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Research in Statistics is a broad open access journal publishing original research in all areas of statistics and probability. The journal focuses on broadening existing research fields, and in facilitating international collaboration, and is devoted to the international advancement of the theory and application of advanced statistical techniques. This includes both theoretical and official statistics, statistics for financial data, and administrative statistics. The journal welcomes original and significant contributions in the area of statistics whether on empirical or mathematical foundations, or their applications to any domain of statistical and information technology, and more generally to any field of investigation where statistical methodologies are relevant. Applied papers demonstrating the usefulness of statistical methodology in practical problems are particularly welcome.
Simple Random SamplingFamily of DistributionsRandomized Response TechniqueAkaike Information CriterionMaximum LikelihoodGeneralized Normal DistributionPercent Relative EfficiencyMaximum Likelihood EstimationPopulation MeanStatistical PropertiesMean Squared ErrorTwo-phase SamplingStrength ReliabilityBayesian Information CriterionMoment Generating FunctionRegression EstimatorMaximum Likelihood EstimatorUnbiased EstimatorAuxiliary VariableStratified Random Sampling
Research in Statistics is a broad open access journal publishing original research in all areas of statistics and probability. The journal focuses on broadening existing research fields, and in facilitating international collaboration, and is devoted to the international advancement of the theory and application of advanced statistical techniques. This includes both theoretical and official statistics, statistics for financial data, and administrative statistics. The journal welcomes original and significant contributions in the area of statistics whether on empirical or mathematical foundations, or their applications to any domain of statistical and information technology, and more generally to any field of investigation where statistical methodologies are relevant. Applied papers demonstrating the usefulness of statistical methodology in practical problems are particularly welcome.