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Simple random sampleMonte carlo methodPseudo-random number samplingRejection samplingNested sampling algorithmRandom searchRandom sample consensusSurvey samplingBernoulli samplingStochastic processBootstrappingImportance samplingSample spaceStochastic approximationSampling distributionPoisson samplingConsecutive samplingGroup method of data handlingRandom effects modelSampling probabilityParametric statisticsDirichlet-multinomial distributionRandom number generationSystematic samplingRandomness testFamily of setsParametric familyNonparametric statisticsMarkov chain monte carloEstimation theoryBeta-binomial distributionGibbs samplingRecursive bayesian estimationParticle filterGroup testingMarginal distributionRandom binary treeHamiltonian monte carloContinuous uniform distributionStratified randomizationQuota samplingStochastic universal samplingRegularized least squaresPoisson binomial distributionPoisson point processLatin hypercube samplingExperimentStepwise regressionProbability distribution fittingCluster samplingTwo-sample hypothesis testingSieve of sundaramPseudorandomnessAlias methodScale parameterMultistage samplingProbability distributionIndexed familyStudentized range distributionSelection algorithmPairwise independenceTruncated newton methodRandom walkBinomial testBranching processAll-pairs testingNonuniform samplingRandom permutationPseudorandom function familyKuiper's testSequential analysisRandom forestDirichlet distributionDiscrete element methodExponential familyMultinomial testRatio distributionSequential pattern miningSample mean and covarianceQuantum monte carloMonte carlo integrationRandomized algorithmStatistical populationCombinatorial optimizationEmpirical risk minimizationHypergeometric distributionRandom permutation statisticsStratified samplingQuasi-monte carlo methodMaximum likelihood estimationRandom variableRandom subspace methodRandom projectionRayleigh distributionFisher's methodFamily-wise error rateRandom matrixPoint processParticle swarm optimizationRandom variate