Stochastic Processes and their Applications:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Ashland :
Arcler Press,
2019.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 online resource (255 pages) |
| ISBN: | 1773615807 9781773615806 |
Internformat
MARC
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| 003 | OCoLC | ||
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| 100 | 1 | |a Stanimirović, Ivan. | |
| 245 | 1 | 0 | |a Stochastic Processes and their Applications |
| 260 | |a Ashland : |b Arcler Press, |c 2019. | ||
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| 505 | 0 | |a Cover; Half Title Page; Title Page; Copyright Page; About the Author; Table of Contents; List of Figures; List of Tables; Preface; Chapter 1 Stochastic Processes, Markov Chains and Continuous-Time Applications; 1.1. Introduction; 1.2. Preliminary Results; Chapter 2 Poisson Processes; 2.1. Punctual Processes; 2.2. Poisson Processes Definition; 2.3. Definition Form of a Point Process; 2.4. Properties; 2.5. Main Results; 2.6. Determining The Ordering; 2.7. Alternative Definitions of Poisson Processes; 2.8. Poisson Processes In Two or More Dimensions; 2.9. Projections; 2.10. Poisson Process | |
| 505 | 8 | |a 2.11. Processes Which Are Not HomogenousChapter 3 Markov Chains In Continuous Time; 3.1. Pure Markov Processes; 3.2 Properties; 3.3. Explosions; 3.4 Kolmogorov Equations; 3.5. Classification of States And Invariant Measures; 3.6. Skeleton Process; 3.7. Birth And Death Processes; Chapter 4 Applications In Biology; 4.1. Modeling The Growing Populations; Chapter 5 Network Analysis Modeled With Stochastic Processes; 5.1. Introduction; 5.2. Statement of The Problem; 5.3. Justification of Using Stochastic Processes; 5.4. The Objectives; 5.5. Theoretical Framework; 5.6. Time Series Models | |
| 505 | 8 | |a 5.7. Stochastic Processes5.8. Entropy as a Measure of Information; 5.9. Markov Chains In Continuous Time: Liability of a Multiprocessor; 5.10. Queuing; 5.11. Queue Networks; 5.12. Experiment Design; 5.13. Simulation Experiment; 5.14. Experimental Results; 5.15. General Analysis System; 5.16. Design of The Optimization Model; 5.17. Optimization Model; 5.18. Model Solution; 5.19. Tool Design; Chapter 6 Stochastic Modeling And Simulation; 6.1. Counting Processes; 6.2. Theory of Tails; 6.3. Variations Model M/G/1; Appendixs; Conclusions; Bibliography; Index | |
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| 650 | 2 | |a Stochastic Processes |0 https://id.nlm.nih.gov/mesh/D013269 | |
| 650 | 6 | |a Processus stochastiques. | |
| 650 | 7 | |a Stochastic processes |2 fast | |
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| author | Stanimirović, Ivan |
| author_facet | Stanimirović, Ivan |
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| contents | Cover; Half Title Page; Title Page; Copyright Page; About the Author; Table of Contents; List of Figures; List of Tables; Preface; Chapter 1 Stochastic Processes, Markov Chains and Continuous-Time Applications; 1.1. Introduction; 1.2. Preliminary Results; Chapter 2 Poisson Processes; 2.1. Punctual Processes; 2.2. Poisson Processes Definition; 2.3. Definition Form of a Point Process; 2.4. Properties; 2.5. Main Results; 2.6. Determining The Ordering; 2.7. Alternative Definitions of Poisson Processes; 2.8. Poisson Processes In Two or More Dimensions; 2.9. Projections; 2.10. Poisson Process 2.11. Processes Which Are Not HomogenousChapter 3 Markov Chains In Continuous Time; 3.1. Pure Markov Processes; 3.2 Properties; 3.3. Explosions; 3.4 Kolmogorov Equations; 3.5. Classification of States And Invariant Measures; 3.6. Skeleton Process; 3.7. Birth And Death Processes; Chapter 4 Applications In Biology; 4.1. Modeling The Growing Populations; Chapter 5 Network Analysis Modeled With Stochastic Processes; 5.1. Introduction; 5.2. Statement of The Problem; 5.3. Justification of Using Stochastic Processes; 5.4. The Objectives; 5.5. Theoretical Framework; 5.6. Time Series Models 5.7. Stochastic Processes5.8. Entropy as a Measure of Information; 5.9. Markov Chains In Continuous Time: Liability of a Multiprocessor; 5.10. Queuing; 5.11. Queue Networks; 5.12. Experiment Design; 5.13. Simulation Experiment; 5.14. Experimental Results; 5.15. General Analysis System; 5.16. Design of The Optimization Model; 5.17. Optimization Model; 5.18. Model Solution; 5.19. Tool Design; Chapter 6 Stochastic Modeling And Simulation; 6.1. Counting Processes; 6.2. Theory of Tails; 6.3. Variations Model M/G/1; Appendixs; Conclusions; Bibliography; Index |
| ctrlnum | (OCoLC)1085161487 |
| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-on1085161487 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:29:21Z |
| institution | BVB |
| isbn | 1773615807 9781773615806 |
| language | English |
| oclc_num | 1085161487 |
| open_access_boolean | |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (255 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Arcler Press, |
| record_format | marc |
