Inference for a general family of inverted exponentiated distributions under unified hybrid censoring with partially observed competing risks data

S Dutta; Tony Ng; S Kayal

Inference for a general family of inverted exponentiated distributions under unified hybrid censoring with partially observed competing risks data

S Dutta
, Tony Ng
, S Kayal

Mathematical Sciences

Research output: Contribution to journal › Article

Original language	English
Pages (from-to)	114934
Journal	Journal of Computational and Applied Mathematics
Volume	422
State	Published - 2023

Cite this

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title = "Inference for a general family of inverted exponentiated distributions under unified hybrid censoring with partially observed competing risks data",

author = "S Dutta and Tony Ng and S Kayal",

year = "2023",

language = "English",

volume = "422",

pages = "114934",

journal = "Journal of Computational and Applied Mathematics",

}

TY - JOUR

T1 - Inference for a general family of inverted exponentiated distributions under unified hybrid censoring with partially observed competing risks data

AU - Dutta, S

AU - Ng, Tony

AU - Kayal, S

PY - 2023

Y1 - 2023

M3 - Article

VL - 422

SP - 114934

JO - Journal of Computational and Applied Mathematics

JF - Journal of Computational and Applied Mathematics

ER -