"For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing i…
Table of Contents Preface 1 Introduction 1 2 Autocorrelation Function and Spectrum of Stationary Processes 21 3 Linear Stationary Models 46 4 Linear Nonstationary Models 89 5 Forecasting 131 6 Model Identification 183 7 Model Estimation 224 8 Model Diagnostic Checking 308 9 Seas…
"Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented…
