2022
Regression methods for the appearances of extremes in climate data
Yu C, Blaha O, Kane M, Wei W, Esserman D, Zelterman D. Regression methods for the appearances of extremes in climate data. Environmetrics 2022, 33 DOI: 10.1002/env.2764.Peer-Reviewed Original Research
2007
Computational Bayesian inference for estimating the size of a finite population
Nandram B, Zelterman D. Computational Bayesian inference for estimating the size of a finite population. Computational Statistics & Data Analysis 2007, 51: 2934-2945. DOI: 10.1016/j.csda.2006.11.034.Peer-Reviewed Original ResearchPosterior distributionComputational Bayesian inferenceBayesian log-linear modelsDiffuse prior distributionIntensive Bayesian methodsFinite populationMetropolis algorithmMarkov chainPrior distributionBayesian inferenceBayesian methodsComputational complexityLog-linear modelMarginal probabilitiesClosed populationAdministrative listsDistributionInferenceAlgorithmProbability
2002
Statistical Inference for Familial Disease Clusters
Yu C, Zelterman D. Statistical Inference for Familial Disease Clusters. Biometrics 2002, 58: 481-491. PMID: 12229982, DOI: 10.1111/j.0006-341x.2002.00481.x.Peer-Reviewed Original Research
2000
The maximum negative binomial distribution
Zhang Z, Burtness B, Zelterman D. The maximum negative binomial distribution. Journal Of Statistical Planning And Inference 2000, 87: 1-19. DOI: 10.1016/s0378-3758(99)00177-9.Peer-Reviewed Original Research
1993
A Semiparametric Bootstrap Technique for Simulating Extreme Order Statistics
Zelterman D. A Semiparametric Bootstrap Technique for Simulating Extreme Order Statistics. Journal Of The American Statistical Association 1993, 88: 477-485. DOI: 10.1080/01621459.1993.10476298.Peer-Reviewed Original ResearchExtremal distributionsOrder statisticsType 1 extreme value distributionNormalized spacingsLarge observed valuesExtreme order statisticsLargest order statisticsExponential random variablesDomain of attractionExtreme value distributionRandom variablesNumerical examplesBootstrap distributionJoint distributionValue distributionBootstrap techniqueObserved valuesSame meanVariatesParent populationStatisticsData setsOriginal dataDistribution
1992
A statistical distribution with an unbounded hazard function and its application to a theory from demography.
Zelterman D. A statistical distribution with an unbounded hazard function and its application to a theory from demography. Biometrics 1992, 48: 807-18. PMID: 1420843, DOI: 10.2307/2532346.Peer-Reviewed Original Research
1988
Order statistics of the generalized logistic distribution
Zelterman D. Order statistics of the generalized logistic distribution. Computational Statistics & Data Analysis 1988, 7: 69-77. DOI: 10.1016/0167-9473(88)90016-3.Peer-Reviewed Original Research