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The Journal of the Indian Society for Probability and Statistics is dedicated to advancing research in probability, statistics, and their applications across various fields of science and technology. The journal provides a platform for original theoretical and applied contributions that deepen understanding of probabilistic models, statistical methodologies, and data-driven insights relevant to both regional and global contexts.
Probability and StatisticsIndian SocietyMaximum Likelihood EstimationMaximum LikelihoodMonte Carlo SimulationMoment Generating FunctionBayesian EstimationRandom VariablesMaximum Likelihood EstimatorQuantile FunctionOrder StatisticsExponential DistributionSquared Error Loss FunctionWEIBULL DistributionMaximum Likelihood MethodProposed ModelCensored DataLindley DistributionData SetFamily of Distributions
The Journal of the Indian Society for Probability and Statistics is dedicated to advancing research in probability, statistics, and their applications across various fields of science and technology. The journal provides a platform for original theoretical and applied contributions that deepen understanding of probabilistic models, statistical methodologies, and data-driven insights relevant to both regional and global contexts.