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- Title
Goodness‐of‐fit tests for distributions estimated from complex survey data.
- Authors
Lohr, Sharon L.; Riddles, Minsun K.; Brick, J. Michael
- Abstract
We propose nonparametric procedures for comparing the empirical distribution function of data from a complex survey with a hypothesized parametric reference distribution. The hypothesized distribution may be fully specified, or it may be a family with the parameters to be estimated from the data. Of the procedures studied, a modification of the Cramér–von Mises test proposed by Lockhart, Spinelli & Stephens [Lockhart, Spinelli and Stephens, The Canadian Journal of Statistics 2007; 35, 125–133] is supported theoretically and performs well in two simulation studies. The methods are applied to examine the distribution of body mass index in the U.S. National Health and Nutrition Examination Survey. The Canadian Journal of Statistics 47: 409–425; 2019 © 2019 Statistical Society of Canada
- Subjects
CANADA; GOODNESS-of-fit tests; HEALTH &; Nutrition Examination Survey; BODY mass index
- Publication
Canadian Journal of Statistics, 2019, Vol 47, Issue 3, p409
- ISSN
0319-5724
- Publication type
Article
- DOI
10.1002/cjs.11501