Intended as a textbook for a core paper on Statistical Inference: Testing of Hypotheses at the undergraduate level, and one semester course at the master’s level, it emphasizes on J. Neyman and Egon Pearson’s mathematical foundations of hypothesis testing, which is one of the finest methodologies of reaching conclusions on population parameter
Manoj Kumar Srivastava
MANOJ KUMAR SRIVASTAVA, Ph.D. (Statistics) is Reader, Department of Statistics, Institute of Social Sciences, Dr. B.R. Ambedkar University, Agra with a teaching experience of more than two decades. Dr. Srivastava has a number of publications in reputed Indian and International journals and presented papers in several research conferences. He is a member of Indian Society of Agricultural Statistics, New Delhi; Assam Statistical Review, Dibrugarh University, Dibrugarh, Assam; Calcutta Statistical Association, Calcutta; Indian Bayesian Society, Indian Chapter of International Society for Bayesian Analysis (ISBA); and Advances and Application in Statistics, Allahabad University, India. NAMITA SRIVASTAVA, Ph.D. (Statistics) is Reader, Department of Statistics, St. John's College, Agra. She has participated in many workshops on Bayesian Statistics and Bayesian computing and has a teaching experience of nearly two decades. Dr. Namita Srivastava has also presented many research papers in conferences. Besides, she is a member of a number of statistical societies and professional organizations. Indian Society of Agricultural Statistics, New Delhi; Assam Statistical Review, Dibrugarh University, Dibrugarh, Assam; Calcutta Statistical Association, Calcutta; Indian Bayesian Society; and Indian Chapter of International Society for Bayesian Analysis
Manoj Kumar Srivastava
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