On the applications of novel weighted exponentiated lomax model to fitting lifetime datasets Article Swipe
Abdulaziz S. Alghamdi
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.aej.2024.07.051
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.aej.2024.07.051
The Lomax distribution is widely recognized in distributional theory and thoroughly applied in many study fields, particularly in engineering and lifetime studies. Considering the importance of fitting the lifetime datasets, this article deals a weighted exponentiated Lomax model using a novel modification on Lomax distribution. The proposed modification is powerful tool in modeling numerous types of data sets notably skewed, complex, asymmetric and symmetric. Various distributional characterizations are provided. Additionally, the estimation of the model parameter is obtained via two numerous estimation techniques. Monte Carlo simulation based research is conducted to demonstrate the potential of proposed estimator’s using some measures, including the average estimate, average bias, and associated mean square error. Two real datasets drawn from lifetime area are illustrated to show the applicability of the suggested distribution. The results underscore the superior performance of the proposed model compared to its competitors, showcasing its effectiveness in accurately representing the analyzed datasets.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.aej.2024.07.051
- OA Status
- gold
- Cited By
- 1
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400984986
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4400984986Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.aej.2024.07.051Digital Object Identifier
- Title
-
On the applications of novel weighted exponentiated lomax model to fitting lifetime datasetsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-25Full publication date if available
- Authors
-
Abdulaziz S. AlghamdiList of authors in order
- Landing page
-
https://doi.org/10.1016/j.aej.2024.07.051Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.aej.2024.07.051Direct OA link when available
- Concepts
-
Lomax distribution, Mathematics, Applied mathematics, Statistics, Econometrics, Maximum likelihoodTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
44Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4400984986 |
|---|---|
| doi | https://doi.org/10.1016/j.aej.2024.07.051 |
| ids.doi | https://doi.org/10.1016/j.aej.2024.07.051 |
| ids.openalex | https://openalex.org/W4400984986 |
| fwci | 1.53290046 |
| type | article |
| title | On the applications of novel weighted exponentiated lomax model to fitting lifetime datasets |
| awards[0].id | https://openalex.org/G7238506723 |
| awards[0].funder_id | https://openalex.org/F4320322322 |
| awards[0].funder_award_id | GPIP-64-622-2024 |
| awards[0].funder_display_name | King Abdulaziz University |
| biblio.issue | |
| biblio.volume | 107 |
| biblio.last_page | 467 |
| biblio.first_page | 455 |
| grants[0].funder | https://openalex.org/F4320322322 |
| grants[0].award_id | GPIP-64-622-2024 |
| grants[0].funder_display_name | King Abdulaziz University |
| grants[1].funder | https://openalex.org/F4320335726 |
| grants[1].award_id | |
| grants[1].funder_display_name | Deanship of Scientific Research, King Saud University |
| topics[0].id | https://openalex.org/T10968 |
| topics[0].field.id | https://openalex.org/fields/26 |
| topics[0].field.display_name | Mathematics |
| topics[0].score | 0.9994000196456909 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2613 |
| topics[0].subfield.display_name | Statistics and Probability |
| topics[0].display_name | Statistical Distribution Estimation and Applications |
| topics[1].id | https://openalex.org/T10136 |
| topics[1].field.id | https://openalex.org/fields/26 |
| topics[1].field.display_name | Mathematics |
| topics[1].score | 0.9693999886512756 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2613 |
| topics[1].subfield.display_name | Statistics and Probability |
| topics[1].display_name | Statistical Methods and Inference |
