Foundations of Quantitative Finance Book II: Probability Spaces and Random Variables
portes grátis
Foundations of Quantitative Finance Book II: Probability Spaces and Random Variables
Reitano, Robert R.
Taylor & Francis Ltd
12/2022
257
Mole
Inglês
9781032197173
15 a 20 dias
508
Descrição não disponível.
Preface. Introduction. 1. Probability Spaces. 2. Limit Theorems on Measurable Sets. 3. Random Variables and Distribution Functions. 4. Samples of Random Variables. 5. Limit Theorems for Random Variable Sequences. 6. Distribution Functions and Borel Measures. 7. Copulas and Sklar's Theorem. 8. Weak Convergence of Distribution Functions. 9. Estimating Tail Events. References. Index.
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advanced mathematics;finance for professionals;mathematical theories;10 book series;math theories;Sigma Algebra;Probability Space;Distribution Functions;Borel Sigma Algebra;Borel Measures;Joint Distribution Function;Borel Cantelli Lemma;Unique Probability Measure;Book III;Finite Borel Measures;Inclusion Exclusion Formula;Countable Collection;Finite Additivity;Finite Disjoint Unions;Conditional Distribution Functions;Mutually Independent;Nested Collection;Probability Measure;Independent Sets
Preface. Introduction. 1. Probability Spaces. 2. Limit Theorems on Measurable Sets. 3. Random Variables and Distribution Functions. 4. Samples of Random Variables. 5. Limit Theorems for Random Variable Sequences. 6. Distribution Functions and Borel Measures. 7. Copulas and Sklar's Theorem. 8. Weak Convergence of Distribution Functions. 9. Estimating Tail Events. References. Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
advanced mathematics;finance for professionals;mathematical theories;10 book series;math theories;Sigma Algebra;Probability Space;Distribution Functions;Borel Sigma Algebra;Borel Measures;Joint Distribution Function;Borel Cantelli Lemma;Unique Probability Measure;Book III;Finite Borel Measures;Inclusion Exclusion Formula;Countable Collection;Finite Additivity;Finite Disjoint Unions;Conditional Distribution Functions;Mutually Independent;Nested Collection;Probability Measure;Independent Sets
