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Applied Statistical Inference

Likelihood and Bayes
Buch | Softcover
XIII, 376 Seiten
2013 | 2014
Springer Berlin (Verlag)
978-3-642-37886-7 (ISBN)

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Applied Statistical Inference - Leonhard Held, Daniel Sabanés Bové
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This book covers statistical inference based on the likelihood function. Discusses frequentist likelihood-based inference from a Fisherian viewpoint, Bayesian inference techniques including point and interval estimates, model choice and prediction and more.

Leonhard Held is a Professor of Biostatistics at the University of Zurich, Switzerland. He has served as Editor or Associate Editor for Biometrical Journal, Biostatistics and Applied Statistics (JRSSC). He has published several books and numerous articles in statistical methodology, applied statistics and biomedical research. He teaches undergraduate and graduate-level courses in Biostatistics and Medical Statistics. Daniel Sabanés Bové wrote his PhD thesis in Statistics at the University of Zurich under the supervision of Leonhard Held. He received the Bernd-Streitberg young researcher award from the German Region of the International Biometrical Society.

Introduction. - Likelihood. - Elements of Frequentist Inference. -Frequentist Properties of the Likelihood. - Likelihood Inference in Multiparameter Models. - Bayesian Inference. - Model Selection. -Numerical Methods for Bayesian Inference. - Prediction Probabilities, Random Variables and Distributions. - Some Results from Matrix Algebra and Calculus. - Some Numerical Techniques.

Erscheint lt. Verlag 25.11.2013
Zusatzinfo XIII, 376 p. 71 illus.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 585 g
Themenwelt Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
Schlagworte Bayesian inference • Likelihood Inference • Model Choice • Prediction • Regression • Statistik
ISBN-10 3-642-37886-2 / 3642378862
ISBN-13 978-3-642-37886-7 / 9783642378867
Zustand Neuware
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