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MyLab Statistics with Pearson eText for A First Course in Probability, Global Edition

Sheldon Ross (Autor)

Online Resource
2023 | 10th edition
Pearson Education Limited (Hersteller)
978-1-292-72845-2 (ISBN)
CHF 82,65 inkl. MwSt
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For upper-level to graduate courses in Probability or Probability and Statistics, for majors in mathematics, statistics, engineering, and the sciences.

Explores both the mathematics and the many potential applications of probability theory A First Course in Probability offers an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences. Through clear and intuitive explanations, it attempts to present not only the mathematics of probability theory, but also the many diverse possible applications of this subject through numerous examples. The 10th Edition includes many new and updated problems, exercises, and text material chosen both for inherent interest and for use in building student intuition about probability.

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.

Combinatorial Analysis
Axioms of Probability
Conditional Probability and Independence
Random Variables
Continuous Random Variables
Jointly Distributed Random Variables
Properties of Expectation
Limit Theorems 394
Additional Topics in Probability
Simulation



Self-Test Problems and Exercises
Answers To Selected Problems
Solutions To Self-Test Problems and Exercises
Index

Erscheint lt. Verlag 15.11.2023
Verlagsort Harlow
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Statistik
ISBN-10 1-292-72845-0 / 1292728450
ISBN-13 978-1-292-72845-2 / 9781292728452
Zustand Neuware
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