Carte In All Likelihood Pawitan

In All Likelihood

Statistical Modelling and Inference Using Likelihood

Limbă: engleză
Legare: Carte broșată
Disponibilitate: șansă 50%
Şanse de a obține acest titlu
336.31 lei
This new, updated second edition of In All Likelihood explores the central role of likelihood in a w...

Informații despre carte

Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2026
Pagini
544
EAN
9780198950936
Enbook ID
49219860
Greutate
957
Dimensiuni
156 x 234

Descriere completă

This new, updated second edition of In All Likelihood explores the central role of likelihood in a wide spectrum of statistical problems, ranging from simple comparisons-such as evaluating accident rates between two groups-to sophisticated analyses involving generalized linear models and semiparametric methods. Rather than treating likelihood merely as a tool for point estimation, the book highlights its broader value as a foundational framework for constructing, understanding and computational implementation of statistical models. It emphasizes how likelihood perspectives inform model development, assessment, and inference in a cohesive and intuitive way.While grounded in essential mathematical theory, the book adopts an informal and accessible approach, using heuristic reasoning and illustrative, realistic examples to convey key ideas. It avoids overly contrived problems that yield to theoretically clean and closed-form solutions, instead embracing more realistic and complex real-world data analysis made tractable by modern computing resources. This perspective helps focus attention on the statistical reasoning behind model choice and interpretation.The text also integrates a wide range of modern topics that extend classical likelihood theory, including generalized and hierarchical generalized linear models, nonparametric smoothing techniques, robust methods, the EM algorithm, and empirical likelihood. Suitable for students, researchers, and practitioners, this book provides both foundational insights and contemporary perspectives on likelihood-based statistical modelling.

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