Enables students to understand how to work their way through the various challenges posed by PhD study with resilience, self sufficiency, resourcefulness and drive to succeed. This book helps students to realize their own solutions and develop their own strategies to overcome whatever may be holding[...]

The author explains the theoretical underpinnings of generalized linear models so that researchers can decide how to select the best way to adapt their data for this type of analysis. Examples are provided to illustrate the application of GLM to actual data and the author includes his Web address wh[...]

Requiring only a background in introductory statistics, calculus and matrix algebra, this text provides explanations of derivations and theories using a computationally oriented approach. It covers topics such as: MCMC algorithms, perfect sampling and Bayesian nonparametrics. It emphasizes R computi[...]