A normed measures of variability among proportions
dc.contributor.author | Coffey, Mary P. | en_US |
dc.contributor.author | Feingold, Marcia | en_US |
dc.contributor.author | Bromberg, Judith | en_US |
dc.date.accessioned | 2006-04-07T20:06:37Z | |
dc.date.available | 2006-04-07T20:06:37Z | |
dc.date.issued | 1988-12 | en_US |
dc.identifier.citation | Coffey, Mary P., Feingold, Marcia, Bromberg, Judith (1988/12)."A normed measures of variability among proportions." Computational Statistics & Data Analysis 7(2): 127-141. <http://hdl.handle.net/2027.42/27023> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6V8V-45F5VBR-1B/2/47c28dcf8aed1d48253db374c1658c12 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/27023 | |
dc.description.abstract | A measure of variability among a set of proportions is developed. There are no distributional assumptions, so the measure, H, is applicable in a wide variety of situations. H is scaled so that its range is zero (all proportions are equal) to one (maximum variability among the proportions, given the weighted average). The measure can be interpreted as a distance: the value of H indicates the position of the proportions relative to the possible extremes of no variability or maximum variability. Any set of constant weights can be applied to the proportions: the weights are used to compute the weighted average proportion and are also used to determine the extent to which each proportion affects the variability measure. Comparisons are made to other measures of variability and a numerical example is given. | en_US |
dc.format.extent | 993854 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | A normed measures of variability among proportions | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Mathematics | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics, The University of Michigan, Ann Arbor, MI 48109, USA | en_US |
dc.contributor.affiliationother | Department of Mathematical Sciences, Oakland University, Rochester, MI 48309, USA | en_US |
dc.contributor.affiliationother | Division of Biostatistics and Research Epidemiology, Henry Ford Hospital, Detroit, MI 48202, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/27023/1/0000011.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0167-9473(88)90088-6 | en_US |
dc.identifier.source | Computational Statistics & Data Analysis | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.