Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference [electronic resource] /
Annual UNCG Regional Mathematics and Statistics Conference(8th :2012 :University of North Carolina, Greensboro, N.C.)
Rychtář, Jan.editor.
Gupta, Sat.editor.
Shivaji, Ratnasingham.editor.
Chhetri, Maya.editor.
The Annual University of North Carolina Greensboro Regional Mathematics and Statistics Conference (UNCG RMSC) has provided a venue for student researchers to share their work since 2005. The 8th Conference took place on November 3, 2012. The UNCG-RMSC conference established a tradition of attracting active researchers and their faculty mentors from NC and surrounding states. The conference is specifically tailored for students to present the results of their research and to allow participants to interact with and learn from each other. This type of engagement is truly unique. The broad scope of UNCG-RMSC includes topics in applied mathematics, number theory, biology, statistics, biostatistics and computer sciences. .
Description based upon print version of record.
Includes bibliographical references.
Preface -- Promoting Undergraduate Research in Mathematics -- A program Making a Difference in Quantitative Sciences -- Quantitative Methods in Biomedical Applications: Creative Inquiry and Digital Learning Environments to Engage and Mentor STEM Students in Mathematics.
The Annual University of North Carolina Greensboro Regional Mathematics and Statistics Conference (UNCG RMSC) has provided a venue for student researchers to share their work since 2005. The 8th Conference took place on November 3, 2012. The UNCG-RMSC conference established a tradition of attracting active researchers and their faculty mentors from NC and surrounding states. The conference is specifically tailored for students to present the results of their research and to allow participants to interact with and learn from each other. This type of engagement is truly unique. The broad scope of UNCG-RMSC includes topics in applied mathematics, number theory, biology, statistics, biostatistics and computer sciences. .
Statistics .
Statistical Theory and Methods.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Statistics, general.