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Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference / / edited by Jan Rychtář, Sat Gupta, Ratnasingham Shivaji, Maya Chhetri



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Titolo: Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference / / edited by Jan Rychtář, Sat Gupta, Ratnasingham Shivaji, Maya Chhetri Visualizza cluster
Pubblicazione: New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Edizione: 1st ed. 2013.
Descrizione fisica: 1 online resource (171 p.)
Disciplina: 519.5
Soggetto topico: Statistics 
Statistical Theory and Methods
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Statistics, general
Persona (resp. second.): RychtářJan
GuptaSat
ShivajiRatnasingham
ChhetriMaya
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 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.
Sommario/riassunto: 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. .
Titolo autorizzato: Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference  Visualizza cluster
ISBN: 1-4614-9332-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910437868103321
Lo trovi qui: Univ. Federico II
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Serie: Springer Proceedings in Mathematics & Statistics, . 2194-1009 ; ; 64