Abstract
It often happens that data from several populations is mixed and information about which subpopulation gave rise to individual data points is unavailable. For example, measurements of life lengths of a device may be gathered without regard to the manufacturer, or data may be gathered on humans without regard, say, to blood type. If the ignored variable (manufacturer or blood type) has a bearing on the characteristic being measured, then the data are said to come from a mixture.
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© 2007 Springer
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Marshall, A.W., Olkin, I. (2007). Mixtures. In: Life Distributions. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-68477-2_3
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DOI: https://doi.org/10.1007/978-0-387-68477-2_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-20333-1
Online ISBN: 978-0-387-68477-2
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