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Springer Topics on Methodological and Applied Statistical Inference - Springer

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Description

This peer-reviewed collection from Springer brings together diverse statistical research contributions covering Bayesian inference, likelihood approaches, pseudo-likelihoods, regression, time series, and data analysis. The volume presents real-world applications across life and social sciences, drawing from the 47th Scientific Meeting of the Italian Statistical Society. Each paper includes software packages made available by authors, enabling readers to understand and reproduce the methodological approaches discussed. Whether you are a statistician, researcher, or academic professional, this book offers comprehensive insights into contemporary statistical practices and their practical implementation across multiple disciplines.

Key Features

Bayesian inference and likelihood-based approaches are thoroughly explored with practical examples from statistical research.

Regression and time series analysis methods are detailed with software implementations provided by contributing authors.

Real-world applications in life and social sciences demonstrate how statistical inference methods solve contemporary research problems.

Peer-reviewed contributions from multiple research fields ensure academic rigour and relevance to current statistical practice.

Software packages accompany the papers, allowing readers to apply and reproduce the methodological techniques presented.

Product Specifications

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

Barcode

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