data_wildfire: The data show the number of major US wildfires

In DDPM: Data Sets for Discrete Probability Models

The data show the number of major US wildfires

Description

The function gives the number of major US wildfires per year from 1997 through 2012.

Usage

data_wildfire

Arguments

data_wildfire

A vector of (non-negative integer) count values.

Details

The data show the number of major US wildfires per year from 1997 through 2012. Recently, they were used by Beckett et al. (2014) and fitted by the zero-inflated Poisson (ZIP) distribution.

Value

data_wildfire gives the number of major US wildfires per year from 1997 through 2012.

Author(s)

Muhammad Imran

R implementation and documentation: Muhammad Imran [e-mail].

References

Beckett, S., Jee, J., Ncube, T., Pompilus, S., Washington, Q., Singh, A., & Pal, N. (2014). Zero-inflated Poisson (ZIP) distribution: Parameter estimation and applications to model data from natural calamities. Involve, a Journal of Mathematics, 7(6), 751-767.

See Also

data_earthq

Examples

x<-data_wildfire
summary(x)
table (x)

DDPM documentation built on July 9, 2023, 6:17 p.m.