TeachingSampling (version 4.1.1)

E.BE: Estimation of the Population Total under Bernoulli Sampling Without Replacement

Description

Computes the Horvitz-Thompson estimator of the population total according to a BE sampling design

Usage

E.BE(y, prob)

Arguments

y

Vector, matrix or data frame containing the recollected information of the variables of interest for every unit in the selected sample

prob

Inclusion probability for each unit in the population

Value

The function returns a data matrix whose columns correspond to the estimated parameters of the variables of interest

Details

Returns the estimation of the population total of every single variable of interest, its estimated standard error and its estimated coefficient of variation under an BE sampling design

References

Sarndal, C-E. and Swensson, B. and Wretman, J. (1992), Model Assisted Survey Sampling. Springer. Gutierrez, H. A. (2009), Estrategias de muestreo: Diseno de encuestas y estimacion de parametros. Editorial Universidad Santo Tomas.

See Also

S.BE

Examples

# NOT RUN {
# Uses the Lucy data to draw a Bernoulli sample
data(Lucy)
attach(Lucy)

N <- dim(Lucy)[1]
n=400
prob=n/N
sam <- S.BE(N,prob)
# The information about the units in the sample is stored in an object called data
data <- Lucy[sam,]
attach(data)
names(data)
# The variables of interest are: Income, Employees and Taxes
# This information is stored in a data frame called estima
estima <- data.frame(Income, Employees, Taxes)
E.BE(estima,prob)
# }