| topics[2].id | https://openalex.org/T10780 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9528999924659729 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2213 |
| topics[2].subfield.display_name | Safety, Risk, Reliability and Quality |
| topics[2].display_name | Reliability and Maintenance Optimization |
| funders[0].id | https://openalex.org/F4320322322 |
| funders[0].ror | https://ror.org/02ma4wv74 |
| funders[0].display_name | King Abdulaziz University |
| funders[1].id | https://openalex.org/F4320335726 |
| funders[1].ror | |
| funders[1].display_name | Deanship of Scientific Research, King Saud University |
| is_xpac | False |
| apc_list.value | 860 |
| apc_list.currency | USD |
| apc_list.value_usd | 860 |
| apc_paid.value | 860 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 860 |
| concepts[0].id | https://openalex.org/C18249693 |
| concepts[0].level | 3 |
| concepts[0].score | 0.6526497006416321 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q2517984 |
| concepts[0].display_name | Lomax distribution |
| concepts[1].id | https://openalex.org/C33923547 |
| concepts[1].level | 0 |
| concepts[1].score | 0.5629945993423462 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[1].display_name | Mathematics |
| concepts[2].id | https://openalex.org/C28826006 |
| concepts[2].level | 1 |
| concepts[2].score | 0.46994760632514954 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q33521 |
| concepts[2].display_name | Applied mathematics |
| concepts[3].id | https://openalex.org/C105795698 |
| concepts[3].level | 1 |
| concepts[3].score | 0.4540475606918335 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[3].display_name | Statistics |
| concepts[4].id | https://openalex.org/C149782125 |
| concepts[4].level | 1 |
| concepts[4].score | 0.35892054438591003 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q160039 |
| concepts[4].display_name | Econometrics |
| concepts[5].id | https://openalex.org/C49781872 |
| concepts[5].level | 2 |
| concepts[5].score | 0.2579229474067688 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1045555 |
| concepts[5].display_name | Maximum likelihood |
| keywords[0].id | https://openalex.org/keywords/lomax-distribution |
| keywords[0].score | 0.6526497006416321 |
| keywords[0].display_name | Lomax distribution |
| keywords[1].id | https://openalex.org/keywords/mathematics |
| keywords[1].score | 0.5629945993423462 |
| keywords[1].display_name | Mathematics |
| keywords[2].id | https://openalex.org/keywords/applied-mathematics |
| keywords[2].score | 0.46994760632514954 |
| keywords[2].display_name | Applied mathematics |
| keywords[3].id | https://openalex.org/keywords/statistics |
| keywords[3].score | 0.4540475606918335 |
| keywords[3].display_name | Statistics |
| keywords[4].id | https://openalex.org/keywords/econometrics |
| keywords[4].score | 0.35892054438591003 |
| keywords[4].display_name | Econometrics |
| keywords[5].id | https://openalex.org/keywords/maximum-likelihood |
| keywords[5].score | 0.2579229474067688 |
| keywords[5].display_name | Maximum likelihood |
| language | en |
| locations[0].id | doi:10.1016/j.aej.2024.07.051 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2764413287 |
| locations[0].source.issn | 1110-0168, 2090-2670 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1110-0168 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Alexandria Engineering Journal |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Alexandria Engineering Journal |
| locations[0].landing_page_url | https://doi.org/10.1016/j.aej.2024.07.051 |
| locations[1].id | pmh:oai:doaj.org/article:5553e03f559e43659e49e2540157d0ae |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].source.host_organization_lineage | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Alexandria Engineering Journal, Vol 107, Iss , Pp 455-467 (2024) |
| locations[1].landing_page_url | https://doaj.org/article/5553e03f559e43659e49e2540157d0ae |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5049537539 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9008-9197 |
| authorships[0].author.display_name | Abdulaziz S. Alghamdi |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Abdulaziz S. Alghamdi |
