Statistical Inference for Weighted Data
\insertCite bose2022;textualWData local bandwidth selector for \insert...
\insertCite borrajo2017;textualWData bootstrap bandwidth selector for ...
\insertCite borrajo2017;textualWData bootstrap bandwidth selector for ...
Cross-validation bandwidth selector for \insertCite jones1991;textualW...
Rule of thumb bandwidth selector for \insertCite jones1991;textualWDat...
Cross-validation bandwidth selector for \insertCite bose2022;textualWD...
Plug-in bandwidth selector for \insertCite bose2022;textualWData kerne...
Rule of thumb bandwidth selector for \insertCite bose2022;textualWData...
\insertCite bose2022;textualWData kernel distribution estimator
\insertCite cox2005;textualWData distribution estimator
\insertCite bhattacharyya1988;textualWData density estimator
\insertCite jones1991;textualWData kernel density estimator
Generate a biased sample using \insertCite neumann1951;textualWData ac...
WData: Statistical Inference for Weighted Data
Analyzes and models data subject to sampling biases. Provides functions to estimate the density and cumulative distribution functions from biased samples of continuous distributions. Includes the estimators proposed by Bhattacharyya et al. (1988) <doi:10.1080/03610928808829825> and Jones (1991) <doi:10.2307/2337020> for density, and by Cox (2005, ISBN:052184939X) and Bose and Dutta (2022) <doi:10.1007/s00184-021-00824-3> for distribution, with different bandwidth selectors. Also includes a real length-biased dataset on shrub width from Muttlak (1988) <https://www.proquest.com/openview/3dd74592e623cdbcfa6176e85bd3d390/1?cbl=18750&diss=y&pq-origsite=gscholar>.