The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The ed…
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Analysis of genetic association studies
by Zheng, Gang
fromStatistics for biology and health
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This book is intended for graduate students in statistics and industrial mathematics, as well as researchers and practitioners in the field. We cover both theory and practice of nonparametric estimation. The text is novel in its use of maximum penalized likelihood estimation, an…
This book chronicles Donald Burkholder's thirty-five year study of martingales and its consequences. Here are some of the highlights. Pioneering work by Burkholder and Donald Austin on the discrete time martingale square function led to Burkholder and Richard Gundy's proof of in…
The book concerns the notion of association in probability and statistics. Association and some other positive dependence notions were introduced in 1966 and 1967 but received little attention from the probabilistic and statistics community. The interest in these dependence noti…
Il volume espone, nella prima parte, la teoria delle decisioni in condizioni di incertezza nelle sue linee generali, senza fare riferimento a contesti applicativi specifici. Nella seconda parte vengono presentati i concetti principali della teoria dell'inferenza statistica, incl…
Il volume espone, nella prima parte, la teoria delle decisioni in condizioni di incertezza nelle sue linee generali, senza fare riferimento a contesti applicativi specifici. Nella seconda parte vengono presentati i concetti principali della teoria dell'inferenza statistica, incl…
Modern issues and methods in biostatistics
by Chang, Mark
fromStatistics for biology and health
Solving differential equations in R
by Soetaert, Karline, Cash, J. R., Mazzia, Francesca
fromUse R!
As the recent collapse on Wall Street shows, we are often ill-equipped to deal with uncertainty and risk. Yet every day we base our personal and business plans on uncertainties, whether they be next month’s sales, next year’s costs, or tomorrow’s stock price. The Flaw of Average…
Many research studies in the social and economic fields regard the collection and analysis of large amounts of data. These data sets vary in their nature and complexity, they may be one-off or repeated, they may be hierarchical, spatial or temporal. Examples include textual data…
This book is for a first course in stochastic processes taken by undergraduates or master's students who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and mathematical finance.…