Conditional Gaussian mixture model for warranty claims forecasting

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

Original language	English
Journal	Reliability Engineering and System Safety
Early online date	Nov 8 2021
DOIs	https://doi.org/10.1016/j.ress.2021.108180
State	Published - 2022
Externally published	Yes

Access to Document

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title = "Conditional Gaussian mixture model for warranty claims forecasting",

author = "A. Chehade and M. Savargaonkar and V. Krivtsov",

year = "2022",

doi = "10.1016/j.ress.2021.108180",

language = "English",

journal = "Reliability Engineering and System Safety",

issn = "0951-8320",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Conditional Gaussian mixture model for warranty claims forecasting

AU - Chehade, A.

AU - Savargaonkar, M.

AU - Krivtsov, V.

PY - 2022

Y1 - 2022

UR - https://www.scopus.com/pages/publications/85119371389

U2 - 10.1016/j.ress.2021.108180

DO - 10.1016/j.ress.2021.108180

M3 - Article

SN - 0951-8320

JO - Reliability Engineering and System Safety

JF - Reliability Engineering and System Safety

ER -