Statistical Inference Based on the likelihood
Seiten
2023
Routledge (Verlag)
978-1-032-47801-2 (ISBN)
Routledge (Verlag)
978-1-032-47801-2 (ISBN)
Statistical Inference Based on the Likelihood introduces likelihood-based statistical theory and related methods. It takes a classical point of view and denonstrates how the main body of statistical techniques can be generated from a few key concepts.
The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood.
Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data.
The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods. This book introduces likelihood-based statistical theory and related methods from a classical viewpoint, and demonstrates how the main body of currently used statistical techniques can be generated from a few key concepts, in particular the likelihood.
Focusing on those methods, which have both a solid theoretical background and practical relevance, the author gives formal justification of the methods used and provides numerical examples with real data.
Adelchi Azzalini
Statistical Inference Based on the likelihood
Erscheinungsdatum | 11.01.2023 |
---|---|
Reihe/Serie | Chapman & Hall/CRC Monographs on Statistics and Applied Probability |
Verlagsort | London |
Sprache | englisch |
Maße | 138 x 216 mm |
Gewicht | 385 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
ISBN-10 | 1-032-47801-2 / 1032478012 |
ISBN-13 | 978-1-032-47801-2 / 9781032478012 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich