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MAT 432

Mathematical Statistics II

University of Illinois Springfield 4 credits MAT

Course Description

Introduction to theory and application of statistical inference. Topics include sampling distributions, point estimation, including maximum likelihood estimation and the application of criteria such as consistency, unbiasedness, and minimum variance; interval estimation, Baynesian estimation, statistical hypothesis testing, including power functions, Type I and Type II errors, Newman-Pearson lemma, and likelihood ratio tests. Course Information: Prerequisites: MAT 431 with grade of C or better.

Code
MAT 432
Credits
4
Subject
MAT

Programs That Include This Course

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