RM_beta_eblue: Traditional EBLUE Estimator of Beta

In agfh: Agnostic Fay-Herriot Model for Small Area Statistics

Traditional EBLUE Estimator of Beta

Description

Traditional EBLUE Estimator of Beta

Usage

  RM_beta_eblue(X, Y, D, theta_var_est)

Arguments

X	observed independent data to be analyzed
Y	observed dependent data to be analyzed
D	known precisions of response Y
theta_var_est	estimate of variance term for latent model

Details

Traditional EBLUE estimator of beta.

Value

Returns a vector estimate of beta.

Source

Marten Thompson [e-mail]

Examples

  X <- matrix(1:10, ncol=1)
  Y <- 2*X + rnorm(10, sd=1.1)
  D <- rep(1, 10)
  th.var.est <- 0.1
  RM_beta_eblue(X, Y, D, th.var.est)

agfh documentation built on July 9, 2023, 6:44 p.m.