ISBN: 9781621002499 - probability: interpretation, theory and applications: interpretation, theory & applications (mathematics research developments) (9 Ergebnisse)

Hardcover. Zustand: Brand New. uk ed. edition. 369 pages. 10.00x7.00x1.00 inches. In Stock.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. Idioma/Language: Inglés. This book is a collective work made by various authors well-recognised owing to their appreciable contributions to the theory and applications of probability. Both mathematical and engineering aspects of probability outline its framework. Readers can find here several timely topics such as risk theory and applications, Laplace distributions which describe the heavy-tailed noise, Poisson sums having applications in business and engineering, Markov chains investigations and approximations, Berstein-Hoeffding-type exponential inequalities useful for proving limiting theorems, Bayesian computational methods, as well as a modern view on sampling and reconstruction of Gaussian and non-Gaussian random processes. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.…

Zustand: As New. Unread book in perfect condition.

Zustand: New. Editor(s): Shmaliy, Yuriy S. Num Pages: 369 pages, Illustrations. BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 256 x 176 x 26. Weight in Grams: 854. . 2011. Hardcover. . . . . Books ship from the US and Ireland.

Gebunden. Zustand: New. KlappentextrnrnThis book is a collective work made by various authors well-recognised owing to their appreciable contributions to the theory and applications of probability. Both mathematical and engineering aspects of probability outline its fr.

Buch. Zustand: Neu. Neuware - This book is a collective work made by various authors well-recognised owing to their appreciable contributions to the theory and applications of probability. Both mathematical and engineering aspects of probability outline its framework. Readers can find here several timely topics such as risk theory and applications, Laplace distributions which describe the heavy-tailed noise, Poisson sums having applications in business and engineering, Markov chains investigations and approximations, Berstein-Hoeffding-type exponential inequalities useful for proving limiting theorems, Bayesian computational methods, as well as a modern view on sampling and reconstruction of Gaussian and non-Gaussian random processes.…