gamlss.data (version 5.1-4)

film90: Film revenue data for the 1990's

Description

Data from film revenues from the 1990s'.

Usage

data(film90)

Arguments

Format

A data frame with 4031 observations on the following 14 variables.

% \item{\code{time}}{Date of release of the film} % \item{\code{year}}{the year of release of the film} % \item{\code{month}}{a factor, the month of release of the film} % \item{\code{title}}{a factor indicating the tittle of the film} % \item{\code{borev0}}{real box office revenues, calculated in 1987 prices} % \item{\code{lborev0}}{the log of real box office revenues, calculated in 1987 prices} % \item{\code{nosc}}{the number of screens}
lnosc

the log of the number of screens

% \item{\code{boopen}}{box office opening revenues calculated in 1987 prices}
lboopen

the log of box office opening revenues

% \item{\code{borev1}}{the box office revenues after the first week, \code{borev0-boopen}}
lborev1

the log of box office revenues after the first week

dist

a factor indicating whether Independent or Major distributor

% \item{\code{whetherCost}}{a factor with levels \code{0} \code{1} indication whether the original data has the cost of the film to make}

Details

Those data are data analysed in Voudouris et. al. (2011) suitably anonymised.

References

Gilchrist, R., Rigby, R., Sedgwick, J., Stasinopoulos, S., Voudouris, V. (2011) Forecasting film revenues using GAMLSS, in Proceedings of the 26th International Workshop on Statistical Modeling ed: Conesa, D., Forte, A., Lopez-Quilez, A., Munoz, F., 263-268, Valencia, Spain.

Voudouris V., Gilchrist R., Rigby R., Sedgwick J. and Stasinopoulos D. (2011) Modelling skewness and kurtosis with the BCPE density in GAMLSS. Journal of Applied Statistics

Examples

Run this code
# NOT RUN {
data(film90)
# }

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