Probability:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1993
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Preface to the Instructor This is a text for a one-quarter or one-semester course in probability, aimed at stu dents who have done a year of calculus. The book is organized so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail. It is not possible to go through all these examples in class. Rather, I suggest that you deal quickly with the main points of theory, then spend class time on problems from the exercises, or your own favorite problems. The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theo rems and proofs. So the emphasis is on problem solving rather than theory |
| Beschreibung: | 1 Online-Ressource (XI, 560 p) |
| ISBN: | 9781461243748 9780387945941 |
| DOI: | 10.1007/978-1-4612-4374-8 |
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| 500 | |a Preface to the Instructor This is a text for a one-quarter or one-semester course in probability, aimed at stu dents who have done a year of calculus. The book is organized so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail. It is not possible to go through all these examples in class. Rather, I suggest that you deal quickly with the main points of theory, then spend class time on problems from the exercises, or your own favorite problems. The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theo rems and proofs. So the emphasis is on problem solving rather than theory | ||
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Datensatz im Suchindex
| _version_ | 1804153092014342144 |
|---|---|
| any_adam_object | |
| author | Pitman, Jim |
| author_facet | Pitman, Jim |
| author_role | aut |
| author_sort | Pitman, Jim |
| author_variant | j p jp |
| building | Verbundindex |
| bvnumber | BV042420279 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA ZDB-2-BAE |
| ctrlnum | (OCoLC)863721039 (DE-599)BVBBV042420279 |
| 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 | 10.1007/978-1-4612-4374-8 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:06Z |
| institution | BVB |
| isbn | 9781461243748 9780387945941 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027855696 |
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| spelling | Pitman, Jim Verfasser aut Probability by Jim Pitman New York, NY Springer New York 1993 1 Online-Ressource (XI, 560 p) txt rdacontent c rdamedia cr rdacarrier Preface to the Instructor This is a text for a one-quarter or one-semester course in probability, aimed at stu dents who have done a year of calculus. The book is organized so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail. It is not possible to go through all these examples in class. Rather, I suggest that you deal quickly with the main points of theory, then spend class time on problems from the exercises, or your own favorite problems. The most valuable thing for students to learn from a course like this is how to pick up a probability problem in a new setting and relate it to the standard body of theory. The more they see this happen in class, and the more they do it themselves in exercises, the better. The style of the text is deliberately informal. My experience is that students learn more from intuitive explanations, diagrams, and examples than they do from theo rems and proofs. So the emphasis is on problem solving rather than theory Mathematics Distribution (Probability theory) Mathematical statistics Probability Theory and Stochastic Processes Statistical Theory and Methods Mathematik Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd rswk-swf Wahrscheinlichkeit (DE-588)4137007-7 gnd rswk-swf Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd rswk-swf Stochastik (DE-588)4121729-9 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Wahrscheinlichkeitstheorie (DE-588)4079013-7 s 2\p DE-604 Wahrscheinlichkeitsrechnung (DE-588)4064324-4 s 3\p DE-604 Stochastik (DE-588)4121729-9 s 4\p DE-604 Wahrscheinlichkeit (DE-588)4137007-7 s 5\p DE-604 https://doi.org/10.1007/978-1-4612-4374-8 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 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Pitman, Jim Probability Mathematics Distribution (Probability theory) Mathematical statistics Probability Theory and Stochastic Processes Statistical Theory and Methods Mathematik Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd Wahrscheinlichkeit (DE-588)4137007-7 gnd Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Stochastik (DE-588)4121729-9 gnd |
| subject_GND | (DE-588)4079013-7 (DE-588)4137007-7 (DE-588)4064324-4 (DE-588)4121729-9 (DE-588)4123623-3 |
| title | Probability |
| title_auth | Probability |
| title_exact_search | Probability |
| title_full | Probability by Jim Pitman |
| title_fullStr | Probability by Jim Pitman |
| title_full_unstemmed | Probability by Jim Pitman |
| title_short | Probability |
| title_sort | probability |
| topic | Mathematics Distribution (Probability theory) Mathematical statistics Probability Theory and Stochastic Processes Statistical Theory and Methods Mathematik Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd Wahrscheinlichkeit (DE-588)4137007-7 gnd Wahrscheinlichkeitsrechnung (DE-588)4064324-4 gnd Stochastik (DE-588)4121729-9 gnd |
| topic_facet | Mathematics Distribution (Probability theory) Mathematical statistics Probability Theory and Stochastic Processes Statistical Theory and Methods Mathematik Wahrscheinlichkeitstheorie Wahrscheinlichkeit Wahrscheinlichkeitsrechnung Stochastik Lehrbuch |
| url | https://doi.org/10.1007/978-1-4612-4374-8 |
| work_keys_str_mv | AT pitmanjim probability |