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A sequential analysis of hailfall data fitted to a gamma distribution function

dc.contributor.authorCox, William L., author
dc.contributor.authorSchleusener, Richard A., author
dc.contributor.authorColorado State University, Civil Engineering Section, publisher
dc.coverage.spatialColorado
dc.date.accessioned2019-09-17T18:50:38Z
dc.date.available2019-09-17T18:50:38Z
dc.date.issued1963-08
dc.descriptionCER63WLC33.
dc.descriptionIncludes bibliographical references.
dc.descriptionAssigned to hailstorms in the high plains project sponsored by the National Science Foundation.
dc.description.abstractThree computer programs which were written to aid the statistical analysis of hailfall data are discussed. Gamma distribution parameters of raw data, scale changed, and non-scale changed data are determined by the first program. The goodness of fit is determined in the second program using a chi square test. The last program performs a sequential analysis test on data as it is collected. This is done by assuming certain Type I and Type II errors and testing various scale and non-scale changes of the data. Square root of the dents, cube root of the dents, and logarithm of the indicator energy numbers (hail fall data) were analyzed using these programs. The results of these tests and detailed notes on each program are presented.
dc.description.sponsorshipUnder grant NSF G-23706.
dc.format.mediumtechnical reports
dc.identifier.urihttps://hdl.handle.net/10217/197988
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relationCatalog record number (MMS ID): 991012565969703361
dc.relation.ispartofCivil Engineering Reports
dc.relation.ispartofCER, 63-33
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subject.lcshHailstorms -- Colorado
dc.titleA sequential analysis of hailfall data fitted to a gamma distribution function
dc.typeText
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