Probability for Applications:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1990
|
| Schriftenreihe: | Springer Texts in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Objectives. As the title suggests, this book provides an introduction to probability designed to prepare the reader for intelligent and resourceful applications in a variety of fields. Its goal is to provide a careful exposition of those concepts, interpretations, and analytical techniques needed for the study of such topics as statistics, introductory random processes, statistical communications and control, operations research, or various topics in the behavioral and social sciences. Also, the treatment should provide a background for more advanced study of mathematical probability or mathematical statistics. The level of preparation assumed is indicated by the fact that the book grew out of a first course in probability, taken at the junior or senior level by students in a variety of fields- mathematical sciences, engineering, physics, statistics, operations research, computer science, economics, and various other areas of the social and behavioral sciences. Students are expected to have a working knowledge of single-variable calculus, including some acquaintance with power series. Generally, they are expected to have the experience and mathematical maturity to enable them to learn new concepts and to follow and to carry out sound mathematical arguments. While some experience with multiple integrals is helpful, the essential ideas can be introduced or reviewed rather quickly at points where needed |
| Beschreibung: | 1 Online-Ressource (XIX, 679p. 77 illus) |
| ISBN: | 9781461576761 9781461576785 |
| ISSN: | 1431-875X |
| DOI: | 10.1007/978-1-4615-7676-1 |
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| 650 | 4 | |a Mathematics | |
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| 650 | 4 | |a Probability Theory and Stochastic Processes | |
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Datensatz im Suchindex
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| author | Pfeiffer, Paul E. |
| author_facet | Pfeiffer, Paul E. |
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| author_sort | Pfeiffer, Paul E. |
| author_variant | p e p pe pep |
| building | Verbundindex |
| bvnumber | BV042420945 |
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| 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 |
| doi_str_mv | 10.1007/978-1-4615-7676-1 |
| format | Electronic eBook |
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| id | DE-604.BV042420945 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:08Z |
| institution | BVB |
| isbn | 9781461576761 9781461576785 |
| issn | 1431-875X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027856362 |
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| physical | 1 Online-Ressource (XIX, 679p. 77 illus) |
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| publishDate | 1990 |
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| publisher | Springer New York |
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| spelling | Pfeiffer, Paul E. Verfasser aut Probability for Applications by Paul E. Pfeiffer New York, NY Springer New York 1990 1 Online-Ressource (XIX, 679p. 77 illus) txt rdacontent c rdamedia cr rdacarrier Springer Texts in Statistics 1431-875X Objectives. As the title suggests, this book provides an introduction to probability designed to prepare the reader for intelligent and resourceful applications in a variety of fields. Its goal is to provide a careful exposition of those concepts, interpretations, and analytical techniques needed for the study of such topics as statistics, introductory random processes, statistical communications and control, operations research, or various topics in the behavioral and social sciences. Also, the treatment should provide a background for more advanced study of mathematical probability or mathematical statistics. The level of preparation assumed is indicated by the fact that the book grew out of a first course in probability, taken at the junior or senior level by students in a variety of fields- mathematical sciences, engineering, physics, statistics, operations research, computer science, economics, and various other areas of the social and behavioral sciences. Students are expected to have a working knowledge of single-variable calculus, including some acquaintance with power series. Generally, they are expected to have the experience and mathematical maturity to enable them to learn new concepts and to follow and to carry out sound mathematical arguments. While some experience with multiple integrals is helpful, the essential ideas can be introduced or reviewed rather quickly at points where needed Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd rswk-swf Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd rswk-swf Wahrscheinlichkeitsrechnung (DE-588)4064324-4 s 1\p DE-604 Wahrscheinlichkeitstheorie (DE-588)4079013-7 s 2\p DE-604 https://doi.org/10.1007/978-1-4615-7676-1 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Pfeiffer, Paul E. Probability for Applications Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd |
| subject_GND | (DE-588)4064324-4 (DE-588)4079013-7 |
| title | Probability for Applications |
| title_auth | Probability for Applications |
| title_exact_search | Probability for Applications |
| title_full | Probability for Applications by Paul E. Pfeiffer |
| title_fullStr | Probability for Applications by Paul E. Pfeiffer |
| title_full_unstemmed | Probability for Applications by Paul E. Pfeiffer |
| title_short | Probability for Applications |
| title_sort | probability for applications |
| topic | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd |
| topic_facet | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Wahrscheinlichkeitsrechnung Wahrscheinlichkeitstheorie |
| url | https://doi.org/10.1007/978-1-4615-7676-1 |
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