| spelling | Stanimirović, Ivan. Stochastic Processes and their Applications Ashland : Arcler Press, 2019. 1 online resource (255 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. Cover; Half Title Page; Title Page; Copyright Page; About the Author; Table of Contents; List of Figures; List of Tables; Preface; Chapter 1 Stochastic Processes, Markov Chains and Continuous-Time Applications; 1.1. Introduction; 1.2. Preliminary Results; Chapter 2 Poisson Processes; 2.1. Punctual Processes; 2.2. Poisson Processes Definition; 2.3. Definition Form of a Point Process; 2.4. Properties; 2.5. Main Results; 2.6. Determining The Ordering; 2.7. Alternative Definitions of Poisson Processes; 2.8. Poisson Processes In Two or More Dimensions; 2.9. Projections; 2.10. Poisson Process 2.11. Processes Which Are Not HomogenousChapter 3 Markov Chains In Continuous Time; 3.1. Pure Markov Processes; 3.2 Properties; 3.3. Explosions; 3.4 Kolmogorov Equations; 3.5. Classification of States And Invariant Measures; 3.6. Skeleton Process; 3.7. Birth And Death Processes; Chapter 4 Applications In Biology; 4.1. Modeling The Growing Populations; Chapter 5 Network Analysis Modeled With Stochastic Processes; 5.1. Introduction; 5.2. Statement of The Problem; 5.3. Justification of Using Stochastic Processes; 5.4. The Objectives; 5.5. Theoretical Framework; 5.6. Time Series Models 5.7. Stochastic Processes5.8. Entropy as a Measure of Information; 5.9. Markov Chains In Continuous Time: Liability of a Multiprocessor; 5.10. Queuing; 5.11. Queue Networks; 5.12. Experiment Design; 5.13. Simulation Experiment; 5.14. Experimental Results; 5.15. General Analysis System; 5.16. Design of The Optimization Model; 5.17. Optimization Model; 5.18. Model Solution; 5.19. Tool Design; Chapter 6 Stochastic Modeling And Simulation; 6.1. Counting Processes; 6.2. Theory of Tails; 6.3. Variations Model M/G/1; Appendixs; Conclusions; Bibliography; Index Stochastic processes. http://id.loc.gov/authorities/subjects/sh85128181 Stochastic Processes https://id.nlm.nih.gov/mesh/D013269 Processus stochastiques. Stochastic processes fast has work: Stochastic Processes and their Applications (Text) https://id.oclc.org/worldcat/entity/E39PCGhRyc7DKY4vXYYWCCTdV3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Stanimirovic, Ivan. Stochastic Processes and their Applications. Ashland : Arcler Press, ©2019 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2013891 Volltext |
| spellingShingle | Stanimirović, Ivan Stochastic Processes and their Applications Cover; Half Title Page; Title Page; Copyright Page; About the Author; Table of Contents; List of Figures; List of Tables; Preface; Chapter 1 Stochastic Processes, Markov Chains and Continuous-Time Applications; 1.1. Introduction; 1.2. Preliminary Results; Chapter 2 Poisson Processes; 2.1. Punctual Processes; 2.2. Poisson Processes Definition; 2.3. Definition Form of a Point Process; 2.4. Properties; 2.5. Main Results; 2.6. Determining The Ordering; 2.7. Alternative Definitions of Poisson Processes; 2.8. Poisson Processes In Two or More Dimensions; 2.9. Projections; 2.10. Poisson Process 2.11. Processes Which Are Not HomogenousChapter 3 Markov Chains In Continuous Time; 3.1. Pure Markov Processes; 3.2 Properties; 3.3. Explosions; 3.4 Kolmogorov Equations; 3.5. Classification of States And Invariant Measures; 3.6. Skeleton Process; 3.7. Birth And Death Processes; Chapter 4 Applications In Biology; 4.1. Modeling The Growing Populations; Chapter 5 Network Analysis Modeled With Stochastic Processes; 5.1. Introduction; 5.2. Statement of The Problem; 5.3. Justification of Using Stochastic Processes; 5.4. The Objectives; 5.5. Theoretical Framework; 5.6. Time Series Models 5.7. Stochastic Processes5.8. Entropy as a Measure of Information; 5.9. Markov Chains In Continuous Time: Liability of a Multiprocessor; 5.10. Queuing; 5.11. Queue Networks; 5.12. Experiment Design; 5.13. Simulation Experiment; 5.14. Experimental Results; 5.15. General Analysis System; 5.16. Design of The Optimization Model; 5.17. Optimization Model; 5.18. Model Solution; 5.19. Tool Design; Chapter 6 Stochastic Modeling And Simulation; 6.1. Counting Processes; 6.2. Theory of Tails; 6.3. Variations Model M/G/1; Appendixs; Conclusions; Bibliography; Index Stochastic processes. http://id.loc.gov/authorities/subjects/sh85128181 Stochastic Processes https://id.nlm.nih.gov/mesh/D013269 Processus stochastiques. Stochastic processes fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85128181 https://id.nlm.nih.gov/mesh/D013269 |
| title | Stochastic Processes and their Applications |
| title_auth | Stochastic Processes and their Applications |
| title_exact_search | Stochastic Processes and their Applications |
| title_full | Stochastic Processes and their Applications |
| title_fullStr | Stochastic Processes and their Applications |
| title_full_unstemmed | Stochastic Processes and their Applications |
| title_short | Stochastic Processes and their Applications |
| title_sort | stochastic processes and their applications |
| topic | Stochastic processes. http://id.loc.gov/authorities/subjects/sh85128181 Stochastic Processes https://id.nlm.nih.gov/mesh/D013269 Processus stochastiques. Stochastic processes fast |
| topic_facet | Stochastic processes. Stochastic Processes Processus stochastiques. Stochastic processes |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2013891 |
| work_keys_str_mv | AT stanimirovicivan stochasticprocessesandtheirapplications |