Asymptotic Statistical Inference

Delve into the world of statistical theory with Asymptotic Statistical Inference, authored by a team of experts and published by Springer Verlag in 2021. This comprehensive hardback edition spans 529 pages and is an essential resource for anyone interested in the intricacies of asymptotic statistical inference.

This book meticulously explores fundamental concepts, focusing on large sample optimality properties of estimators and various test procedures. Key topics include detailed discussions on score tests, Wald’s test, and their connections to the likelihood ratio test and Karl Pearson’s chi-square test. Perfect for statisticians, researchers, and students alike, this volume serves as both a foundational text and a reference guide for advanced statistical methodologies.

Enhance your understanding of statistical inference with this insightful and informative read from Bookshop today!