Analysis of discrete-valued time series

The book delves into the statistical analysis of discrete-valued time series, focusing on the INteger-valued AutoRegressive (INAR(p)) process for parameter estimation and order selection in both single and replicated series. It also explores Walsh-Fourier spectral analysis (WFA) to address challenges posed by sharp discontinuities in data. The application of WFA in designing an adaptive control system for neuromuscular blockade during surgeries is examined, making it a valuable resource for researchers and practitioners in count time series and spectral analysis.