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Probability and Statistics: Works
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Many of the classic works in probability and statistics are available on the web. There are links to several of them in the entries below. All the works linked appear on Peter M. Lee's Materials for the History of Statistics site. The site contains many other links as well. The individual with the greatest influence on present day statistical terminology and notation remains R. A. Fisher (1890-1962). Many of Fisher's papers are available from the University of Adelaide Library’s R. A. Fisher Digital Archive.
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Through a combination of in-person and online instruction, this course provides a strong working knowledge of probability and statistics and an important foundation for study in the field of bioinformatics. Topics include probability theory, probability distributions, statistical tests, linear correlation and regression analysis, parameter estimation and overview of information theory. Examples are frequently drawn from bioinformatics. While not too rigorous for the novice, the course provides some mathematical detail to illustrate basic concepts. No prior background in probability and statistics is required.
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This option is designed to give you a good theoretical underpinning specifically in probability and statistics, as well as the opportunity to go deeper in these fields. The program can lead to a Master of Science in Statistics with one additional year of course work, if additional courses in Statistics are taken in the fourth year. (If you are interested in the M.S. in Statistics, you should contact the graduate adviser in the Statistics Division prior to the beginning of your fourth year.)
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