Skip to contents

Equations 10.2, 10.4, 10.6, 10.8, 10.9, 10.23, 10.27 of Brus (2022): difference estimator, GLS coefficients (population and sample forms), the general and slope-form regression estimators, and the ratio estimator with its constant g-weight.

Usage

morie_model_assisted(
  m_all = NULL,
  z_sample = NULL,
  m_sample = NULL,
  pi_sample = NULL,
  n_population = NA,
  x = NULL,
  z = NULL,
  sigma2 = NULL,
  pi = NULL,
  x_all = NULL,
  b_hat = NULL,
  x_sample = NULL,
  zbar_pi = NA,
  b_hats = NULL,
  xbar_true = NULL,
  xbar_pi = NULL,
  t_pi_z = NA,
  t_pi_x = NA,
  t_x_true = NA
)

Arguments

m_all

Model predictions over the population.

z_sample, m_sample, pi_sample

Sample values, predictions, pi.

n_population

Population size.

x, z, sigma2, pi

GLS design pieces (x may be a matrix).

x_all, b_hat, x_sample

General-regression pieces.

zbar_pi, b_hats, xbar_true, xbar_pi

Slope-form pieces.

t_pi_z, t_pi_x, t_x_true

Ratio pieces.

Value

List with difference, gls_b, regr_general, regr_slopes, ratio, ratio_g (as supplied).

Examples

morie_model_assisted()
#> list()