MA 41600, Spring 2018

Course Description

Credit Hours: 3.00. (STAT 416) An introduction to mathematical probability suitable as a preparation for actuarial science, statistical theory, and mathematical modeling. General probability rules, conditional probability and Bayes theorem, discrete and continuous random variables, moments and moment generating functions, joint and conditional distributions, standard discrete and continuous distributions and their properties, law of large numbers and central limit theorem. Typically offered Fall Spring.

Instructor Info.

Section Room Time Instructor Office
MA 41600 161 UNIV 217 1:30pm TR Dasgupta, Anirban No Office
MA 41600 164 UNIV 117 12:30pm MWF Sellke, Thomas No Office
MA 41600 165 UNIV 103 3:30pm MWF McClure, James MATH 836
MA 41600 166 UNIV 103 11:30am MWF Peterson, Jonathon MATH 430
MA 41600 167 UNIV 217 10:30am TR Walther, Uli MATH 746

Course Materials

Section Type Title Author
164 Textbook Probability (Springer Texts in Statistics) Jim Pitman
167 Textbook A First Course in Probability (9th Edition) (9) Sheldon Ross
167 Textbook First Course in Probability, A (9) Sheldon Ross
166 Textbook Introduction to Probability (Cambridge Mathematical Textbooks) David F. Anderson
166 Textbook Introduction to Probability (Cambridge Mathematical Textbooks) David F. Anderson
165 Textbook A First Course in Probability (9th Edition) (9) Sheldon Ross
161 Textbook Basic Probability Theory (Dover Books on Mathematics) Robert B. Ash
161 Textbook An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd Edition (3) William Feller

Important Notes

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