Introduction to Probability
1850 Kč
Odesíláme do 1 až 2 týdnů
Sleva až 70% u třetiny knih
1. Experiments with random outcomes; 2. Conditional probability and independence; 3. Random variables; 4. Approximations of the binomial distribution; 5. Transforms and transformations; 6. Joint distribution of random variables; 7. Sums and symmetry; 8. Expectation and variance in the multivariate setting; 9. Tail bounds and limit theorems; 10. Conditional distribution; Appendix A. Things to know from calculus; Appendix B. Set notation and operations; Appendix C. Counting; Appendix D. Sums, products and series; Appendix E. Table of values for (x); Appendix F. Table of common probability distributions.
Autor: | Anderson, David F. |
Nakladatel: | Cambridge University Press |
Rok vydání: | 2017 |
Jazyk : | Angličtina |
Vazba: | Hardback |
Mohlo by se vám také líbit..
-
Computational Complexity
Arora, Sanjeev
-
Algebraic Topology
Hatcher, Allen
-
Convex Optimization
Boyd, Stephen P.
-
Prime Numbers and the Riemann Hypothesis
Mazur, Barry
-
Probability and Computing
Mitzenmacher, Michael
-
Introduction to Banach Spaces: Analys...
Li, Daniel
-
A Student's Guide to Vectors and...
Fleisch, Daniel A.
-
Optimization Methods in Finance
Cornuéjols, Gérard
-
Probability Theory
Jaynes, E. T.
-
Finite Volume Methods for Hyperbolic ...
LeVeque, Randall J.
-
Data Analysis Using Regression and Mu...
Gelman, Andrew
-
Multiple View Geometry in Computer Vi...
Hartley, Richard
-
A Student's Guide to Dimensional...
Lemons, Don S.
-
Algebraic Groups
Milne, J. S.
-
Algorithmic Game Theory
Nisan, Noam
-
A First Course in Quantitative Finance
Mazzoni, Thomas