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17 papers; 17 titles.

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Conference × Year × Title × Authors Extras Pages
SCSUG 2015 Using SAS Software to Determine the Mixed Rotterdam Demand Model Parameters and Test Statistical References Maryam Tabarestani,
Hector Zapata
23
SGF 2015 The %ic_mixed Macro: A SAS Macro to Produce Sorted Information Criteria (AIC and BIC) List for PROC MIXED for Model Selection Qinlei Huang source 16
SGF 2013 Using Data Mining in Forecasting Problems Chip Wells,
Justin Kauhl,
Timothy Rey
source 17
MWSUG 2012 Are Sales Figures in Line With Expectations? Using PROC ARIMA in SAS to Forecast Company Revenue Saveth Ho,
Brian Van Dorn
10
SGF 2012 Weighted Portmanteau Tests Revisited: Detecting Heteroscedasticity, Fitting Nonlinear and Multivariate Time Series Thomas J. Fisher source 12
WUSS 2007 Time Series Cross Sectional Analysis of Total Nitrogen Concentration in Truckee River, Nevada Using SAS Anpalaki J. Ragavan source 11
SGF 2007 OLS Regression? Auto-Regression? Dynamic Regression? Rodger Zhang source 12
SUGI 2006 Introduction to SAS Enterprise Guide 4.1 for Statistical Analysis Charles B. Hallahan,
Linda P. Atkinson
source 22
SUGI 2005 Guidelines for Selecting the Covariance Structure in Mixed Model Analysis Charles D. Kincaid source 8
NESUG 2003 Statistics & Regression - Easier than SAS Vincent Maffei,
Michael L. Davis
6
WUSS 1994 SAS in Taming Classical Violations Kamal Shoukry source 3
NESUG 1991 Overview of ETS Procedures for Business Forecasting Jeffrey Jarrett 4
SUGI 1991 Incorporating Adjustment into Sample Data Products Willard Carl Losinger,
Alfredo Navarro
source 6
SUGI 1989 An Evaluation of Residuals for the Cox Model William E. Barlow,
Shan-Pin Fanchiang
source 6
SUGI 1988 An Expert System Interface Julie A. Elston,
David J. Purdon
source 5
SUGI 1984 A Hierarchical Approach to Daily Stock Market Forecasting Heydar Pourian source 6
SUGI 1984 Forecasting Customer Air Conditioner Loads and Load Drops for Electric Utility Load Management Program Planning Marjorie R. McRae,
Richard M. Scheer,
Bruce A. Smith,
Louise Weiler
source 4

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