Illustrative reading: Location. Please follow the links below to find out more information about our major tracks. Emphasis on concepts, methods and data analysis using SAS. Similar topics are covered in STA 131B and 131C. Prerequisite: (MAT 016C C- or better or MAT 017C C- or better or MAT 021C C- or better); (STA 013 C- or better or STA 013Y C- or better or STA 032 C- or better or . ), Statistics: Computational Statistics Track (B.S. ECS 117. Summary of Course Content: UC Davis Department of Statistics. J} \Ne8pAu~q"AqD2z LjEwD69(-NI3#W3wJ|XRM4l$.z?^YU.*$zIy0IZ5 /H]) G3[LO<=>S#%Ce8g'd/Q-jYY~b}}Dr_9-Me^MnZ(,{[1seh:/$( w*c\SE3kJ_47q(kQP3p FnMP.B\g4hpwsZ4 XMd1vyv@m_gt ,h+3gU *vGoJYO9 T z-7] x ), Statistics: General Statistics Track (B.S. Prerequisite(s): STA141B C- or better or (STA141A C- or better, (ECS 010 C- or better or ECS032A C- or better)). Transformed random variables, large sample properties of estimates. Discussion: 1 hour. 1 0 obj << Computational data workflow and best practices. Regression and correlation, multiple regression. Emphasizes large sample theory and their applications. Course Description: Introduction to statistical learning; Bayesian paradigm; model selection; simultaneous inference; bootstrap and cross validation; classification and clustering methods; PCA; nonparametric smoothing techniques. ECS 116. %PDF-1.5 ), Statistics: General Statistics Track (B.S. Applications in the social, biological, and engineering sciences. Goals: This course is a continuations of STA 130A. Course Description: Focus on linear and nonlinear statistical models. The midterm and final examinations will differ from those of 131A in that they will include material covered in the additional reading assignments. Computational data workflow and best practices. Prerequisite(s): STA106; STA108; STA131A; STA131B; STA131C; MAT167. Topics include basic concepts in asymptotic theory, decision theory, and an overview of methods of point estimation. Chi square and Kolmogorov-Smirnov tests. STA 135 Multivariate Data Analysis - UC Davis Department of Statistics STA 131B Introduction to Mathematical Statistics. Interactive data visualization with Web technologies. It is designed to continue the integration of theory and applications, and to cover hypothesis testing, and several kinds of statistical methodology. Prerequisite(s): STA235B or MAT235B; or consent of instructor. Emphasis on practical consulting and collaboration of statisticians with clients and scientists under instructor supervision.
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