Alі İ. Genç scite author profile

In this work we have considered the problem of finding the moments of a doubly truncated member of the class of normal/independent distributions. We obtained a general result and then use it to derive the moments in the case of doubly truncated versions of Pearson type VII distribution, slash distribution, contaminated normal distribution, double exponential distribution and variance gamma distribution. We also give an application of some actuarial data.

show abstract

A generalization of the multivariate slash distribution

Arslan

Genç

2009

Journal of Statistical Planning and Inference

View full text Add to dashboard Cite

12 3 4 5 6

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Alі İ. Genç

Estimation ofP(X>Y) with Topp–Leone distribution

Stress–strength reliability estimation under the standard two-sided power distribution

The skew generalizedtdistribution as the scale mixture of a skew exponential power distribution and its applications in robust estimation

Moments of order statistics of Topp–Leone distribution

A new generalized two-sided class of distributions with an emphasis on two-sided generalized normal distribution

Robust Location and Scale Estimation Based on the Univariate Generalizedt(GT) Distribution

Moments of truncated normal/independent distributions

A generalization of the multivariate slash distribution

Contact Info

Product

Resources

About