saebnocov (version 0.1.0)

EBnaive: Small Area Estimation method with Empirical Bayes and its RRMSE value by Naive Method

Description

Small Area Estimation method with Empirical Bayes and its RRMSE value by Naive Method

Usage

EBnaive(data, method, opt, maxiter = 100, tol = 1e-05)

Value

This function returns a list with following objects :

finalres

an information about direct estimatior and EB estimator in each area

estimation

an information about EB estimator and its RRMSE value obtained by Naive method

parameter

Alpha and beta estimator

pcap

pcap (the weighted sample mean), vardir (the weighted sample variance),yt (the total number of the "success" category from each area), and nt (the total number of sample from each area)

dir.est

an information about direct estimator

Arguments

data

the data must contain two or three columns : code, y, and weight data if exist.

method

Method to estimate alpha and beta parameter according to person(rao or claire)

opt

Method to estimate alpha and beta parameter according to the way of calculation (moment or nr)

maxiter

the Maximum iteration value with default 100

tol

Tolerance error value at iteration with default 0.00001

Examples

## load dataset with no weight value
data(dataEB)
## Calculates EB estimator
## with its RRMSE value by Naive method.
## Its alpha and beta estimator obtained
## by Moment method by J.N.K.Rao
EBnaive(data = dataEB[,-c(3)],method = "rao",opt = "moment", maxiter = 100, tol = 1e-5)

##load dataset with weight value
data(dataEB)
## Calculates EB estimator
## with its RRMSE value by Naive method.
## Its alpha and beta estimator obtained
## by Moment method by Claire E.B.O.
EBnaive(data = dataEB, method = "claire",opt = "moment", maxiter = 100, tol = 1e-5)