Non-Gaussian Autoregressive-Type Time Series

Discover the intricacies of time series analysis with "Non-Gaussian Autoregressive-Type Time Series" by N. Balakrishna. Published by Springer Verlag in 2023, this insightful paperback spans 225 pages and delves into the classification of stationary time-series models. The book expertly categorizes various models, including linear stationary models with non-Gaussian innovations, linear stationary models featuring non-Gaussian marginal distributions, product autoregressive models, and minification models. Whether you're a seasoned researcher or a student eager to deepen your understanding of time series, this comprehensive guide provides essential knowledge and frameworks for analyzing complex data. Enhance your analytical skills and explore the innovative approaches presented by Balakrishna in this essential addition to your library.