SOCR Acknowledgments
A number of outside academic, non-profit and industrial
resource were also utilized in the SOCR development. We have used
ideas, design, resources and models from Elementary
Statistics Java Applets, Statlets, Rice Virtual Lab
in Statistics, WebStat,
Statiscope,
PsychStat, BisinessStat,
Probability
by Surprise, Web Interface
for Statistics Education, CUWU Stats,
PSOL, StatLab,
Virtual Labs in
Probability & Statistics, JavaStat,
Vistac, JSci, CyberStat, JFreeChart,
and
many other groups, organizations, student projects, research, clinical
and
teaching resources.
The major developers and contributors to the SOCR resource include: Jenny Cui, Annie Chu, Juana Sanchez, Nicolas Christou (SOCR Co-Director), Robert Gould, Don Ylvisaker, Rahul Gidwani, Priscilla Chui, Siu-Ling Teresa Lam and Ivo Dinov, the SOCR Director. Many other UCLA faculty and graduate students in Statistics, Computer Science, LONI, CCB, Neurology and Biomedical Engineering have also contributed. Most notably: Fotios Konstantinidios, Jianming Hu, Jason Landerman, Hui Wang, Petros Efstathopoulos, Linda Capetillo-Cunliffe, Anuradha Sachdev and Blake Haas, Sam Prabhu Rubandhas and Dushyanth Krishnamurthy.
The SOCR resource is funded in part by an NSF grants DUE 0716055 & 0442992, under the CCLI mechanism, and by an NIH Roadmap for Medical Research, NCBC Grant U54 RR021813.
The major developers and contributors to the SOCR resource include: Jenny Cui, Annie Chu, Juana Sanchez, Nicolas Christou (SOCR Co-Director), Robert Gould, Don Ylvisaker, Rahul Gidwani, Priscilla Chui, Siu-Ling Teresa Lam and Ivo Dinov, the SOCR Director. Many other UCLA faculty and graduate students in Statistics, Computer Science, LONI, CCB, Neurology and Biomedical Engineering have also contributed. Most notably: Fotios Konstantinidios, Jianming Hu, Jason Landerman, Hui Wang, Petros Efstathopoulos, Linda Capetillo-Cunliffe, Anuradha Sachdev and Blake Haas, Sam Prabhu Rubandhas and Dushyanth Krishnamurthy.
The SOCR resource is funded in part by an NSF grants DUE 0716055 & 0442992, under the CCLI mechanism, and by an NIH Roadmap for Medical Research, NCBC Grant U54 RR021813.
