STATS 200: Introduction to Statistical Inference
Modern statistical concepts and procedures derived from a mathematical framework. Statistical inference, decision theory; point and interval estimation, tests of hypotheses; Neyman-Pearson theory. Bayesian analysis; maximum likelihood, large sample theory. Prerequisite: 116.
Terms: Aut, Win
| Units: 3
Instructors:
Reid, S. (PI)
;
Siegmund, D. (PI)
;
Arthur, J. (TA)
...
more instructors for STATS 200 »
Instructors:
Reid, S. (PI)
;
Siegmund, D. (PI)
;
Arthur, J. (TA)
;
Bai, Y. (TA)
;
DiCiccio, C. (TA)
;
Friedberg, R. (TA)
;
Gao, K. (TA)
;
Orenstein, P. (TA)
;
Rosenman, E. (TA)
;
Walsh, D. (TA)
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