| authorships[0].is_corresponding | True |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1016/j.aej.2024.07.051 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | On the applications of novel weighted exponentiated lomax model to fitting lifetime datasets |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10968 |
| primary_topic.field.id | https://openalex.org/fields/26 |
| primary_topic.field.display_name | Mathematics |
| primary_topic.score | 0.9994000196456909 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2613 |
| primary_topic.subfield.display_name | Statistics and Probability |
| primary_topic.display_name | Statistical Distribution Estimation and Applications |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W1979597421, https://openalex.org/W2007980826, https://openalex.org/W3111982736, https://openalex.org/W2061531152, https://openalex.org/W3002753104, https://openalex.org/W2077600819, https://openalex.org/W2142036596, https://openalex.org/W2072657027, https://openalex.org/W2600246793 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1016/j.aej.2024.07.051 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764413287 |
| best_oa_location.source.issn | 1110-0168, 2090-2670 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1110-0168 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Alexandria Engineering Journal |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Alexandria Engineering Journal |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.aej.2024.07.051 |
| primary_location.id | doi:10.1016/j.aej.2024.07.051 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2764413287 |
| primary_location.source.issn | 1110-0168, 2090-2670 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1110-0168 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Alexandria Engineering Journal |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Alexandria Engineering Journal |
| primary_location.landing_page_url | https://doi.org/10.1016/j.aej.2024.07.051 |
| publication_date | 2024-07-25 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W6796647798, https://openalex.org/W3172330532, https://openalex.org/W6794892320, https://openalex.org/W6853905289, https://openalex.org/W4313460626, https://openalex.org/W2143902124, https://openalex.org/W3046996750, https://openalex.org/W3035507401, https://openalex.org/W4376126474, https://openalex.org/W4308121906, https://openalex.org/W4386886934, https://openalex.org/W4387087250, https://openalex.org/W6655164746, https://openalex.org/W4206416787, https://openalex.org/W2473549009, https://openalex.org/W4387332018, https://openalex.org/W2902440166, https://openalex.org/W4302024165, https://openalex.org/W4200400803, https://openalex.org/W3119056895, https://openalex.org/W3119534821, https://openalex.org/W3207774235, https://openalex.org/W4289637502, https://openalex.org/W6889007503, https://openalex.org/W4392912503, https://openalex.org/W2038941270, https://openalex.org/W4391786011, https://openalex.org/W4383376897, https://openalex.org/W4386445876, https://openalex.org/W4382402107, https://openalex.org/W4397006321, https://openalex.org/W4399729416, https://openalex.org/W4399206176, https://openalex.org/W2170210105, https://openalex.org/W1992770033, https://openalex.org/W1995875735, https://openalex.org/W4388866200, https://openalex.org/W2024879616, https://openalex.org/W4386832672, https://openalex.org/W2018745932, https://openalex.org/W4384520635, https://openalex.org/W3160174700, https://openalex.org/W3101426737, https://openalex.org/W3168023682 |
| referenced_works_count | 44 |
| abstract_inverted_index.a | 33, 39 |
| abstract_inverted_index.in | 6, 12, 17, 51, 145 |
| abstract_inverted_index.is | 3, 48, 76, 88 |
| abstract_inverted_index.of | 25, 55, 72, 94, 124, 134 |
| abstract_inverted_index.on | 42 |
| abstract_inverted_index.to | 90, 120, 139 |
| abstract_inverted_index.The | 0, 45, 128 |
| abstract_inverted_index.Two | 111 |
| abstract_inverted_index.and | 9, 19, 62, 106 |
| abstract_inverted_index.are | 67, 118 |
| abstract_inverted_index.its | 140, 143 |
| abstract_inverted_index.the | 23, 27, 70, 73, 92, 101, 122, 125, 131, 135, 148 |
