Cargando…

Probability Models

The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation. It describes how to set up and analyse models of real-life phenomena that involve elements of chance. Motivation comes from everyday experiences of probability, such as tha...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Haigh, John (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2013.
Edición:2nd ed. 2013.
Colección:Springer Undergraduate Mathematics Series,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-1-4471-5343-6
003 DE-He213
005 20220118184207.0
007 cr nn 008mamaa
008 130704s2013 xxk| s |||| 0|eng d
020 |a 9781447153436  |9 978-1-4471-5343-6 
024 7 |a 10.1007/978-1-4471-5343-6  |2 doi 
050 4 |a QA273.A1-274.9 
072 7 |a PBT  |2 bicssc 
072 7 |a PBWL  |2 bicssc 
072 7 |a MAT029000  |2 bisacsh 
072 7 |a PBT  |2 thema 
072 7 |a PBWL  |2 thema 
082 0 4 |a 519.2  |2 23 
100 1 |a Haigh, John.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Probability Models  |h [electronic resource] /  |c by John Haigh. 
250 |a 2nd ed. 2013. 
264 1 |a London :  |b Springer London :  |b Imprint: Springer,  |c 2013. 
300 |a XII, 287 p. 17 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Undergraduate Mathematics Series,  |x 2197-4144 
505 0 |a Probability Spaces -- Conditional Probability and Independence -- Common Probability Distributions -- Random Variables -- Sums of Random Variables -- Convergence and Limit Theorems -- Stochastic Processes in Discrete Time -- Stochastic Processes in Continuous Time -- Appendix: Common Distributions and Mathematical Facts. 
520 |a The purpose of this book is to provide a sound introduction to the study of real-world phenomena that possess random variation. It describes how to set up and analyse models of real-life phenomena that involve elements of chance. Motivation comes from everyday experiences of probability, such as that of a dice or cards, the idea of fairness in games of chance, and the random ways in which, say, birthdays are shared or particular events arise. Applications include branching processes, random walks, Markov chains, queues, renewal theory, and Brownian motion. This popular second edition textbook contains many worked examples and several chapters have been updated and expanded. Some mathematical knowledge is assumed. The reader should have the ability to work with unions, intersections and complements of sets; a good facility with calculus, including integration, sequences and series; and appreciation of the logical development of an argument. Probability Models< is designed to aid students studying probability as part of an undergraduate course on mathematics or mathematics and statistics. 
650 0 |a Probabilities. 
650 0 |a Computer simulation. 
650 0 |a Computer science-Mathematics. 
650 0 |a Mathematical statistics. 
650 0 |a Operations research. 
650 0 |a Mathematical physics. 
650 1 4 |a Probability Theory. 
650 2 4 |a Computer Modelling. 
650 2 4 |a Probability and Statistics in Computer Science. 
650 2 4 |a Operations Research and Decision Theory. 
650 2 4 |a Mathematical Applications in Computer Science. 
650 2 4 |a Mathematical Physics. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781447153443 
776 0 8 |i Printed edition:  |z 9781447153429 
830 0 |a Springer Undergraduate Mathematics Series,  |x 2197-4144 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-1-4471-5343-6  |z Texto Completo 
912 |a ZDB-2-SMA 
912 |a ZDB-2-SXMS 
950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713)