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Abstract Details
Activity Number:
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336
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Education
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Abstract - #306019 |
Title:
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Bivariate Normal Distribution: A New SOCR Applet
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Author(s):
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Scott Kamino*+ and Ivo D Dinov and Nicolas Christou
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Companies:
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University of California at Los Angeles and SOCR Resource and University of California at Los Angeles
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Address:
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10933 Rochester Ave., Los Angeles, CA, 90024, United States
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Keywords:
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bivariate normal ;
sequential ;
Cholesky ;
SOCR ;
Java applets ;
density functions
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Abstract:
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In this paper we present a new applet of the NSF-funded Statistics Online Computational Research (SOCR) project for the bivariate normal distribution. This 3-D applet allows the user to compute probabilities and quantiles for the joint, marginal, and conditional probability density functions. Sampling from the bivariate normal distribution sequentially and using the Cholesky decomposition method is also available. In addition this Java based applet provides useful visualization tools for greater understanding of the bivariate normal distribution.
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