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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 DistributionOrder StatisticsRandom VariableMaximum Likelihood EstimationFamily of DistributionsMaximum Likelihood EstimatorLikelihood Ratio TestFinite PopulationLimit TheoremsCumulative Distribution FunctionStatistical InferenceEstimatorCentral Limit TheoremCharacteristic FunctionExponential DistributionLarge Sample PropertiesVariable Selection
vol.87 (2025)
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vol.85 (2023)
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