Spring 2016

Theoretical Statistics

Listed in: Mathematics and Statistics, as MATH-370  |  Mathematics and Statistics, as STAT-370

Formerly listed as: MATH-30


Nicholas J. Horton (Section 01)


(Offered as STAT 370 and MATH 370.) This course examines the theory behind common statistical inference procedures including estimation and hypothesis testing. Beginning with exposure to Bayesian inference, the course will cover Maximum Likelihood Estimators, sufficient statistics, sampling distributions, joint distributions, confidence intervals, hypothesis testing and test selection, non-parametric procedures, and linear models. Four class hours per week.

Requisite: STAT 111 or STAT 135 and STAT 360, or consent of the instructor. Spring semester.  Professor Horton.

If Overenrolled: Priority to STAT majors

STAT 370 - L/D

Section 01
M 02:30 PM - 04:00 PM MERR 131
W 02:30 PM - 04:00 PM MERR 131

This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.

ISBN Title Publisher Author(s) Comment Book Store Price
Mathematical Statistics and Data Analysis Cengage Rice third edition (CD not required) Amherst Books TBD
Using R and RStudio for Data Management, Statistical Analysis, and Graphics CRC Press Horton and Kleinman optional Amherst Books TBD

These books are available locally at Amherst Books.


2024-25: Not offered
Other years: Offered in Spring 2009, Spring 2013, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022