Asymptotic Statistical Inference

Discover the essential principles of asymptotic statistical inference in the comprehensive book, Asymptotic Statistical Inference by Shailaja Deshmukh. Published by Springer Verlag in 2022, this paperback edition spans 529 pages and provides an in-depth exploration of large sample optimality properties of estimators and various test procedures. Delve into the intricacies of score tests and Wald’s test, and understand their connections with the likelihood ratio test and Karl Pearson’s chi-square test. This book is an invaluable resource for statisticians and researchers seeking to enhance their knowledge in statistical inference theory. Whether you are a student or a professional, Asymptotic Statistical Inference will equip you with the tools necessary for rigorous statistical analysis. Don't miss out on this essential addition to your statistical library!