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ST 361

Mathematical Statistics

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Parametric statistics; principles of data reduction including sufficiency and likelihood function; point estimation including methods of finding estimators and properties of estimators; interval estimation; hypothesis testing including likelihood ratio testing; introduction to Bayesian analysis. Prerequisites: MA200 or MA201, ST260 or (ST259 and one of ST231, ST230). Exclusions: MA341.

Parametric statistics; principles of data reduction including sufficiency and likelihood function; point estimation including methods of finding estimators and properties of estimators; interval estimation; hypothesis testing including likelihood ratio testing; introduction to Bayesian analysis. Prerequisites: MA200 or MA201, ST260 or (ST259 and one of ST231, ST230). Exclusions: MA341.

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Parametric statistics; principles of data reduction including sufficiency and likelihood function; point estimation including methods of finding estimators and properties of estimators; interval estimation; hypothesis testing including likelihood ratio testing; introduction to Bayesian analysis. Prerequisites: MA200 or MA201, ST260 or (ST259 and one of ST231, ST230). Exclusions: MA341.

ST 361

Mathematical Statistics

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Parametric statistics; principles of data reduction including sufficiency and likelihood function; point estimation including methods of finding estimators and properties of estimators; interval estimation; hypothesis testing including likelihood ratio testing; introduction to Bayesian analysis. Prerequisites: MA200 or MA201, ST260 or (ST259 and one of ST231, ST230). Exclusions: MA341.

Parametric statistics; principles of data reduction including sufficiency and likelihood function; point estimation including methods of finding estimators and properties of estimators; interval estimation; hypothesis testing including likelihood ratio testing; introduction to Bayesian analysis. Prerequisites: MA200 or MA201, ST260 or (ST259 and one of ST231, ST230). Exclusions: MA341.

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Parametric statistics; principles of data reduction including sufficiency and likelihood function; point estimation including methods of finding estimators and properties of estimators; interval estimation; hypothesis testing including likelihood ratio testing; introduction to Bayesian analysis. Prerequisites: MA200 or MA201, ST260 or (ST259 and one of ST231, ST230). Exclusions: MA341.

ST 361 Prerequisites

(MA 200 (Min. Grade D-) or MA 201 (Min. Grade D-) ) and (ST 260 (Min. Grade D-) or (ST 259 (Min. Grade D-) and (ST 231 (Min. Grade D-) or ST 230 (Min. Grade D-) ) (Min. Grade ) ) (Min. Grade ) )

ST 361 Leads To

No Leads To Information Available

ST 361 Restrictions

Must be enrolled in one of the following Levels:

Undergraduate (UG)

Course Schedule