Spring 2013

Mathematical Statistics

Listed in: Mathematics and Statistics, as MATH-430

Formerly listed as: MATH-30


Amy S. Wagaman (Section 01)


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: MATH  360 or consent of the instructor. Spring semester.  Professor Wagaman.

MATH 430 - L/D

Section 01
M 09:00 AM - 09:50 AM SMUD 202
Tu 09:00 AM - 09:50 AM SMUD 202
W 09:00 AM - 09:50 AM SMUD 202
F 09:00 AM - 09:50 AM SMUD 202

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 with Applications Brooks/Cole Wackerly, Mendenhall, and Scheaffer Same book from Math 360 - working on the second half Amherst Books TBD

These books are available locally at Amherst Books.


2024-25: Not offered
Other years: Offered in Spring 2009, Spring 2011, Spring 2013, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022