Airborne Variations {DataSetsUni}

Variations in airborne exposure on the concentration of urinary metabolites

Description

The function allows to provide the effects of variations in airborne exposure on the concentration of urinary metabolites.

Usage

data_airborne

Arguments

data_airborne

A vector of (non-negative integer) values.

Details

The data relates to the effects of variations in airborne exposure on the concentration of urinary metabolites. Recently, it is used by Peter et al. (2021) and fitted the Gamma odd Burr III-G family of distributions.

Value

data_airborne gives the effects of variations in airborne exposure on the concentration of urinary metabolites.

Author(s)

Muhammad Imran.

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

References

Peter, P. O., Oluyede, B., Bindele, H. F., Ndwapi, N., & Mabikwa, O. (2021). The Gamma Odd Burr III-G Family of Distributions: Model, Properties and Applications. Revista Colombiana de Estadística, 44(2), 331-368.

Kumagai, S., & Matsunaga, I. (1995). Physiologically based pharmacokinetic model for acetone. Occupational and environmental medicine, 52(5), 344-352.

See Also

data_analgesic, data_dpatients

Examples

x<-data_airborne
summary(x)