Probability Theory
portes grátis
Probability Theory
An Introduction Using R
Deshmukh, Shailaja R.; Kashikar, Akanksha S.
Taylor & Francis Ltd
08/2024
596
Dura
9781032617978
15 a 20 dias
Descrição não disponível.
1. Sigma Field, Borel Field and Probability Measure 2. Random Variables and Random Vectors 3. Distribution Function 4. Expectation and Characteristic Function 5. Independence 6. Almost Sure Convergence and Borel Zero-One Law 7. Convergence in Probability, in Law and in r-th Mean 8. Convergence of a Sequence of Expectations 9. Laws of Large Numbers 10. Central Limit Theorem 11. Solutions to Conceptual Exercises 12. Bibliography 13. Index
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Sigma field;Measurable space;Borel field;probability measure;probability space;random variable as a measurable function;random vector as a measurable function;Sequence of random variables;Induced sigma fields;Borel function
1. Sigma Field, Borel Field and Probability Measure 2. Random Variables and Random Vectors 3. Distribution Function 4. Expectation and Characteristic Function 5. Independence 6. Almost Sure Convergence and Borel Zero-One Law 7. Convergence in Probability, in Law and in r-th Mean 8. Convergence of a Sequence of Expectations 9. Laws of Large Numbers 10. Central Limit Theorem 11. Solutions to Conceptual Exercises 12. Bibliography 13. Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
