Probability theory: a first course in probability theory and statistics
This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields. It is based on the author's 25 years of experience teaching probability and is squarely aimed at helping students overc...
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Berlin ; Boston
De Gruyter
[2024]
|
Ausgabe: | 2nd edition |
Schriftenreihe: | De Gruyter Textbook
|
Schlagworte: | |
Zusammenfassung: | This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields. It is based on the author's 25 years of experience teaching probability and is squarely aimed at helping students overcome common difficulties in learning the subject. The focus of the book is an explanation of the theory, mainly by the use of many examples. Whenever possible, proofs of stated results are provided. All sections conclude with a short list of problems. The book also includes several optional sections on more advanced topics. This textbook would be ideal for use in a first course in Probability Theory. Contents:ProbabilitiesConditional Probabilities and IndependenceRandom Variables and Their DistributionOperations on Random VariablesExpected Value, Variance, and CovarianceNormally Distributed Random VectorsLimit Theorems Introduction to Stochastic ProcessesMathematical StatisticsAppendixBibliographyIndex |
Beschreibung: | XIV, 486 Seiten |
ISBN: | 9783111324845 |
Internformat
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520 | |a This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields. It is based on the author's 25 years of experience teaching probability and is squarely aimed at helping students overcome common difficulties in learning the subject. The focus of the book is an explanation of the theory, mainly by the use of many examples. Whenever possible, proofs of stated results are provided. All sections conclude with a short list of problems. The book also includes several optional sections on more advanced topics. This textbook would be ideal for use in a first course in Probability Theory. Contents:ProbabilitiesConditional Probabilities and IndependenceRandom Variables and Their DistributionOperations on Random VariablesExpected Value, Variance, and CovarianceNormally Distributed Random VectorsLimit Theorems Introduction to Stochastic ProcessesMathematical StatisticsAppendixBibliographyIndex | ||
650 | 4 | |a Grundlagen | |
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author | Linde, Werner 1947- |
author_GND | (DE-588)1050326334 |
author_facet | Linde, Werner 1947- |
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building | Verbundindex |
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ctrlnum | (DE-599)BVBBV049946939 |
dewey-full | 519.2 |
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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 |
edition | 2nd edition |
format | Book |
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illustrated | Not Illustrated |
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institution | BVB |
isbn | 9783111324845 |
language | English |
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physical | XIV, 486 Seiten |
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publisher | De Gruyter |
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spelling | Linde, Werner 1947- (DE-588)1050326334 aut Probability theory a first course in probability theory and statistics Werner Linde 2nd edition Berlin ; Boston De Gruyter [2024] XIV, 486 Seiten txt rdacontent n rdamedia nc rdacarrier De Gruyter Textbook This book is intended as an introduction to Probability Theory and Mathematical Statistics for students in mathematics, the physical sciences, engineering, and related fields. It is based on the author's 25 years of experience teaching probability and is squarely aimed at helping students overcome common difficulties in learning the subject. The focus of the book is an explanation of the theory, mainly by the use of many examples. Whenever possible, proofs of stated results are provided. All sections conclude with a short list of problems. The book also includes several optional sections on more advanced topics. This textbook would be ideal for use in a first course in Probability Theory. Contents:ProbabilitiesConditional Probabilities and IndependenceRandom Variables and Their DistributionOperations on Random VariablesExpected Value, Variance, and CovarianceNormally Distributed Random VectorsLimit Theorems Introduction to Stochastic ProcessesMathematical StatisticsAppendixBibliographyIndex Grundlagen Stochastik Wahrscheinlichkeitstheorie MATHEMATICS / Probability & Statistics / General bisacsh Stochastik (DE-588)4121729-9 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Stochastik (DE-588)4121729-9 s DE-604 Erscheint auch als Online-Ausgabe 978-3-11-132517-0 |
spellingShingle | Linde, Werner 1947- Probability theory a first course in probability theory and statistics Grundlagen Stochastik Wahrscheinlichkeitstheorie MATHEMATICS / Probability & Statistics / General bisacsh Stochastik (DE-588)4121729-9 gnd |
subject_GND | (DE-588)4121729-9 (DE-588)4123623-3 |
title | Probability theory a first course in probability theory and statistics |
title_auth | Probability theory a first course in probability theory and statistics |
title_exact_search | Probability theory a first course in probability theory and statistics |
title_full | Probability theory a first course in probability theory and statistics Werner Linde |
title_fullStr | Probability theory a first course in probability theory and statistics Werner Linde |
title_full_unstemmed | Probability theory a first course in probability theory and statistics Werner Linde |
title_short | Probability theory |
title_sort | probability theory a first course in probability theory and statistics |
title_sub | a first course in probability theory and statistics |
topic | Grundlagen Stochastik Wahrscheinlichkeitstheorie MATHEMATICS / Probability & Statistics / General bisacsh Stochastik (DE-588)4121729-9 gnd |
topic_facet | Grundlagen Stochastik Wahrscheinlichkeitstheorie MATHEMATICS / Probability & Statistics / General Lehrbuch |
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