MultiModel Inference
STAT 792
Dr. Dwight Galster
SDSU F2007
Videos will stream if you click on them, otherwise you can right click and download them, which will give better control over playback.
We will begin by reading the syllabus. Note the paragraph that explains the requirements of the course (Instructional Procedure). The first assignment is to read and outline the two papers listed below. The first is a pdf made from a scan, so it is a large file (apologies).
The Case Against Statistical Significance Testing by Ronald P. Carver
Information theory and hypothesis testing: a call for pluralism, by Philip A. Stephens, et. al.
9/6 Introduction and organization Video
9/11 Discuss two papers Notes (Angela) Video
9/13 Discuss textbook pages 1-23 Notes (Nick) Video
9/18 Discuss textbook pages 23-43 Notes (Melissa) Video
9/20 Discuss textbook pages 43-58 Notes (Tom) Video
9/25 Discuss textbook pages 58-74 Notes (Steve)Video
9/27 Discuss textbook pages 74-85 Notes (Andy) Video
Lewis-Clark
Sauger Data
Stock Recruitment Data
10/2 Discuss textbook pages 85-106 Notes (Angela) Video
10/9 Discuss textbook pages 106-136,
SAS Program with AIC in REG
S-R Curves Code Notes (Nick)
Video
10/11 Discuss textbook pages 137-148 Notes (Melissa) Video
10/16 Discuss textbook pages 149-177 Notes (Andy) Video
10/23 Discuss textbook pages 177-205 Notes (Tom) Video
10/25 SAS programs and results Video
10/30 Discuss textbook pages 205-235 Notes (Steve) Video
11/1 Discuss textbook pages 235-266 Notes (Angela) Video
11/6 Discuss the first three articles contributed by class members (listed below) Video
11/8 Discuss articles contributed by class members Video
Articles contributed by class members
Melissa Bunnell
Crappie Recruitment 2006
Nick
Dauwalter Electrofishing 2007
Tom Rich Bull Trout 2003
Andy Paulsen Salmon Survival 2005
Angela Gilbert Black-Tailed Deer 2007
Steve Link & Barker
compare AIC and BIC approaches
B&A response
11/13 No class meeting. Please view video and SAS program here
SAS Program
Video and see the
links to SAS below.
You should be working on Melissa's
data (below) and any other data you wish to contribute for class discussion.
Direct link to SAS documentation for proc logistic
Examples and proc genmod
Examples.
The
Details section of proc logistic has some interesting stuff on a variety of
topics, including odds ratios.
Melissa's data:
Excel, CSV,
SAS, and
documentation
Note: Big and Slow are related to Fine and Fast (linear
dependence), FEco and Drain are character variables with more than two levels.
You might want to start with something like this:
proc logistic data=fish; model crch=VegCov LWD Brush OhVeg Human Agric LogSub Slope Fine Sinu Depth SDDep Width SDWid WidDep SDWD Fast Pool Dry Veloc MVel SDVel BankW BankH Under Incise Ground Embed Cond Temp Turb Ph NatRich RiCrch RiFami RiLoda NatPisc IntPisc PerBlbu PerCoca PerGrsu PerNopi PreNopi PerInt PIBlbu PICoca PIPlki SWDiv DCrch DFami DLoda Long Lat WsArea WatYield RdDen RdLen Strahl DsDam UsDam GwNum PCost AnnFld IrrTL IrrDen Water Snow Devel Commer Rock Mines Trans Forest Shrub Grass Hay Crop Fallow Wetlan SoilPerm MaxSalt AveSalt WTDepL WTDepA SoilEr WsElev PtElev RelGrad/selection=score best=10 stop=5; run;
Another Contributed Data set: Bullhead data and paper
11/15 Discuss Bullhead data and SAS programming tips Video
11/20 More Bullhead data--Model Averaging Video
11/27 Discuss chapter 6 sections 1-5 Video
11/29 Guest Presentation Video
12/4 Chapter 8? SAS examples
12/6 No class
12/11 No class
12/13
Chapter 1 MARK http://www.phidot.org/software/mark/docs/book/ In the lower right, pick chapter one.
David Anderson homepage http://www.cnr.colostate.edu/~anderson/index.html He has links to some of his reprints that may be good for discussion.
Homepage for course taught by Anderson and White, much of the material is MARK related, but they also have outlines on MLE, likelihood ratio tests, etc. that we discuss. http://www.cnr.colostate.edu/class_info/fw663/Mark.html
Excerpt from "The Lady Tasting Tea" by David Salsburg, pages 112-113, pages 114-115. Neyman and Deming were two big opponents of hypothesis testing on philosophical grounds.
Misc Papers
http://www.theses.ulaval.ca/2004/21842/apa.html
http://support.sas.com/onlinedoc/913/getDoc/en/imlug.hlp/timeseriesexpls_sect9.htm
SAS Papers on Poisson Regression
http://support.sas.com/faq/009/FAQ00999.html
http://www2.sas.com/proceedings/sugi24/Stats/p265-24.pdf