Parameter Estimation And Hypothesis Testing In Spectral Analysis Of Stationary Time Series
This resource delves into the core statistical techniques of parameter estimation and hypothesis testing, specifically applied within the spectral analysis framework for stationary time series. It covers methodologies crucial for extracting meaningful insights and validating assumptions from time-dependent data, offering a comprehensive understanding for researchers and practitioners in various quantitative fields.