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Biblioteca

MARC Lista (tabellare)
Probability, random processes, and statistical analysis / / Hisashi Kobayashi, Brian L. Mark, William Turin [[electronic resource]]
Probability, random processes, and statistical analysis / / Hisashi Kobayashi, Brian L. Mark, William Turin [[electronic resource]]
Autore Kobayashi Hisashi
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2012
Descrizione fisica 1 online resource (xxxi, 780 pages) : digital, PDF file(s)
Disciplina 519.2/2
Soggetto topico Stochastic analysis
ISBN 1-139-17959-4
1-316-08837-5
1-283-38246-6
9786613382467
1-139-18930-1
0-511-97777-8
1-139-18800-3
1-139-19060-1
1-139-18338-9
1-139-18569-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine generated contents note: 1. Introduction; Part I. Probability, Random Variables and Statistics: 2. Probability; 3. Discrete random variables; 4. Continuous random variables; 5. Functions of random variables and their distributions; 6. Fundamentals of statistical analysis; 7. Distributions derived from the normal distribution; Part II. Transform Methods, Bounds and Limits: 8. Moment generating function and characteristic function; 9. Generating function and Laplace transform; 10. Inequalities, bounds and large deviation approximation; 11. Convergence of a sequence of random variables, and the limit theorems; Part III. Random Processes: 12. Random process; 13. Spectral representation of random processes and time series; 14. Poisson process, birth-death process, and renewal process; 15. Discrete-time Markov chains; 16. Semi-Markov processes and continuous-time Markov chains; 17. Random walk, Brownian motion, diffusion and it's processes; Part IV. Statistical Inference: 18. Estimation and decision theory; 19. Estimation algorithms; Part V. Applications and Advanced Topics: 20. Hidden Markov models and applications; 21. Probabilistic models in machine learning; 22. Filtering and prediction of random processes; 23. Queuing and loss models.
Altri titoli varianti Probability, Random Processes, & Statistical Analysis
Record Nr. UNINA-9910458052703321
Kobayashi Hisashi  
Cambridge : , : Cambridge University Press, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probability, random processes, and statistical analysis / / Hisashi Kobayashi, Brian L. Mark, William Turin [[electronic resource]]
Probability, random processes, and statistical analysis / / Hisashi Kobayashi, Brian L. Mark, William Turin [[electronic resource]]
Autore Kobayashi Hisashi
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2012
Descrizione fisica 1 online resource (xxxi, 780 pages) : digital, PDF file(s)
Disciplina 519.2/2
Soggetto topico Stochastic analysis
ISBN 1-139-17959-4
1-316-08837-5
1-283-38246-6
9786613382467
1-139-18930-1
0-511-97777-8
1-139-18800-3
1-139-19060-1
1-139-18338-9
1-139-18569-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine generated contents note: 1. Introduction; Part I. Probability, Random Variables and Statistics: 2. Probability; 3. Discrete random variables; 4. Continuous random variables; 5. Functions of random variables and their distributions; 6. Fundamentals of statistical analysis; 7. Distributions derived from the normal distribution; Part II. Transform Methods, Bounds and Limits: 8. Moment generating function and characteristic function; 9. Generating function and Laplace transform; 10. Inequalities, bounds and large deviation approximation; 11. Convergence of a sequence of random variables, and the limit theorems; Part III. Random Processes: 12. Random process; 13. Spectral representation of random processes and time series; 14. Poisson process, birth-death process, and renewal process; 15. Discrete-time Markov chains; 16. Semi-Markov processes and continuous-time Markov chains; 17. Random walk, Brownian motion, diffusion and it's processes; Part IV. Statistical Inference: 18. Estimation and decision theory; 19. Estimation algorithms; Part V. Applications and Advanced Topics: 20. Hidden Markov models and applications; 21. Probabilistic models in machine learning; 22. Filtering and prediction of random processes; 23. Queuing and loss models.
Altri titoli varianti Probability, Random Processes, & Statistical Analysis
Record Nr. UNINA-9910781947603321
Kobayashi Hisashi  
Cambridge : , : Cambridge University Press, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probability, random processes, and statistical analysis / / Hisashi Kobayashi, Brian L. Mark, William Turin [[electronic resource]]
Probability, random processes, and statistical analysis / / Hisashi Kobayashi, Brian L. Mark, William Turin [[electronic resource]]
Autore Kobayashi Hisashi
Pubbl/distr/stampa Cambridge : , : Cambridge University Press, , 2012
Descrizione fisica 1 online resource (xxxi, 780 pages) : digital, PDF file(s)
Disciplina 519.2/2
Soggetto topico Stochastic analysis
ISBN 1-139-17959-4
1-316-08837-5
1-283-38246-6
9786613382467
1-139-18930-1
0-511-97777-8
1-139-18800-3
1-139-19060-1
1-139-18338-9
1-139-18569-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Machine generated contents note: 1. Introduction; Part I. Probability, Random Variables and Statistics: 2. Probability; 3. Discrete random variables; 4. Continuous random variables; 5. Functions of random variables and their distributions; 6. Fundamentals of statistical analysis; 7. Distributions derived from the normal distribution; Part II. Transform Methods, Bounds and Limits: 8. Moment generating function and characteristic function; 9. Generating function and Laplace transform; 10. Inequalities, bounds and large deviation approximation; 11. Convergence of a sequence of random variables, and the limit theorems; Part III. Random Processes: 12. Random process; 13. Spectral representation of random processes and time series; 14. Poisson process, birth-death process, and renewal process; 15. Discrete-time Markov chains; 16. Semi-Markov processes and continuous-time Markov chains; 17. Random walk, Brownian motion, diffusion and it's processes; Part IV. Statistical Inference: 18. Estimation and decision theory; 19. Estimation algorithms; Part V. Applications and Advanced Topics: 20. Hidden Markov models and applications; 21. Probabilistic models in machine learning; 22. Filtering and prediction of random processes; 23. Queuing and loss models.
Altri titoli varianti Probability, Random Processes, & Statistical Analysis
Record Nr. UNINA-9910829005603321
Kobayashi Hisashi  
Cambridge : , : Cambridge University Press, , 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui