Probability theory : a first course in probability theory and statistics
Material type: TextPublication details: Berlin De Gruyter 2016Description: xiv, 395 p. illustrationsISBN: 9783110466171 (pbk. : acid-free paper)Uniform titles: Stochastik für das Lehramt. Subject(s): Probabilities | Mathematical statistics | Measure theoryDDC classification: 519.2 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: Probabilities Conditional Probabilities and Independence Random Variables and Their Distribution Operations on Random Variables Expected Value, Variance, and Covariance Normally Distributed Random Vectors Limit Theorems Mathematical Statistics Appendix Bibliography IndexItem type | Current library | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|
BK | Stack | 519.2 LIN/P (Browse shelf (Opens below)) | Available | 51075 |
"Revised version of the German edition Stochastik für das Lehramt"--Preface.
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:
Probabilities
Conditional Probabilities and Independence
Random Variables and Their Distribution
Operations on Random Variables
Expected Value, Variance, and Covariance
Normally Distributed Random Vectors
Limit Theorems
Mathematical Statistics
Appendix
Bibliography
Index
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