Let Y be the variable of interest in a complex survey. Denote as the cumulative distribution for Y. For , the pth quantile of the population cumulative distribution function is

Let be the observed values for variable Y associated with sampling weights, where are the stratum index, cluster index, and member index, respectively, as shown in the section Definitions and Notation. Let denote the sample order statistics for variable Y.
An estimate of quantile is

where is the estimated cumulative distribution for Y:

and is the indicator function.
When you use VARMETHOD=TAYLOR, or by default if you do not specify the VARMETHOD= option, PROC SURVEYMEANS uses Woodruff’s method (Dorfman and Valliant, 1993; Särndal, Swensson, and Wretman, 1992; Francisco and Fuller, 1991) to estimate the variances of quantiles. This method first constructs a confidence interval on a quantile. Then it uses the width of the confidence interval to estimate the standard error of a quantile.
In order to estimate the variance for , first the procedure estimates the variance of the estimated distribution function by

where






Then % confidence limits for can be constructed by

where is the percentile of the t distribution with df degrees of freedom, described in the section Degrees of Freedom.
When is out of the range of [0,1], the procedure does not compute the standard error.
The th quantile is defined as

and the th quantile is defined as

The standard error of then is estimated by

where is the percentile of the t distribution with df degrees of freedom.
When you use the replication method, PROC SURVEYMEANS uses the usual variance estimates for a quantile as described in the section Replication Methods for Variance Estimation. However, you should proceed cautiously because this variance estimator can have poor properties (Dorfman and Valliant, 1993).
Symmetric % confidence limits are computed as

If you specify the NONSYMCL option in the SURVEYMEANS statement when you use VARMETHOD=TAYLOR option, the procedure computes % nonsymmetric confidence limits:
