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George C. J. Fernandez

40 papers and 1 presentation; 40 titles; 16 coauthors.

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Conference × Year × Title × Co-authors Extras Pages
SGF 2015 SAS Workshop: Forecasting [presentation] Catherine Truxillo,
Terry J. Woodfield		 source 52
SGF 2011 User-Friendly Childhood Obesity Screening Charts Using SAS/STAT Graphics source 8
WUSS 2010 A New and Simpler Way to Compute Body's "Maximum Weight Limit" source 12
SGF 2010 BMI Made Simple: What Is Your "Maximum Weight Limit? source 12
MWSUG 2009 Mixed Model Selection 19
WUSS 2009 Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling source 20
WUSS 2009 Trend Analyses of Health Indicator and Risky Health Behavior Variables in Nevada Moses Anabila source 9
WUSS 2009 Using SAS to Enhance Interviewer Productivity at the University-based Center for Research Design and Analysis Martha Rodriguez-Salazar source 11
WUSS 2009 Validating the Bland-Altman Method of Agreement Ryan Fernandez source 17
WUSS 2008 Quick and Complete Statistical Analyses Using SAS Enterprise Guide source 3
WUSS 2008 User-friendly SAS Macro Application for performing all possible mixed model selection - An update source 19
SGF 2008 Advanced Statistical and Graphical features of SAS PHREG Lida Gharibvand source 12
WUSS 2007 Survival Analysis Plots Using SAS ODS Graphics Lida Gharibvand source 10
PharmaSUG 2007 Effects of Multicollinearity in All Possible Mixed Model Selection 18
SGF 2007 Model Selection in PROC MIXED-A User-Friendly SAS Macro Application source 20
MWSUG 2006 All Possible Model Selection in Proc Mixed - A SAS macro application 19
WUSS 2006 Model Selection Methods in PROC MIXED source 19
SUGI 2006 Modeling Water Quality Trend in Long Term Time Series Anpalaki J. Ragavan source 10
SUGI 2006 Using SAS for Statistical Modeling of Nutrient Removal and Water Quality Aspects from Constructed Wetlands Rupali Mohansingh,
Keith E. Dennett		 source 11
WUSS 2003 Multiple Linear Regression Analysis of Percent of Students Taking the ACTs in Nevada High Schools Ramya R. Fernandez source 6
WUSS 2003 Principal Component Analysis, A Powerful Scoring Technique source 6
WUSS 2003 Regression Diagnostic Plots source 9
WUSS 2002 Multiple Linear Regression Analysis of Total Mercury Levels in Blood and Urine Samples Miki Yamauchi,
Stanley Omaye		 source 6
SUGI 2002 Discriminant Analysis, A Powerful Classification Technique in Data Mining source 9
WUSS 2001 Discriminant Analysis, A Powerful Classification Technique in Data Mining source 9
WUSS 2000 A Repeated Measurement of Analyzing the Qualities of Information from Different Web Sources Leping Liu source 6
WUSS 2000 SAS STAT applications in Econometrics Mathura Thillainathan source 10
WUSS 1999 A Logistic Regression on the Qualities of Educational Research: Characteristics of Publishable Articles Leping Liu source 5
WUSS 1999 Combining SAS Data Sets in Educational Research Leping Liu source 6
WUSS 1999 Seasonal Trend Analysis of Monthly Water Quality Data Jie Tian source 6
WUSS 1999 Study of Genotype x Environmental Interaction Effects - Using SAS MACROs for AMMI and Tai's Stability models Mathura Tillainathan source 6
SUGI 1999 Data Exploration Made Easy source 7
WUSS 1998 Multiple Regression and Model Selection on Developing a Computer Achievement Model Leping Liu source 6
WUSS 1998 Quick Results from Statistical Analysis - An Alternative Approach to the Popular Menu Interface Systems source 8
WUSS 1997 Diagnostic Plots in Regression Analysis source 8
WUSS 1997 Repeated Measures Analysis on Preservice Teachers' Attitudes Towards the Subjects Taught in School Leping Liu source 6
SUGI 1997 Detection of Model Specification, Outlier, and Multicollinearity in Multiple Linear Regression Models Using Partial Regression/Residual Plots source 6
WUSS 1996 Comparison of Different SAS Modules for Effective Data Analyses source 2
WUSS 1996 Multicollinearity in Regression Models: Detection and Remedial Measures Using the SAS System source 9
WUSS 1995 Heteroskedasticity in Regression Model - Detection and Remedial Measures Using SAS 6.10 source 10
WUSS 1994 An Effective Method to Construct Coefficients in CONTRAST and ESTIMATE Statements Used in ANOVA source 17

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