Introduction to Mathematical Probability Theory
Detalles de publicación: U.S.A : Prentice Hall, 1969Descripción: 535 páginasISBN:- fcnm1641
- 519.2I/E34
Contenidos:
1.Finite probability spaces. 2.Random variables and combinations of events. 3.Dependence and independence. 4.Some elementary limit theorems. 5.Infinite probability spaces. 6.Theory of measure. 7.Integration. 8.Probability and measure. 9.Distributions and moments. 10.Characteristic functions. 11.Independence. 12.Series of independent random variables. 13.Limit theorems for sums of independent random variables.
| Tipo de ítem | Biblioteca actual | Signatura topográfica | Estado | Notas | Código de barras | |
|---|---|---|---|---|---|---|
| Libro | Biblioteca Especializada FCNM Tercer Piso | 519.2I/E34 (Navegar estantería(Abre debajo)) | Disponible | Externo | FCNM2763 |
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| 519.2I/A38 Introductión to Probability and Statistics | 519.2I/A78/N.1 Theory of Probability and its Applications Volume IV number 1 | 519.2I/A78/N.3 Theory of Probability and its Applications Volume IV Number 3 | 519.2I/E34 Introduction to Mathematical Probability Theory | 519.2I/H56 Probability and Statistics in engineering and Management Science | 519.2I/K23 A Firts Course in Stochastic Processes | 519.2I/K34 Introduction to Statistical Inference |
1.Finite probability spaces. 2.Random variables and combinations of events. 3.Dependence and independence. 4.Some elementary limit theorems. 5.Infinite probability spaces. 6.Theory of measure. 7.Integration. 8.Probability and measure. 9.Distributions and moments. 10.Characteristic functions. 11.Independence. 12.Series of independent random variables. 13.Limit theorems for sums of independent random variables.
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