Kathy Hanford

Mixed


Courses:

 Mixed
  Models


UNL
IANR
Statistics

Stat 892: Mixed Models

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Objective

Mixed models are statistical models that include both fixed and random effects. Many designed experiments used in different disciplines need to be analyzed using mixed models. Examples of these are split-plot experiments used extensively in agriculture and cross-over trials used extensively in medicine.

Notice

CLASS CANCELLED MONDAY APRIL 25 (AGSTAT CONFERENCE)

March 25, 2005 Homework 3 SAS program available under Examples

Second Exam Wednesday April 6, 2005

March 30, 2005 - Repeated measures and cross-over notes updated and page-numbered

Course Info

Instructor:Kathy Hanford
Office:A218f Animal Science Building
E-mail:khanford2@unl.edu
Phone:540-9480
Office Hours:By appointment or drop in
Syllabus:Course Syllabus
Prerequisites: Statistics 802 or equivalent
Grades will be based upon the following:

  Percent of grade
1 Comprehensive Final   20%
2 Tests   30%
Homework   50%


A ³90% and £100%
B ³80% and <90%
C ³70% and <80%
D ³60% and <70%
F <60%


Final Exam: 7:30 AM to 9:30 AM Tuesday, May 3
  • Revise travel plans accordingly.
Check Grades:Blackboard Course Info

Kathy Hanford <khanford2@unl.edu>
Last modified: Wed Mar 30 2005