Applied Statistical Inference

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.