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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 VariablesAsymptotic NormalityMaximum LikelihoodNormal DistributionRandom VariableOrder StatisticsMaximum Likelihood EstimationFamily of DistributionsMaximum Likelihood EstimatorFinite PopulationLarge Sample PropertiesCharacteristic FunctionLimit TheoremsCumulative Distribution FunctionStatistical InferenceLikelihood Ratio TestStochastic Block ModelSample SizeCentral Limit TheoremEstimator
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