Mathematics probability par daniel stroock (16 résultats)

Soft cover. Etat : New. Contents: Preface. 1. Some background and preliminaries. 2. Probability theory on uncountable sample spaces. 3. Some applications to probability theory. 4. The central limit theorem and Gaussian distributions. 5. Discrete parameter stochastic processes. 6. Some continuous-time processes. 7. Martingales. 8. Notation. Bibliography. Index. This book covers the basics of modern probability theory. It begins with probability theory on finite and countable sample spaces and then passes from there to a concise course on measure theory, which is followed by some initial applications to probability theory, including independence and conditional expectations. The second half of the book deals with Gaussian random variables, with Markov chains, with a few continuous parameter processes, including Brownian motion, and, finally, with martingales, both discrete and continuous parameter ones. The book is a self-contained introduction to probability theory and the measure theory required to study it.…

Hardcover. Etat : Brand New. 284 pages. 10.20x7.00x0.80 inches. In Stock.

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

Etat : New. Series: Graduate Studies in Mathematics. Num Pages: 284 pages, illustrations. BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 258 x 184 x 20. Weight in Grams: 678. . 2013. . . . .

Etat : New.

Hardback. Etat : New. This book covers the basics of modern probability theory. It begins with probability theory on finite and countable sample spaces and then passes from there to a concise course on measure theory, which is followed by some initial applications to probability theory, including independence and conditional expectations. The second half of the book deals with Gaussian random variables, with Markov chains, with a few continuous parameter processes, including Brownian motion, and, finally, with martingales, both discrete and continuous parameter ones. The book is a self-contained introduction to probability theory and the measure theory required to study it.…

Etat : Sehr gut. Zustand: Sehr gut | Seiten: 284 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Etat : New. Series: Graduate Studies in Mathematics. Num Pages: 284 pages, illustrations. BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 258 x 184 x 20. Weight in Grams: 678. . 2013. . . . . Books ship from the US and Ireland.

Etat : As New. Unread book in perfect condition.

Etat : New.

Hardback. Etat : New. New copy - Usually dispatched within 4 working days.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New. In English.

Buch. Etat : Neu. Neuware.

Hardback. Etat : New. This book covers the basics of modern probability theory. It begins with probability theory on finite and countable sample spaces and then passes from there to a concise course on measure theory, which is followed by some initial applications to probability theory, including independence and conditional expectations. The second half of the book deals with Gaussian random variables, with Markov chains, with a few continuous parameter processes, including Brownian motion, and, finally, with martingales, both discrete and continuous parameter ones. The book is a self-contained introduction to probability theory and the measure theory required to study it.…