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Pranab Kumar Sen is a prominent figure in the field of statistics, recognized for his contributions to constrained statistical inference, among other areas. His work has significantly influenced the methodologies used in statistical testing and estimation. Sen's research has addressed various aspects of order, inequality, and shape constraints, making him a vital contributor to the theoretical framework of modern statistics.

Throughout his career, Sen has authored and contributed to several key texts, including 'Constrained Statistical Inference: Order, Inequality, and Shape Constraints' and 'Contributions to Statistics: Essays in Honor of Norman Lloyd Johnson'. His scholarly output reflects a deep engagement with both theoretical and applied statistics, bridging gaps between complex statistical theories and practical applications. Sen's teachings and publications continue to inspire new generations of statisticians and researchers in the field.

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