A Gentle Introduction to Linear Mixed Modeling and PROC MIXED Richard Charnigo Associate Professor of Statistics and Biostatistics Director of Statistics.
EXPLORING SPATIAL CORRELATION IN RIVERS by Joshua French.
Non- Parametric Statistics A Presentation by Rob McMullen for AP Statistics.
Inference: Neyman’s Repeated Sampling STA 320 Design and Analysis of Causal Studies Dr. Kari Lock Morgan and Dr. Fan Li Department of Statistical Science.
Statistics II: An Overview of Statistics. Outline for Statistics II Lecture: SPSS Syntax – Some examples. Normal Distribution Curve. Sampling Distribution.
The max log likellihood function is simply a function of the error covariance matrix + constant terms!
1 CHAPTER 7 Homework:5,7,9,11,17,22,23,25,29,33,37,41,45,51, 59,65,77,79 : The U.S. Bureau of Census publishes annual price figures for new mobile homes.
A Gentle Introduction to Linear Mixed Modeling and PROC MIXED Richard Charnigo
Analysis of Residuals Data = Fit + Residual. Residual means left over Vertical distance of Y i from the regression hyper-plane An error of “prediction”
12.913.714.114.214.5 14.614.715.115.215.3 15.515.6 15.8 16.0 16.2 16.316.4 16.516.6 16.817.0 17.217.4 17.918.4 Do NOT glue (we’ll do that later)— simply.
Misspecification tests. Information criteria.