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Apr 28, 2024
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2020-2022 Undergraduate and Graduate Bulletin (without addenda) [ARCHIVED CATALOG]
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MA-GY 6963 Statistics3 Credits
Topics to be covered in this course include various statistical models (sampling model, randomization methods), estimation and margins of error (MLE, confidence intervals, asymptotic theory, efficiency and sufficiency, robustness), likelihood theory (score functions and ratio tests), Bayes theory, decision theory (hypothesis testing, goodness of fit, shrinkage), and finally, an introduction to some common computational methods (bootstrap, Markov Chain-Monte Carlo).
Prerequisite(s): Undergraduate-level proficiency in linear algebra and multivariable calculus; graduate-level proficiency in probability, at the level of MATH-GA 2901, MA-GY 6813 , or ECE-GY 6303 .
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