Description

GATE Statistics: Previous Year Questions with Detailed Solutions (2019–2026) is a comprehensive resource designed for students preparing for the GATE Statistics examination and other competitive tests in mathematical statistics.

This book presents fully solved previous year questions from 2019 to 2026, with a strong emphasis on conceptual clarity, step-by-step solutions, and exam-oriented techniques. Each solution is carefully explained to help readers understand not only the final answer but also the underlying statistical concepts and problem-solving strategies.

The content is systematically organized to cover key areas such as Probability Theory, Statistical Inference, Linear Algebra, Real Analysis, and Stochastic Processes, making it a valuable revision tool as well as a practice guide.

This book is especially useful for aspirants of GATE, IIT JAM, ISI, and Ph.D. entrance examinations, as it bridges the gap between theoretical knowledge and practical problem-solving.

With its clear explanations and structured approach, this book aims to build confidence, improve accuracy, and enhance exam performance.

About The Author

Dr. Santosh Kumar Chaudhary is a highly accomplished academician currently serving as an Assistant Professor in the Department of Statistics at the Central University of Jharkhand (CUJ), Ranchi, a position he has held since December 2024. His professional journey is anchored by an extraordinary educational pedigree from India’s premier technical institutes, including a Ph.D. in Mathematical Statistics from IIT Kharagpur (2025), an M.Sc. in Statistics from IIT Bombay (2021), and an M.Sc. in Mathematics from IIT Delhi (2018), following his undergraduate studies at the University of Delhi. His academic brilliance is underscored by remarkable national achievements, most notably securing All India Rank (AIR) 03 in GATE, AIR 17 in IIT-JAM, and AIR 50 in CSIR-JRF. Before joining CUJ, Dr. Chaudhary enriched his professional profile with faculty roles at BIT Mesra and SOA University, Bhubaneswar, alongside extensive experience teaching mathematics for competitive exams like IIT-JEE and JAM at various coaching institutes. As a researcher, he is deeply invested in Information Theory and Reliability Theory, with a specific focus on measuring uncertainty through concepts like entropy, extropy, and varextropy, having published numerous papers in reputed international journals. At CUJ, he continues to contribute to the academic community by teaching both undergraduate and postgraduate students, blending his rigorous theoretical knowledge with practical statistical applications