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The weighted Lindley-G family of probabilistic models: properties, inference, and applications to re...

The weighted Lindley-G family of probabilistic models: properties, inference, and applications to re...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2809667037

The weighted Lindley-G family of probabilistic models: properties, inference, and applications to real-life data

About this item

Full title

The weighted Lindley-G family of probabilistic models: properties, inference, and applications to real-life data

Publisher

Amsterdam: IOS Press BV

Journal title

Journal of intelligent & fuzzy systems, 2023-05, Vol.44 (5), p.8071-8089

Language

English

Formats

Publication information

Publisher

Amsterdam: IOS Press BV

More information

Scope and Contents

Contents

We propose a new wider family called the weighted Lindley-G family. We derive some mathematical properties and special sub-models of the new family. We address the estimation of the model parameters by eight approaches of estimation. The estimation approaches are ranked and compared by using detailed simulations to develop a guideline for choosing...

Alternative Titles

Full title

The weighted Lindley-G family of probabilistic models: properties, inference, and applications to real-life data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2809667037

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2809667037

Other Identifiers

ISSN

1064-1246

E-ISSN

1875-8967

DOI

10.3233/JIFS-222758

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