On the Transmuted Frechet Distribution

By M. Mahmoud, R. Mandouh. 2013

107 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/96a847cd32fb253990f653bd83a9cfb56ae359dc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Haitham M. Yousof
2. Ahmed Z. Afify
3. Gauss Moutinho Cordeiro
4. Mohamed E. Mead
5. Morad Alizadeh
6. Saralees Nadarajah
7. G. Hamedani
8. Ayman Alzaatreh

Citations in the corpus

• Expanded Fréchet Model: Mathematical Properties, Copula, Different Estimation Methods, Applications and Validation Testing (2020, background): “Model Estimates a b c β θ OB-F 7.5535 0.4841 1.1588 (1.13) (0.184) (0.192) OLL-EF 0.1449 0.0088 1.2997 24.878 (0.013) (0.000) (0.000) (0.000) OLL-EIR 0.5025 0.0716 1.7048 (0.053) (1.1306) (13.47) OLL-IR 0.50251 0.45599 0.05295 0.04865 F 1.4108 5.4377 (0.0344) (0.5192) Kum-F 0.2855 1.2824 1.9142 4.77”
• The Beta Exponential Fréchet Distribution with Applications (2017, background): “, 2011), transmuted Fréchet (TFr) (Mahmoud and Mandouh, 2013), gamma extended Fréchet (GEFr) (Silva et al.”
• The Weibull Fréchet distribution and its applications (2016, methodology): “For example, Nadarajah and Kotz [15] pioneered the exponentiated Fr, Nadarajah and Gupta [14] and Barreto-Souza et al. [4] studied the beta Fr, Mahmoud and Mandouh [11] proposed the transmuted Fr, Krishna et al. [10] introduced the Marshall–Olkin Fr, da Silva et al. [19] defined the gamma extended F”
• The Kumaraswamy Transmuted-G Family of Distributions: Properties and Applications (2021, methodology): “…generalized Rayleigh (ETGR) (Afify et al. 2015), transmuted Marshall-Olkin Fréchet (TMOFr) (Afify et al., 2015), transmuted Fréchet (TFr) (Mahmoud and Mandouh, 2013) and Marshall-Olkin Fréchet (MOFr) (Krishna et al, 2013) distributions with pdf’s (for x > 0) given by 262 The Kumaraswamy…”
• The Transmuted Marshall-Olkin Fr\'{e}chet Distribution: Properties and Applications (2015, background): “…studied the exponentiated Fréchet (EFr), Nadarajah and Gupta (2004) and Barreto-Souza et al. (2011) independently introduced the beta Fréchet (BFr), Mahmoud and Mandouh (2013) proposed the transmuted Fréchet (TFr), Silva et al. (2013) proposed the gamma extended Fréchet (GEFr), Elbatal et al.…”
• The beta transmuted-H family for lifetime data (2017, background): “The BT-Fr distribution includes the transmuted Fréchet (T-Fr) distribution (Mahmoud and Mandouh [22]) when a = b = 1.”
• General Results for the Transmuted Family of Distributions and New Models (2016, unknown): “[15] M. R. Mahmoud and R. M. Mandouh, “On the transmuted Fréchet distribution,” Journal of Applied Sciences Research, vol. 9, no. 10, pp. 5553–5561, 2013.”
• The Exponentiated Weibull-H Family of Distributions: Theory and Applications (2017, background): “Here, we use these data to compare the fit of the EWFr model with those of the following models: Kumaraswamy Fréchet (KwFr) (Mead and Abd-Eltawab [11]), exponentiated Fréchet (EFr) (Nadarajah and Kotz [15]), beta Fréchet (BFr) (Nadarajah and Gupta [14]), gamma extended Fréchet (GEFr)(Silva et al”
• Lomax inverse Weibull model: properties, applications, and a modified Chi-squared goodness-of-fit test for validation (2020, background): “[1])), exponentiated IW (EIW) (Nadarajah and Kotz [26]), Kumaraswamy IW (KumIW) (Mead [23]), beta IW (BIW) (Nadarajah and Gupta [25]), transmuted IW (TIW) (Mahmoud and Mandouh, [22]), gamma extended IW (GEIW) (da Silva et.”