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Sankhya, Series A – The Indian Journal of Statistics is a prestigious quarterly journal dedicated to the advancement of Mathematical Statistics and Probability. Our aim is to publish high-quality, original research articles that contribute to theoretical developments, methodological advancements, and innovative applications in these fields.
Random VariablesMaximum LikelihoodAsymptotic NormalityNormal DistributionRandom VariableOrder StatisticsFamily of DistributionsMaximum Likelihood EstimationCumulative Distribution FunctionLimit TheoremsLikelihood Ratio TestMaximum Likelihood EstimatorVariable SelectionCentral Limit TheoremEstimatorFinite PopulationProbability MeasuresDynamic DependenceCharacteristic FunctionExponential Distribution
Sankhya, Series A – The Indian Journal of Statistics is a prestigious quarterly journal dedicated to the advancement of Mathematical Statistics and Probability. Our aim is to publish high-quality, original research articles that contribute to theoretical developments, methodological advancements, and innovative applications in these fields.