Items related to A First Course on Parametric Inference
Synopsis
Beginning with a brief historical perspective, this text discusses the basic concept of sufficient statistics and the classical approach based on minimum variance unbiased estimator. It dedicates a chapter to explaining key concepts, such as the simultaneous estimation of several parameters, large sample theory of estimation, hypotheses testing and several others, before developing the tests of hypotheses for finite samples with classical Neyman Pearson theory.
"synopsis" may belong to another edition of this title.
About the Author
B. K. Kale.: Prof. of Statistics (Retd.), University of Pune
"About this title" may belong to another edition of this title.
