compare_estimators: Compare variance estimators via simulation

In brycefrank/spsys: Systematic Variance Estimation

Description

This function accepts a SysFrame that is treated as a population. All possible systematic samples for a given sampling interval are made and all estimators specified in estimators are used to estimate the variance for that sample. The variance estimates for each sample are returned along with other information, e.g. the population means, variances etc.

Usage

compare_estimators(sys_frame, a_vec, estimators)

Arguments

sys_frame	A population from which to sample
a_vec	A vector of integers representing the sampling intervals desired for assessment
estimators	A named list of constructed estimator functions

Details

The outputs of this function can be used to create mean squared errors, biases and other assessments of the estimators.

Value

A named list containing three dataframes

• 'est_frame' - A dataframe of the variance estimates

• 'pop_frame' - A dataframe of population parameters

• 'sys_frame' - A dataframe of true systematic variances

brycefrank/spsys documentation built on Aug. 1, 2020, 12:21 a.m.