ERIC Number: EJ1056638
Record Type: Journal
Publication Date: 2015
Abstractor: As Provided
Reference Count: 30
Modeling Raindrop Size
Johnson, Roger W.; Kliche, Donna V.; Smith, Paul L.
Journal of Statistics Education, v23 n1 2015
Being able to characterize the size of raindrops is useful in a number of fields including meteorology, hydrology, agriculture and telecommunications. Associated with this article are data sets containing surface (i.e. ground-level) measurements of raindrop size from two different instruments and two different geographical locations. Students may begin to develop some sense of the character of raindrop size distributions through some basic exploratory data analysis of these data sets. Teachers of mathematical statistics students will find an example useful for discussing the beta, gamma, lognormal and Weibull probability density models, as well as fitting these by maximum likelihood and assessing the quality of fit. R software is provided by the authors to assist students in these investigations.
Descriptors: Data Analysis, Meteorology, Weather, Measurement Techniques, Statistics, Mathematical Formulas, Probability, Maximum Likelihood Statistics, Goodness of Fit, Investigations, Educational Practices, Statistical Data, Statistical Distributions, Models, Problem Solving
American Statistical Association. 732 North Washington Street, Alexandria, VA 22314. Tel: 703-684-1221; Tel: 888-231-3473; Fax: 703-684-2037; e-mail: email@example.com; Web site: http://www.amstat.org/publications/jse
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A