Search results for "Empirical likelihood"

showing 5 items of 5 documents

Empirical Likelihood-Based ANOVA for Trimmed Means

2016

In this paper, we introduce an alternative to Yuen’s test for the comparison of several population trimmed means. This nonparametric ANOVA type test is based on the empirical likelihood (EL) approach and extends the results for one population trimmed mean from Qin and Tsao (2002). The results of our simulation study indicate that for skewed distributions, with and without variance heterogeneity, Yuen’s test performs better than the new EL ANOVA test for trimmed means with respect to control over the probability of a type I error. This finding is in contrast with our simulation results for the comparison of means, where the EL ANOVA test for means performs better than Welch’s heteroscedastic…

HeteroscedasticityHealth Toxicology and MutagenesisPopulationRobust statisticslcsh:Medicineempirical likelihood01 natural sciencesArticletrimmed means010104 statistics & probabilityF-testStatisticshypothesis testing0101 mathematicseducationMathematicseducation.field_of_studyANOVA010102 general mathematicslcsh:RANOVA; empirical likelihood; trimmed means; robust statistics; hypothesis testingPublic Health Environmental and Occupational HealthNonparametric statisticsTruncated meanBrown–Forsythe testEmpirical likelihoodrobust statisticsInternational Journal of Environmental Research and Public Health; Volume 13; Issue 10; Pages: 953
researchProduct

Confidence Intervals for the Mean Based on Exponential Type Inequalities and Empirical Likelihood

2013

For independent observations, recently, it has been proposed to construct the confidence intervals for the mean using exponential type inequalities. Although this method requires much weaker assumptions than those required by the classical methods, the resulting intervals are usually too large. Still in special cases, one can find some advantage of using bounded and unbounded Bernstein inequalities. In this paper, we discuss the applicability of this approach for dependent data. Moreover, we propose to use the empirical likelihood method both in the case of independent and dependent observations for inference regarding the mean. The advantage of empirical likelihood is its Bartlett correcta…

Mathematical optimizationEmpirical likelihoodArticle SubjectBounded functionStatisticsBernstein inequalitiesInferenceInterval (mathematics)Simple extensionExponential typeConfidence intervalMathematicsISRN Biomathematics
researchProduct

Empirical Likelihood Method for a Location Parameter Using Some Robust Estimators

2022

Pētījumā attīstītas empīriskās ticamības (EL) metodes divu un vairāku neatkarīgu populāciju salīdzināšanai, balstoties uz robustiem lokācijas parametra novērtētājiem. Iegūti jauni asimptotiskie rezultāti par empīriskās ticamības metodēm: 1) divu M-novērtētāju starpībai; 2) divu nošķeltu vidējo vērtību starpībai; 3) uz empīrisko ticamību balstītai ANOVA metodei vairāk kā divu nošķeltu vidējo vērtību salīdzināšanai. Tika izstrādāts simulāciju eksperiments un analizēti datu piemēri, kas parādīja, ka jauniegūtās metodes ir līdzvērtīga alternatīva klasiskās statistikas metodēm gadījumos, kad dati ir normāli sadalīti – tām ir līdzīga jauda un spēja kontrolēt empīrisko pirmā veida kļūdu. Turklāt m…

Probability theory and mathematical statisticsMatemātikaEmpirical likelihood
researchProduct

An extended continuous mapping theorem for outer almost sure weak convergence

2019

International audience; We prove an extended continuous mapping theorem for outer almost sure weak convergence in a metric space, a notion that is used in bootstrap empirical processes theory. Then we make use of those results to establish the consistency of several bootstrap procedures in empirical likelihood theory for functional parameters.

Statistics and ProbabilityWeak convergence010102 general mathematicsContinuous mapping theorem16. Peace & justiceEmpirical measure01 natural sciences010104 statistics & probabilityMetric spaceEmpirical likelihoodConsistency (statistics)[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Applied mathematicsStatistics::Methodology0101 mathematicsStatistics Probability and UncertaintyMathematics
researchProduct

Two‐sample problems in statistical data modelling

2010

A common problem in mathematical statistics is to check whether two samples differ from each other. From modelling point of view it is possible to make a statistical test for the equality of two means or alternatively two distribution functions. The second approach allows to represent the two‐sample test graphically. This can be done by adding simultaneous confidence bands to the probability‐probability (P — P) or quantile‐quantile (Q — Q) plots. In this paper we compare empirically the accuracy of the classical two‐sample t‐test, empirical likelihood method and several bootstrap methods. For a real data example both Q — Q and P — P plots with simultaneous confidence bands have been plotted…

simultaneous bandsMathematical statisticstwo‐sample problemt‐testempirical likelihoodData modelingquantile‐quantile plotEmpirical likelihoodDistribution functionprobability‐probability plotModeling and SimulationStatisticsQA1-939Point (geometry)Two sampleQ–Q plotAnalysisMathematicsStatistical hypothesis testingMathematicsMathematical Modelling and Analysis
researchProduct