calculate_pre: Calculate Percentage Relative Efficiency (PRE)

In neutroSurvey: Neutrosophic Survey Data Analysis

Calculate Percentage Relative Efficiency (PRE)

Description

Computes the Percentage Relative Efficiency (PRE) of different MSE estimators relative to the regression estimator MSE. PRE values greater than 100 indicate better efficiency than the regression estimator, while values less than 100 indicate worse efficiency.

Usage

calculate_pre(result_all_mse)

Arguments

result_all_mse

A list containing MSE results from calculate_all_mse_neutrosophic

Value

A list containing PRE values for each estimator type:

• PRE_t0 - PRE for standard MSE estimator

• PRE_t1 - PRE for ratio-adjusted MSE estimator

• PRE_t2 - PRE for kurtosis-adjusted MSE estimator

• PRE_exp - PRE for exponential MSE estimator

• PRE_r - Reference value (100) for regression estimator

See Also

calculate_all_mse_neutrosophic for generating the input MSE values

Examples

data(japan_neutro)
metrics <- compute_all_metrics(japan_neutro)
mse_results <- calculate_all_mse_neutrosophic(
  0.01, 0.02,
  metrics$mean_interval_Y[1], metrics$mean_interval_Y[2],
  metrics$mean_interval_X[1], metrics$mean_interval_X[2],
  metrics$cv_interval_X[1], metrics$cv_interval_X[2],
  metrics$cv_interval_Y[1], metrics$cv_interval_Y[2],
  metrics$correlation_results[1], metrics$correlation_results[2],
  metrics$kurtosis_interval_X[1], metrics$kurtosis_interval_X[2]
)
pre_results <- calculate_pre(mse_results)
print(pre_results)

neutroSurvey documentation built on June 23, 2025, 5:08 p.m.