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Statistical Ideas

Thursday, February 16, 2006. Fitting exponential power (Subbotin, 1923) distribution SAS/R. R code * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * /. Writecsv(x,file="c: temp x.csv"). Fitdistr(x, dep, start=list(location=0, scale=1, tail=1.5). SAS Code * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * /. Proc import datafile="c: temp x.csv" out=x; run;. Proc nlmixed data=x;. Const = 2*tail* (1/tail-1) *gamma(1/tail);. Z = (x-location)/scale;. Loglike = log(like);. Second edi...

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Thursday, February 16, 2006. Fitting exponential power (Subbotin, 1923) distribution SAS/R. R code * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * /. Writecsv(x,file=c: temp x.csv). Fitdistr(x, dep, start=list(location=0, scale=1, tail=1.5). SAS Code * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * /. Proc import datafile=c: temp x.csv out=x; run;. Proc nlmixed data=x;. Const = 2*tail* (1/tail-1) *gamma(1/tail);. Z = (x-location)/scale;. Loglike = log(like);. Second edi...

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Statistical Ideas | statideas.blogspot.com Reviews

https://statideas.blogspot.com

Thursday, February 16, 2006. Fitting exponential power (Subbotin, 1923) distribution SAS/R. R code * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * /. Writecsv(x,file="c: temp x.csv"). Fitdistr(x, dep, start=list(location=0, scale=1, tail=1.5). SAS Code * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * /. Proc import datafile="c: temp x.csv" out=x; run;. Proc nlmixed data=x;. Const = 2*tail* (1/tail-1) *gamma(1/tail);. Z = (x-location)/scale;. Loglike = log(like);. Second edi...

INTERNAL PAGES

statideas.blogspot.com

1

Statistical Ideas: Fitting exponential power (Subbotin, 1923) distribution SAS/R

http://statideas.blogspot.com/2006/02/fitting-exponential-power-subbotin.html

Thursday, February 16, 2006. Fitting exponential power (Subbotin, 1923) distribution SAS/R. R code * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * /. Writecsv(x,file="c: temp x.csv"). Fitdistr(x, dep, start=list(location=0, scale=1, tail=1.5). SAS Code * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * /. Proc import datafile="c: temp x.csv" out=x; run;. Proc nlmixed data=x;. Const = 2*tail* (1/tail-1) *gamma(1/tail);. Z = (x-location)/scale;. Loglike = log(like);.

2

Statistical Ideas: Overdispersion for Binomial GLM with SAS/GLIMMIX

http://statideas.blogspot.com/2006/01/overdispersion-for-binomial-glm-with.html

Monday, January 30, 2006. Overdispersion for Binomial GLM with SAS/GLIMMIX. Overdispersion for Binomial Generalized Linar Model using. Example from Agresti, Categorical Data Analysis,. Second edition page 151, section 4.7.3. I have also included the code to reproduce the. Example using GLIMMIX procedure. Input color spine width satell weight;. Weight=weight/1000; color=color-1;. 3 3 28.3 8 3050. 4 3 22.5 0 1550. 2 1 26.0 9 2300. 4 3 24.8 0 2100. 4 3 26.0 4 2600. 3 3 23.8 0 2100. 2 1 26.5 0 2350. 3 3 30&#...

3

Statistical Ideas: Reshape SAS Macro (UCLA)

http://statideas.blogspot.com/2006/01/reshape-sas-macro-ucla.html

Monday, January 16, 2006. Reshape SAS Macro (UCLA). Create a longitudinal dataset with a long (thin) format */. Do id = 1 to 100;. Do time = 1 to 3;. X = 10 5*rannor(7154847);. Create a longitudinal dataset with a wide (fat) format */. Do id = 1 to 100;. X1 = 10 5*rannor(7154847);. X2 = 10 5*rannor(7154847);. X3 = 10 5*rannor(7154847);. Using the %towide and %tolong macros,. Http:/ www.ats.ucla.edu/stat/sas/modules/tolong.htm. Http:/ www.ats.ucla.edu/stat/sas/modules/towide.htm */. Inc " towide.sas";.

4

Statistical Ideas: January 2006

http://statideas.blogspot.com/2006_01_01_archive.html

Monday, January 30, 2006. Overdispersion for Binomial GLM with SAS/GLIMMIX. Overdispersion for Binomial Generalized Linar Model using. Example from Agresti, Categorical Data Analysis,. Second edition page 151, section 4.7.3. I have also included the code to reproduce the. Example using GLIMMIX procedure. Input color spine width satell weight;. Weight=weight/1000; color=color-1;. 3 3 28.3 8 3050. 4 3 22.5 0 1550. 2 1 26.0 9 2300. 4 3 24.8 0 2100. 4 3 26.0 4 2600. 3 3 23.8 0 2100. 2 1 26.5 0 2350. 3 3 30&#...

5

Statistical Ideas: Generate inital values for NLMIXED using GLIMMIX

http://statideas.blogspot.com/2006/01/generate-inital-values-for-nlmixed.html

Tuesday, January 24, 2006. Generate inital values for NLMIXED using GLIMMIX. Logistic Regressions with Random Intercepts. Data from Getting Started Example from the Proc Glimmix Help page. This code generate initial values using proc glimmix, construct a data set. And provide them to proc nlmixed. Input center group $ n sideeffect;. 1 A 32 14. 1 B 33 18. 3 A 23 14. 4 B 22 10. 5 B 21 12. 10 A 13 3. 10 B 13 1. 11 A 11 1. 11 B 12 2. 12 A 10 1. Proc glimmix data=multicenter;. Class center group;. Set ep cp;.

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Statistical Ideas

Thursday, February 16, 2006. Fitting exponential power (Subbotin, 1923) distribution SAS/R. R code * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * /. Writecsv(x,file="c: temp x.csv"). Fitdistr(x, dep, start=list(location=0, scale=1, tail=1.5). SAS Code * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * /. Proc import datafile="c: temp x.csv" out=x; run;. Proc nlmixed data=x;. Const = 2*tail* (1/tail-1) *gamma(1/tail);. Z = (x-location)/scale;. Loglike = log(like);. Second edi...

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