Basic Probability Theory with Applications

This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
מחבר ראשי: Lefebvre, Mario, 1957-
פורמט: Livre numérique
שפה:Anglais
יצא לאור: New York, NY : Springer New York [20..].
Cham : Springer Nature
מהדורה:1st ed. 2009.
סדרה:Springer Undergraduate Texts in Mathematics and Technology
נושאים:
גישה מקוונת:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
הערה: L'impression du document génère 346 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Basic probability theory with applications, Mario Lefebvre, New York, Springer, 2009, 1 volume (XVI-340 pages), Springer undergraduate texts in mathematics and technology, 0-387-74994-2
• Basic Probability Theory with Applications, Texte imprimé, 9780387567075
• Basic probability theory with applications, Mario Lefebvre, New York, Springer, 2009, 1 volume (XVI-340 pages), Springer undergraduate texts in mathematics and technology, 0-387-74994-2
• Basic Probability Theory with Applications, Texte imprimé, 9781461429234
• Basic Probability Theory with Applications, Texte imprimé, 9781493976126
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505 1 |a Preface Review of Differential Calculus Elementary Probability Random Variables Random Vectors Reliability Queueing Time Series Appendix A: List of Symbols and Abbreviations Appendix B: Statistical Tables Appendix C: Solutions to 'Solved Exercises' Appendix D: Answers to Even-Numbered Exercises Appendix E: Answers to Multiple-Choice Questions References Index 
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520 |a This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the main results in elementary probability theory. This is followed by material on random variables. Random vectors, including the all important central limit theorem, are treated next. The last three chapters concentrate on applications of this theory in the areas of reliability theory, basic queuing models, and time series. Examples are elegantly woven into the text and over 400 exercises reinforce the material and provide students with ample practice. This textbook can be used by undergraduate students in pure and applied sciences such as mathematics, engineering, computer science, finance and economics. A separate solutions manual is available to instructors who adopt the text for their course 
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