Springer - Topics on Methodological and Applied Statistical Inference

Expand your research capabilities with this comprehensive collection of peer-reviewed contributions from various statistical fields. This volume brings together high-quality papers that address diverse approaches and analyses of real-life phenomena, making it an essential resource for researchers and academics. Readers will explore major statistical topics including Bayesian inference, the likelihood approach, pseudo-likelihoods, regression, and time series analysis. The content also covers practical data analysis with direct applications in both the life and social sciences. This book serves as a formal record of the 47th Scientific Meeting of the Italian Statistical Society, providing a deep look into current methodological trends. To support practical implementation and study, the software packages used throughout the research papers are made available by the authors. This makes the text a functional tool for those looking to apply these statistical methods to their own data sets and research projects.