var_pois: Variance estimator for a Poisson sampling design
In martinchevalier/gustave: A User-Oriented Statistical Toolkit for Analytical Variance Estimation
View source: R/variance_function.R
var_pois R Documentation
Variance estimator for a Poisson sampling design
Description
var_pois estimates the variance of the estimator
of a total for a Poisson sampling design.
Usage
var_pois(y, pik, w = rep(1, length(pik)))
Arguments
y
A (sparse) numerical matrix of the variable(s) whose variance of their total
is to be estimated.
pik
A numerical vector of first-order inclusion probabilities.
w
An optional numerical vector of row weights (see Details).
Details
w is a row weight used at the final summation step. It is useful
when var_pois is used on the second stage of a two-stage sampling
design applying the Rao (1975) formula.
Value
The estimated variances as a numerical vector of size the number of
columns of y.
Author(s)
Martin Chevalier
References
Rao, J.N.K (1975), "Unbiased variance estimation for multistage designs",
Sankhya, C n°37
martinchevalier/gustave documentation built on Jan. 15, 2024, 11:56 p.m.
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View source: R/variance_function.R
| var_pois | R Documentation |
Variance estimator for a Poisson sampling design
Description
var_pois estimates the variance of the estimator
of a total for a Poisson sampling design.
Usage
var_pois(y, pik, w = rep(1, length(pik)))
Arguments
y |
A (sparse) numerical matrix of the variable(s) whose variance of their total is to be estimated. |
pik |
A numerical vector of first-order inclusion probabilities. |
w |
An optional numerical vector of row weights (see Details). |
Details
w is a row weight used at the final summation step. It is useful
when var_pois is used on the second stage of a two-stage sampling
design applying the Rao (1975) formula.
Value
The estimated variances as a numerical vector of size the number of
columns of y.
Author(s)
Martin Chevalier
References
Rao, J.N.K (1975), "Unbiased variance estimation for multistage designs", Sankhya, C n°37
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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