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Most popular at the top
- Springer New York 2007; US$ 169.00
The goal of this book is to introduce statisticians, and other researchers with a background in mathematical statistics, to empirical processes and semiparametric inference. These powerful research techniques are surpr- ingly useful for studying large sample properties of statistical estimates from realistically complex models as well as for developing... more...
- De Gruyter 2008; US$ 252.00
This book is devoted to the mathematical studies of stochastic systems with quasi-stationary phenomena which have applications to population dynamics or epidemic models. In addition to its use for the research and reference purposes, the book can also be used in special courses on the subject and as a complementary reading in general courses... more...
- Oxford University Press, UK 2008; US$ 98.99
Stochastic filtering theory is a field that has seen a rapid development in recent years and this book, aimed at graduates and researchers in applied mathematics, provides an accessible introduction covering recent developments. - ;Stochastic Filtering Theory uses probability tools to estimate unobservable stochastic processes that arise in many applied... more...
- Wiley 2008; US$ 96.00
“Well-written, this book is suitable as a textbook for teaching a postgraduate course on applied Markov processes.” ( Mathmatical Assoc of America , June 2009) "It does provide a good introduction to each of the five application areas." ( Mathematical Reviews, July 2010) more...
- Oxford University Press, UK 2005; US$ 64.99
Neil Shephard has brought together a set of classic and central papers that have contributed to our understanding of financial volatility. They cover stocks, bonds and currencies and range from 1973 up to 2001. Shephard, a leading researcher in the field, provides a substantial introduction in which he discusses all major issues involved. General Introduction... more...
- Wiley 2009; US$ 144.00
A timely and comprehensive treatment of random field theory with applications across diverse areas of study Level Sets and Extrema of Random Processes and Fields discusses how to understand the properties of the level sets of paths as well as how to compute the probability distribution of its extremal values, which are two general classes of problems... more...
- Presses de l''niversite du Quebec 2001; US$ 24.00
L'univers de l'homme moderne, si pétri de rationalisme, si environné de technologies et d'artéfacts rassurants, est néanmoins imprégné de hasard, davantage que ne l'était celui de ses ancêtres. L'auteur traite des séries de nombres aléatoires, de leurs propriétés, leur... more...
- Elsevier Science 2010; US$ 77.95
Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come either as random forces/sources, or advecting velocities, or media (material) parameters, like refraction index, conductivity, diffusivity, etc. Models naturally render to statistical description, where random processes and fields express the input parameters... more...
- Wiley 2013; US$ 145.00
This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as their particular cases: Poisson, renewal processes, branching processes, Ehrenfest... more...
- Wiley 2011; US$ 146.00
A mathematical and intuitive approach to probability, statistics, and stochastic processes This textbook provides a unique, balanced approach to probability, statistics, and stochastic processes. Readers gain a solid foundation in all three fields that serves as a stepping stone to more advanced investigations into each area. This text combines... more...