: Explains Maximum Likelihood (MLE) and Large Sample Theory .
While there isn't a fictional "story" about this specific textbook, Statistical Inference
: Detailed discussions on small-sample theory using criteria like unbiasedness, equivariance, and minimaxity . statistical inference by manoj kumar srivastava pdf hot
Estimation: Using sample data to calculate a single value (point estimate) or a range of values (interval estimate) that likely includes the population parameter.
Sufficient Statistics: Identifying data points that contain all the information needed about a parameter. : Explains Maximum Likelihood (MLE) and Large Sample Theory
is an Associate Professor in the Department of Statistics at the Institute of Social Sciences, Dr. B.R. Ambedkar University (Agra). He has nearly two decades of teaching experience and is a member of several major statistical societies, including the Indian Society of Agricultural Statistics Google Books Digital Availability Official eBooks
Sufficient statistics, minimal sufficiency, completeness, and various methods of estimation (MLE, Method of Moments) . Ambedkar University (Agra)
-similar and similar tests with Neyman structure for multi-parameter problems .