The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Neutrosophic PPS Sampling: Lahiri Method with NHT and NGREG Estimators
neutroPPS implements a complete framework for
Neutrosophic Probability Proportional to Size Without
Replacement (PPSWOR) sampling and estimation using
interval-valued (neutrosophic) data.
neutro_pps()Performs the full pipeline: - Population summary - Lahiri PPSWOR
sampling (using Auxili_min as size measure) - Neutrosophic
first- and second-order inclusion probabilities - Neutrosophic
Horvitz-Thompson (NHT) and Neutrosophic Generalized Regression (NGREG)
estimators - Variance, CV, and relative efficiency measures
install.packages("neutroPPS")
library(neutroPPS)data_neutro <- data.frame(
Auxili_min = c(10, 15, 20, 25, 30),
Auxili_max = c(12, 18, 25, 32, 40),
Study_min = c(50, 60, 75, 90, 110),
Study_max = c(55, 70, 85, 105, 130)
)
res <- neutro_pps(data_neutro, n = 2, seed = 12, verbose = TRUE)
res$ht # View NHT results
res$greg # View NGREG resultsCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 9780471162407.
Lahiri, D. B. (1951). A method of sample selection providing unbiased ratio estimates. Bulletin of the International Statistical Institute, 33, 133–140. https://cir.nii.ac.jp/crid/1370588381061610886/
Särndal, C. E., Swensson, B., & Wretman, J. (1992). Model Assisted Survey Sampling. Springer. ISBN: 9780387975283.
Smarandache, F. (2014). Introduction to Neutrosophic Statistics. Infinite Study. https://digitalrepository.unm.edu/math_fsp/40/
GPL-3
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.