A Course In Probability - Brossura

Weiss, Neil A.; Holmes, Paul T.; Hardy, Michael

Brossura

ISBN 10: 0201774712 ISBN 13: 9780201774719

Casa editrice: Pearson College Div, 2005

Riassunto

This text is intended primarily for readers interested in mathematical probability as applied to mathematics, statistics, operations research, engineering, and computer science. It is also appropriate for mathematically oriented readers in the physical and social sciences. Prerequisite material consists of basic set theory and a firm foundation in elementary calculus, including infinite series, partial differentiation, and multiple integration. Some exposure to rudimentary linear algebra (e.g., matrices and determinants) is also desirable. This text includes pedagogical techniques not often found in books at this level, in order to make the learning process smooth, efficient, and enjoyable.

 

KEY TOPICS: Fundamentals of Probability: Probability Basics. Mathematical Probability. Combinatorial Probability. Conditional Probability and Independence. Discrete Random Variables: Discrete Random Variables and Their Distributions. Jointly Discrete Random Variables. Expected Value of Discrete Random Variables. Continuous Random Variables: Continuous Random Variables and Their Distributions. Jointly Continuous Random Variables. Expected Value of Continuous Random Variables. Limit Theorems and Advanced Topics: Generating Functions and Limit Theorems. Additional Topics.

 

MARKET: For all readers interested in probability.

Dettagli dell'edizione

• Editore: Pearson College Div
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 0201774712
• ISBN 13: 9780201774719
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 608
• Contatto del produttore: non disponibile
• Persona responsabile: Pearson; riccardo.bacigalupo@sanoma.it; ; Sanoma Italia Via Arconati, 1 �; Milano; Italia