Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.

Zistiť stav objednávky

Staňte sa súčasťou komunity milovníkov kníh z celého sveta a získajte hromadu výhod. Založiť účet zdarma

Doprava zadarmo s Packetou nad 59.99 €

Kuriér DPD 2.99 € Zberné miesto GLS 2.99 € SPS 3.99 € Kuriér GLS 3.49 € SPS Parcel Shop 2.99 € Packeta kurýr 3.99 € Pošta 3.99 € Zberné miesto DPD 2.99 € Zberné miesto DPD 0.00 € Packeta 2.99 €

Kontakt

Ako nakupovať

Pomoc

Môj účet

▸ Prázdny :-(

Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.

Second Course in Probability

Name: Second Course in Probability
Brand: Pekozbooks
SKU: 07429418
Price: 81.12 EUR
Availability: InStock
Author: Erol A Pekoz
ISBN: 9780979570407

Erol A Pekoz

Jazyk

Angličtina

Kniha Pevná

Libristo kód: 07429418

Nakladateľstvo Pekozbooks, máj 2007

The 2006 INFORMS Expository Writing Award-winning and best-selling author Sheldon Ross (University o... Celý popis

Libristo kód: 07429418

196 b

81.12 €

Skladom u dodávateľa Odosielame za 10-18 dní

30 dní na vrátenie tovaru

Zákazníci tiež kúpili

Sozialpädagogische Erziehungsstellen Lukas Hartnig

Brožovaná

69.06 €

Jugendarbeit ALS Beruf Benno Hafeneger

Brožovaná

37.87 €

Irlanda : una nación en busca de su identidad Luis Antonio Sierra Gómez

Brožovaná

35.03 €

The 2006 INFORMS Expository Writing Award-winning and best-selling author Sheldon Ross (University of Southern California) teams up with Erol Peköz (Boston University) to bring you this textbook for undergraduate and graduate students in statistics, mathematics, engineering, finance, and actuarial science. This is a guided tour designed to give familiarity with advanced topics in probability without having to wade through the exhaustive coverage of the classic advanced probability theory books. Topics include measure theory, limit theorems, bounding probabilities and expectations, coupling and Stein's method, martingales, Markov chains, renewal theory, and Brownian motion. No other text covers all these advanced topics rigorously but at such an accessible level; all you need is calculus and material from a first undergraduate course in probability.