journal, 1981
A.K. El-Kholy
doaj   +2 more sources

Comparisons between Resampling Techniques in Linear Regression: A Simulation Study

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi, 2022
The classic methods used in estimating the parameters in linear regression need to fulfill some assumptions. If the assumptions are not fulfilled, the conclusion is questionable. Resampling is one of the ways to avoid such problems.
Anwar Fitrianto, Punitha Linganathan
doaj   +1 more source

The efficiency of remote sensing and machine learning algorithms in the zoning of susceptible areas to dust in Isfahan province [PDF]

open access: yesمدیریت بیابان, 2023
IntroductionDust is a phenomenon that mainly occurs in arid and semi-arid areas as a result of high wind speed and turbulence on the surface of the soil without vegetation and prone to erosion.
Majid Afshari, abbasali vali
doaj   +1 more source

Analytical Approximation of the Jackknife Linking Error in Item Response Models Utilizing a Taylor Expansion of the Log-Likelihood Function

open access: yesAppliedMath, 2023
Linking errors in item response models quantify the dependence on the chosen items in means, standard deviations, or other distribution parameters. The jackknife approach is frequently employed in the computation of the linking error.
Alexander Robitzsch
doaj   +1 more source

Accelerating Jackknife Resampling for the Canonical Polyadic Decomposition

open access: yesFrontiers in Applied Mathematics and Statistics, 2022
The Canonical Polyadic (CP) tensor decomposition is frequently used as a model in applications in a variety of different fields. Using jackknife resampling to estimate parameter uncertainties is often desirable but results in an increase of the already ...
Christos Psarras   +3 more
doaj   +1 more source

Maximum entropy modelling to predict the impact of abiotic variables on the potential distribution of Orthotomicus erosus (Wollaston) (Coleoptera, Curculionidae, Scolytinae) in Iran [PDF]

open access: yesJournal of Insect Biodiversity and Systematics, 2023
Risk assessment is utilized to prioritize preventive measures based on the probability of dispersal success of pests. A main part of the risk assessment procedure is to determine the effects of environmental variables on the current and potential ...
Mona Ghorbanian   +3 more
doaj  

COMPARISON OF RESAMPLING EFFICIENCY LEVELS OF JACKKNIFE AND DOUBLE JACKKNIFE IN PATH ANALYSIS

open access: yesBarekeng, 2023
The assumption of normality is often not fulfilled, this causes the estimation of the resulting parameters to be less efficient. The problem with assuming that normality is not satisfied can be overcome by resampling. The use of resampling allows data to
M. Fikar Papalia   +2 more
doaj   +1 more source

Comparing Nonparametric Estimators for the Number of Shared Species in Two Populations

open access: yesDiversity, 2022
It is often of interest to biologists to evaluate whether two populations are alike with respect to a similarity index; assessing the numbers of shared species is one way to do this.
Jack C. Yue   +2 more
doaj   +1 more source

A Trimmed Jackknife

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1980
Summary The jackknifed version of a regular estimate is the average of the sample pseudo-values, which in general are not independent and often have long-tailed distributions. We examine the simple alternative of the trimmed average of the pseudo-values, which is a naive type of robust estimate. The asymptotic theory is developed and two
Hinkley, David, Wang, Hai-Li
openaire   +2 more sources

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