Causality covers causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing t…
"Problem Solving sets out to clarify the general principles involved in tackling real-life statistical problems in an approachable and practical way. The book is written for the student or practitioner who has studied a range of basic statistical techniques but feels unsure abou…
The aim of this book is to provide basic knowledge of the logic and computation of statistics for the sensory evaluation of food, or for other forms of sensory measurement encountered in, say, psychophysics. The book will take you from "ground zero" into the traditional realms o…
The analysis of infectious disease data requires separate attention because standard methods of statistical inference cannot be applied directly. The reasons for this are, that infectious disease data are highly dependent and, that the infection process is only partially observa…
The book presents a concise yet mathematically complete treatment of modern utility theories that covers nonprobabilistic preference theory, the von Neumann-Morgenstern expected-utility theory and its extensions, and the joint axiomatization of utility and subjective probability.
