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A First Course in Probability - Sheldon Ross

A First Course in Probability

International Edition

(Autor)

Buch | Softcover
552 Seiten
2008 | 8th edition
Pearson (Verlag)
978-0-13-607909-5 (ISBN)
CHF 97,25 inkl. MwSt
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A First Course in Probability, Eighth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, the Advisory Editor for International Journal of Quality Technology and Quantitative Management, and an Editorial Board Member of the Journal of Bond Trading and Management.  He is a Fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt US Senior Scientist Award.

1. Combinatorial Analysis

2. Axioms of Probability

3. Conditional Probability and Independence

4. Random Variables

5. Continuous Random Variables

6. Jointly Distributed Random Variables

7. Properties of Expectation

8. Limit Theorems

9. Additional Topics in Probability

10. Simulation

Appendix A. Answers to Selected Problems

Appendix B. Solutions to Self-Test Problems and Exercises

Index

Erscheint lt. Verlag 5.12.2008
Sprache englisch
Maße 204 x 254 mm
Gewicht 960 g
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
ISBN-10 0-13-607909-1 / 0136079091
ISBN-13 978-0-13-607909-5 / 9780136079095
Zustand Neuware
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