STAT 605 - Theory of Sampling Techniques

Prerequisite

STAT 301 (Introduction to Statistical Methods) or STAT 307/ERHS 307 (Introduction to Biostatistics) or STAT 311 (Statistics for Behavioral Sciences I) or STAT 315 (Statitics for Engineers and Scientists) and STAT 430 (Probability and Mathematical Statistics II). Credit allowed for only one course: STAT605, STAA571.

Description

Survey designs; simple random, stratified, cluster samples; theory of estimation; optimization techniques for minimum variance or costs.

This course can be applied towards:

• Statistics (M.S.)

Important Information

It is highly recommended that students take STAT 530 prior to or concurrent with STAT 605.

Textbooks and Materials

Tuition includes access to lecture recordings available by download or streaming video. Lecture recordings may also be available on DVD sets. To determine the viewing options available, contact the Department of Statistic’s degree program staff at stats_ddp@mail.colostate.edu.

Go to http://www.stat.colostate.edu/DDP/course_descriptions.html to find information about course textbooks.

Instructors

F. Jay Breidt
(970) 491-6786
fjay.breidt@colostate.edu

F. Jay Breidt is professor and past chair in the Department of Statistics at Colorado State University. Dr. Breidt joined the Colorado State faculty in 2001 after serving on the faculty in the Department of Statistics at Iowa State University since 1991. His research interests include time series, environmental monitoring, and survey sampling. He is a fellow of the American Statistical Association, elected member of the International Statistical Institute, and winner of the 2004 Distinguished Achievement Award from the American Statistical Association (ASA) Section on Statistics and the Environment. He is a member of the Federal Economic Statistics Advisory Committee and regularly serves on panels for the National Academies of Science. He received his M.S.and Ph.D. in statistics at Colorado State.