ISBN: 9781009179911 - a second course in probability (16 resultados)

Paperback. Condición: Good. The second edition of this popular text explores advanced topics in probability while keeping mathematical prerequisites to a minimum. With copious exercises and examples, it is an ideal guide for graduate students and professionals in application domains that depend on probability, including operations research, finance and machine learning.…

Paperback. Condición: Good. The second edition of this popular text explores advanced topics in probability while keeping mathematical prerequisites to a minimum. With copious exercises and examples, it is an ideal guide for graduate students and professionals in application domains that depend on probability, including operations research, finance and machine learning.…

Paperback. Condición: Good. Book in Good condition.

Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. 2nd edition NO-PA16APR2015-KAP.

Condición: New.

Soft cover. Condición: New. 2nd Edition.

Paperback. Condición: new. Paperback. Written by Sheldon Ross and Erol Pekoez, this text familiarises you with advanced topics in probability while keeping the mathematical prerequisites to a minimum. Topics covered 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 topics rigorously but at such an accessible level - all you need is an undergraduate-level understanding of calculus and probability. New to this edition are sections on the gambler's ruin problem, Stein's method as applied to exponential approximations, and applications of the martingale stopping theorem. Extra end-of-chapter exercises have also been added, with selected solutions available.This is an ideal textbook for students taking an advanced undergraduate or graduate course in probability. It also represents a useful resource for professionals in relevant application domains, from finance to machine learning. The second edition of this popular text explores advanced topics in probability while keeping mathematical prerequisites to a minimum. With copious exercises and examples, it is an ideal guide for graduate students and professionals in application domains that depend on probability, including operations research, finance and machine learning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Paperback. Condición: new. Paperback. Written by Sheldon Ross and Erol Pekoez, this text familiarises you with advanced topics in probability while keeping the mathematical prerequisites to a minimum. Topics covered 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 topics rigorously but at such an accessible level - all you need is an undergraduate-level understanding of calculus and probability. New to this edition are sections on the gambler's ruin problem, Stein's method as applied to exponential approximations, and applications of the martingale stopping theorem. Extra end-of-chapter exercises have also been added, with selected solutions available.This is an ideal textbook for students taking an advanced undergraduate or graduate course in probability. It also represents a useful resource for professionals in relevant application domains, from finance to machine learning. The second edition of this popular text explores advanced topics in probability while keeping mathematical prerequisites to a minimum. With copious exercises and examples, it is an ideal guide for graduate students and professionals in application domains that depend on probability, including operations research, finance and machine learning. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …