Probability Through Problems:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2001
|
| Schriftenreihe: | Problem Books in Mathematics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | This book of problems has been designed to accompany an undergraduate course in probability. It will also be useful for students with interest in probability who wish to study on their own. The only prerequisite is basic algebra and calculus. This includes some elementary experience in set theory, sequences and series, functions of one variable, and their derivatives. Familiarity with integrals would be a bonus. A brief survey of terminology and notation in set theory and calculus is provided. Each chapter is divided into three parts: Problems, Hints, and Solutions. To make the book reasonably self-contained, all problem sections include expository material. Definitions and statements of important results are interlaced with relevant problems. The latter have been selected to motivate abstract definitions by concrete examples and to lead in manageable steps toward general results, as well as to provide exercises based on the issues and techniques introduced in each chapter. The hint sections are an important part of the book, designed to guide the reader in an informal manner. This makes Probability Through Prob lems particularly useful for self-study and can also be of help in tutorials. Those who seek mathematical precision will find it in the worked solutions provided. However, students are strongly advised to consult the hints prior to looking at the solutions, and, first of all, to try to solve each problem on their own |
| Beschreibung: | 1 Online-Ressource (VIII, 260 p) |
| ISBN: | 9780387216591 9781475762914 |
| ISSN: | 0941-3502 |
| DOI: | 10.1007/978-0-387-21659-1 |
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Datensatz im Suchindex
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| author | Capiński, Marek |
| author_facet | Capiński, Marek |
| author_role | aut |
| author_sort | Capiński, Marek |
| author_variant | m c mc |
| building | Verbundindex |
| bvnumber | BV042418948 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA ZDB-2-BAE |
| ctrlnum | (OCoLC)860220844 (DE-599)BVBBV042418948 |
| 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 | 10.1007/978-0-387-21659-1 |
| format | Electronic eBook |
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| id | DE-604.BV042418948 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:03Z |
| institution | BVB |
| isbn | 9780387216591 9781475762914 |
| issn | 0941-3502 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027854365 |
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| physical | 1 Online-Ressource (VIII, 260 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 2001 |
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| publisher | Springer New York |
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| series2 | Problem Books in Mathematics |
| spelling | Capiński, Marek Verfasser aut Probability Through Problems by Marek Capiński, Tomasz Zastawniak New York, NY Springer New York 2001 1 Online-Ressource (VIII, 260 p) txt rdacontent c rdamedia cr rdacarrier Problem Books in Mathematics 0941-3502 This book of problems has been designed to accompany an undergraduate course in probability. It will also be useful for students with interest in probability who wish to study on their own. The only prerequisite is basic algebra and calculus. This includes some elementary experience in set theory, sequences and series, functions of one variable, and their derivatives. Familiarity with integrals would be a bonus. A brief survey of terminology and notation in set theory and calculus is provided. Each chapter is divided into three parts: Problems, Hints, and Solutions. To make the book reasonably self-contained, all problem sections include expository material. Definitions and statements of important results are interlaced with relevant problems. The latter have been selected to motivate abstract definitions by concrete examples and to lead in manageable steps toward general results, as well as to provide exercises based on the issues and techniques introduced in each chapter. The hint sections are an important part of the book, designed to guide the reader in an informal manner. This makes Probability Through Prob lems particularly useful for self-study and can also be of help in tutorials. Those who seek mathematical precision will find it in the worked solutions provided. However, students are strongly advised to consult the hints prior to looking at the solutions, and, first of all, to try to solve each problem on their own Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd rswk-swf Wahrscheinlichkeitstheorie (DE-588)4079013-7 s 1\p DE-604 Zastawniak, Tomasz Sonstige oth https://doi.org/10.1007/978-0-387-21659-1 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Capiński, Marek Probability Through Problems Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd |
| subject_GND | (DE-588)4079013-7 |
| title | Probability Through Problems |
| title_auth | Probability Through Problems |
| title_exact_search | Probability Through Problems |
| title_full | Probability Through Problems by Marek Capiński, Tomasz Zastawniak |
| title_fullStr | Probability Through Problems by Marek Capiński, Tomasz Zastawniak |
| title_full_unstemmed | Probability Through Problems by Marek Capiński, Tomasz Zastawniak |
| title_short | Probability Through Problems |
| title_sort | probability through problems |
| topic | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Wahrscheinlichkeitstheorie (DE-588)4079013-7 gnd |
| topic_facet | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Wahrscheinlichkeitstheorie |
| url | https://doi.org/10.1007/978-0-387-21659-1 |
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