Jeff Gill is an associate professor of Political Science at the University of California, Davis. His current research is focused on projects such as Bayesian hierarchical models, MCMC theory, budgetary behavior in the House of Representatives, Congress, generalized linear model theory, and simulation techniques. He recently completed a book entitled Numerical Issues in Statistical Computing for the Social Scientist (with Altman and McDonald).
Inhaltsangabe
1. The basics 2. Analytic geometry 3. Linear algebra: vectors, matrices and operations 4. Linear algebra continued: matrix structure 5. Elementary scalar calculus 6. Additional topics in scalar and vector calculus 7. Probability theory 8. Random variables 9. Markov chains.
1. The basics 2. Analytic geometry 3. Linear algebra: vectors, matrices and operations 4. Linear algebra continued: matrix structure 5. Elementary scalar calculus 6. Additional topics in scalar and vector calculus 7. Probability theory 8. Random variables 9. Markov chains.
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