Diagnostic Methods in Time Series

Discover innovative insights into time series analysis with Diagnostic Methods in Time Series by Fumiya Akashi. Published by Springer Verlag in 2021, this engaging paperback spans 108 pages and presents cutting-edge approaches to model diagnostics. Dive into essential topics such as variable selection challenges and higher-order asymptotics of tests, all framed within a unified perspective of portmanteau-type tests based on likelihood ratio tests. This book is an invaluable resource for statisticians and researchers seeking to enhance their understanding of general parametric hypotheses in statistical models. Whether you are a seasoned professional or a newcomer to the field, Akashi's comprehensive analysis will equip you with the necessary tools to navigate the complexities of time series data effectively.