The Exponentiated Kumaraswamy-Weibull Distribution with Application to Real Data
Autor: | Fathy H. Eissa |
---|---|
Rok vydání: | 2017 |
Předmět: |
Hazard (logic)
020209 energy Mode (statistics) Probability density function 02 engineering and technology 01 natural sciences Exponential function 010104 statistics & probability Distribution (mathematics) Statistics 0202 electrical engineering electronic engineering information engineering Applied mathematics 0101 mathematics Exponentiated Weibull distribution Weibull distribution Parametric statistics Mathematics |
Zdroj: | International Journal of Statistics and Probability. 6:167 |
ISSN: | 1927-7040 1927-7032 |
DOI: | 10.5539/ijsp.v6n6p167 |
Popis: | A new five-parameter lifetime distribution called the exponentiated Kumaraswamy-Weibull distribution is introduced. It includes several important sub-models as special cases such as exponentiated Weibull, Kumaraswamy-Weibull, exponentiated exponential, exponentiated Rayleigh and Weibull. Essential mathematical and statistical properties for the distribution are presented. A proximate form of the mode is derived and it can be used to derive mode forms of other well-known distributions. Important parametric characterizations for probability density and hazard functions are discussed. The estimation of the parameters by maximum likelihood method is discussed. Three real data sets are used to show its excellent performance fit over existing popular lifetime models. It is effective model to analyze several positive data sets. |
Databáze: | OpenAIRE |
Externí odkaz: |