Summary of survey software: Methods
This is a summary of the information included under the heading
"Methods used for variance estimation" for each of the
software packages described on these pages. Select the appropriate
title for more information on any package.
Mainly through Taylor Series methods. Methods based on replication
(Jackknife, Balanced repeated, Bootstrap) are available for some analyses.
Bascula uses Balanced Repeated Replication (BRR) and Taylor series methods for
variance estimation.
No information on this topic for this package
Taylor linearisation.
Taylor linearized deviation approach.
Jackknife or design-based formulae for the Generalized Regression
(GREG) estimator with Taylor linearization for non-linear parameters.
Jackknife and/or Taylor series approaches. Multiple imputation for missing
data.
Taylor linearization.
- Taylor series linearization
- Replication weighting
Taylor expansion.
- Linearization estimator
- The jackknife (with either the set of weights specified by the
user, or through direct calculation)
- BRR (with either the set of weights specified by the user, or with
an Hadamard matrix specified by the user) with Fay corrections
- The bootstrap estimation can be performed with user add-ons
(-bs4rw- command)
- The type of variance estimator can be specified as a design option
(and thus saved with data), or requested at time of estimation
- Warnings are issued for strata with a single PSU or no PSUs in
domain estimation. In the former case, the user can have
standard errors calculated by treating singleton PSUs as
selected with certainty, or by scaling variances from other
strata, or reported as missing
The Taylor series linearization method (GEE for regression models) is
used combined with variance estimation formulas specific to the sample
design. The user does not need to develop special replicate weights
since the sample design can be specified directly to the program.
Jackknife and Balanced Repeated Replication (BRR) variance estimation is
also supported.
Replication methods, primarily the jackknife. Half-sample replication
and random group replication are also available, and the weights associated
with these schemes may be modified by the user.
Balanced repeated replication (including the Fay method), jackknife
(several variants) and other replication methods specified by users
through the development of replicate weights (e.g., bootstrap).
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