Alcohol_data: Alcohol data

In fitODBOD: Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD

Alcohol data

Description

Lemmens , Knibbe and Tan(1988) described a study of self reported alcohol frequencies. The no of alcohol consumption data in two reference weeks is separately self reported by a randomly selected sample of 399 respondents in the Netherlands in 1983. Number of days a given individual consumes alcohol out of 7 days a week can be treated as a binomial variable. The collection of all such variables from all respondents would be defined as "Binomial Outcome Data".

Usage

Alcohol_data

Format

A data frame with 3 columns and 8 rows.

Days

No of Days Drunk

week1

Observed frequencies for week1

week2

Observed frequencies for week2

Source

Extracted from

Manoj, C., Wijekoon, P. & Yapa, R.D., 2013. The McDonald Generalized Beta-Binomial Distribution: A New Binomial Mixture Distribution and Simulation Based Comparison with Its Nested Distributions in Handling Overdispersion. International Journal of Statistics and Probability, 2(2), pp.24-41.

Available at: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.5539/ijsp.v2n2p24")}

Examples

Alcohol_data$Days          # extracting the binomial random variables
sum(Alcohol_data$week2)       # summing all the frequencies in week2

fitODBOD documentation built on Oct. 10, 2024, 5:07 p.m.