Provides neutrosophic extensions of Lahiri's method to select a random sample of size n using probability proportional to size without replacement (PPSWOR) sampling. It computes the corresponding neutrosophic inclusion probabilities and provides estimates of the population total and mean using both the neutrosophic Horvitz Thompson (NHT) estimator and the neutrosophic generalized regression (NGREG) estimator and its percent relative efficiency.
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:
Auxili_min as size measure)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 results
Cochran, 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