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Springer - Topics on Methodological and Applied Statistical Inference

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Description

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.

Key Features

Includes peer-reviewed research contributions spanning multiple statistical disciplines and diverse analytical approaches.

Covers essential methodologies such as Bayesian inference, likelihood approach, pseudo-likelihoods, and regression.

Provides practical applications for data analysis within the life sciences and social sciences sectors.

Features time series analysis and various methods for studying real-life phenomena through statistics.

Offers access to software packages used in the papers, provided directly by the contributing authors.

Documents the professional findings from the 47th Scientific Meeting of the Italian Statistical Society.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
16 June 2018
Listed Since
18 June 2018

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