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...
| Main Authors: | , |
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| Corporate Author: | |
| Format: | Book |
| Language: | English |
| Published: |
Berlin ; Boston :
De Gruyter,
[2016]
Berlin ; Boston : [2016] |
| Series: | De Gruyter textbook
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| Subjects: |
| Summary: | 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 TheoremsMathematical StatisticsAppendixBibliographyIndex 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 authors 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 TheoremsMathematical StatisticsAppendixBibliographyIndex |
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| Physical Description: | 1 online resource (409 p) 1 online resource (XIV, 395 pages) |
| Format: | Mode of access: Internet via World Wide Web |
| ISBN: | 3110466198 3110466252 9783110466195 9783110466256 |
| Access: | Restricted for use by site license. |