| ProbSamplingI-package {ProbSamplingI} | R Documentation |
Design and Sampling Strategies for Parameter Estimation and Sample Size Determination.
Description
This package provides functions for selecting a sample and estimating parameters such as total, mean, proportion and ratio; through the main sampling designs.
Details
Index of help topics:
BER Bernoulli Sampling Design
CONGL Conglomerate Sampling
ESTRAT Stratified Sampling
M.MET Multi-Stage Sampling
MAS Simple Random Sampling Design without
Replacement
MCR Simple Random Sampling Design with Replacement
PPT Sampling Design with Replacement and Size
Proportional Selection Probabilities
PiPT Sampling Design without Replacement with
Proportional Inclusion Probabilities for Sizes
ProbSamplingI-package Design and Sampling Strategies for Parameter
Estimation and Sample Size Determination.
R.SIS R-Systematic Sampling Design
WHICH1 Positions of the components of a vector with
respect to another vector
n.ESTMAS Sample Size Through Stratified Sampling
n.MAS Sample Size Using Simple Random Sampling Design
Without Replacement
n.MASC Sample size using simple random sampling design
without conglomerate replacement.
Application of probabilistic sampling
Author(s)
Jorge Alberto Barón Cárdenas <jorgeabaron@correo.unicordoba.edu.co>
Guillermo Martínez Flórez <guillermomartinez@correo.unicordoba.edu.co>
Maintainer: Jorge Alberto Barón Cárdenas <jorgeabaron@correo.unicordoba.edu.co>
References
Särndal, C. E., J. H. Wretman, and C. M. Cassel (1992). Foundations of Inference in Survey Sampling. Wiley New York.
Cochran, W. G. (1977). Sampling Techniques, 3ra ed. New York: Wiley.
Thompson, S. K. (1945). Wiley Series in Probability and Statistics, Sampling, 1ra ed. United States of America.
[Package ProbSamplingI version 2.0 Index]