Nonparametric methods of statistical inference for double-censored data with applications

• Autorzy: Al Luhayb Asamh Saleh M.

Identyfikatory

DOI

10.1515/dema-2023-0126

• Języki publikacji: EN

Abstrakty

EN

This article introduces new nonparametric statistical methods for prediction in case of data containing right-censored observations and left-censored observations simultaneously. The methods can be considered as new versions of Hill’s A(n) assumption for double-censored data. Two bounds are derived to predict the survival function for one future observation Xn+1 based based on each version, and these bounds are compared through two examples. Two interesting features are provided based on the proposed methods. The first one is the detailed graphical presentation of the effects of right and left censoring. The second feature is that the lower and upper survival functions can be derived.

Słowa kluczowe

EN

double-censored data; Hill’s A(n) assumption; nonparametric predictive inference; prediction; right-censoring- A(n) assumption; statistical model

• Wydawca: De Gruyter
• Czasopismo: Demonstratio Mathematica
• Rocznik: 2024
• Tom: Vol. 57, nr 1
• Strony: art. no. 20230126
• Opis fizyczny: Bibliogr. 37 poz., rys., tab.

Twórcy

autor

Al Luhayb Asamh Saleh M.

• Department of Mathematics, College of Science, Qassim University, P.O. Box 6644, Buraydah 51452, Saudi Arabia

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).