| abstract_inverted_index.two | 79 |
| abstract_inverted_index.via | 78 |
| abstract_inverted_index.area | 117 |
| abstract_inverted_index.data | 56 |
| abstract_inverted_index.from | 115 |
| abstract_inverted_index.many | 13 |
| abstract_inverted_index.mean | 108 |
| abstract_inverted_index.real | 112 |
| abstract_inverted_index.sets | 57 |
| abstract_inverted_index.show | 121 |
| abstract_inverted_index.some | 98 |
| abstract_inverted_index.this | 30 |
| abstract_inverted_index.tool | 50 |
| abstract_inverted_index.Carlo | 84 |
| abstract_inverted_index.Lomax | 1, 36, 43 |
| abstract_inverted_index.Monte | 83 |
| abstract_inverted_index.based | 86 |
| abstract_inverted_index.bias, | 105 |
| abstract_inverted_index.deals | 32 |
| abstract_inverted_index.drawn | 114 |
| abstract_inverted_index.model | 37, 74, 137 |
| abstract_inverted_index.novel | 40 |
| abstract_inverted_index.study | 14 |
| abstract_inverted_index.types | 54 |
| abstract_inverted_index.using | 38, 97 |
| abstract_inverted_index.error. | 110 |
| abstract_inverted_index.square | 109 |
| abstract_inverted_index.theory | 8 |
| abstract_inverted_index.widely | 4 |
| abstract_inverted_index.Various | 64 |
| abstract_inverted_index.applied | 11 |
| abstract_inverted_index.article | 31 |
| abstract_inverted_index.average | 102, 104 |
| abstract_inverted_index.fields, | 15 |
| abstract_inverted_index.fitting | 26 |
| abstract_inverted_index.notably | 58 |
| abstract_inverted_index.results | 129 |
| abstract_inverted_index.skewed, | 59 |
| abstract_inverted_index.analyzed | 149 |
| abstract_inverted_index.compared | 138 |
| abstract_inverted_index.complex, | 60 |
| abstract_inverted_index.datasets | 113 |
| abstract_inverted_index.lifetime | 20, 28, 116 |
| abstract_inverted_index.modeling | 52 |
| abstract_inverted_index.numerous | 53, 80 |
| abstract_inverted_index.obtained | 77 |
| abstract_inverted_index.powerful | 49 |
| abstract_inverted_index.proposed | 46, 95, 136 |
| abstract_inverted_index.research | 87 |
| abstract_inverted_index.studies. | 21 |
| abstract_inverted_index.superior | 132 |
| abstract_inverted_index.weighted | 34 |
| abstract_inverted_index.conducted | 89 |
| abstract_inverted_index.datasets, | 29 |
| abstract_inverted_index.datasets. | 150 |
| abstract_inverted_index.estimate, | 103 |
| abstract_inverted_index.including | 100 |
| abstract_inverted_index.measures, | 99 |
| abstract_inverted_index.parameter | 75 |
| abstract_inverted_index.potential | 93 |
| abstract_inverted_index.provided. | 68 |
| abstract_inverted_index.suggested | 126 |
| abstract_inverted_index.accurately | 146 |
| abstract_inverted_index.associated | 107 |
| abstract_inverted_index.asymmetric | 61 |
| abstract_inverted_index.estimation | 71, 81 |
| abstract_inverted_index.importance | 24 |
| abstract_inverted_index.recognized | 5 |
| abstract_inverted_index.showcasing | 142 |
| abstract_inverted_index.simulation | 85 |
| abstract_inverted_index.symmetric. | 63 |
| abstract_inverted_index.thoroughly | 10 |
| abstract_inverted_index.underscore | 130 |
| abstract_inverted_index.Considering | 22 |
| abstract_inverted_index.demonstrate | 91 |
| abstract_inverted_index.engineering | 18 |
| abstract_inverted_index.illustrated | 119 |
| abstract_inverted_index.performance | 133 |
| abstract_inverted_index.techniques. | 82 |
| abstract_inverted_index.competitors, | 141 |
| abstract_inverted_index.distribution | 2 |
| abstract_inverted_index.modification | 41, 47 |
| abstract_inverted_index.particularly | 16 |
| abstract_inverted_index.representing | 147 |
| abstract_inverted_index.Additionally, | 69 |
| abstract_inverted_index.applicability | 123 |
| abstract_inverted_index.distribution. | 44, 127 |
| abstract_inverted_index.effectiveness | 144 |
| abstract_inverted_index.estimator’s | 96 |
| abstract_inverted_index.exponentiated | 35 |
| abstract_inverted_index.distributional | 7, 65 |
| abstract_inverted_index.characterizations | 66 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5049537539 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile.value | 0.75267687 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |