The most comprehensive, single-volume guide to conducting experiments with mixtures"If one is involved, or heavily interested, in experiments on mixtures of ingredients, one must obtain this book. It is, as was the first edition, the definitive work."--Short Book Reviews (Public…
Truth and probability; Foresight: its logical laws, its subjective sources; The bases of probability; Subjective probability as the measure of a non-measurable set; The elicitation of personal probabilities; Probability: beware of falsifications; Probable knowledge.
Probability theory as the study of mathematical models of Random phenomena; Basic probability theory; Independence and dependence; Numerical valued random phenomena; Mean and variance of a probability law; Normal, poisson, and related probability laws; Random variables; Expectat…
Inequalities and laws of large numbers; The central limit theorem; Invariance principles in the central limit theorem and law of the iterated logarithm; Limit theory for stationary processes via corresponding results for approximating martingales; Estimation of parameters from s…
Inequalities for multivariate normal distribution; Inequalities for other well-known distributions; Integral inequalities over a symmetric convex set; Inequalities via dependence association and mixture; Inequalities via majorization and weak majorization; Distribution-free ineq…
Now available in paperback, this celebrated book has been prepared with readers' needs in mind, remaining a systematic guide to a large part of the modern theory of Probability, whilst retaining its vitality. The authors' aim is to present the subject of Brownian motion not as a…
The authors' aim is to present the subject of Brownian motion not as a dry part of mathematical analysis, but to convey its real meaning and fascination. The opening, heuristic chapter does just this, and it is followed by a comprehensive and self-contained account of the founda…
This text is not just a presentation of mathematical theory, but also a discussion of why that theory takes its current form. It will be a secure starting point for anyone who needs to invoke rigorous probabilistic arguements and understand what they mean.
This text is not just a presentation of mathematical theory, but also a discussion of why that theory takes its current form. It will be a secure starting point for anyone who needs to invoke rigorous probabilistic arguements and understand what they mean.