{"id":"https://openalex.org/W4226186974","doi":"https://doi.org/10.1080/03610918.2022.2059088","title":"A new improved Liu estimator for the QSAR model with inverse Gaussian response","display_name":"A new improved Liu estimator for the QSAR model with inverse Gaussian response","publication_year":2022,"publication_date":"2022-04-07","ids":{"openalex":"https://openalex.org/W4226186974","doi":"https://doi.org/10.1080/03610918.2022.2059088"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2059088","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2059088","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076190619","display_name":"Muhammad Nauman Akram","orcid":"https://orcid.org/0000-0001-6688-808X"},"institutions":[{"id":"https://openalex.org/I160968435","display_name":"University of Sargodha","ror":"https://ror.org/0086rpr26","country_code":"PK","type":"education","lineage":["https://openalex.org/I160968435"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Muhammad Nauman Akram","raw_affiliation_strings":["Department of Statistics, University of Sargodha","Department of Statistics, University of Sargodha, Sargodha, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Sargodha","institution_ids":["https://openalex.org/I160968435"]},{"raw_affiliation_string":"Department of Statistics, University of Sargodha, Sargodha, Pakistan","institution_ids":["https://openalex.org/I160968435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761565","display_name":"Muhammad Amin","orcid":"https://orcid.org/0000-0002-7431-5756"},"institutions":[{"id":"https://openalex.org/I160968435","display_name":"University of Sargodha","ror":"https://ror.org/0086rpr26","country_code":"PK","type":"education","lineage":["https://openalex.org/I160968435"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Amin","raw_affiliation_strings":["Department of Statistics, University of Sargodha","Department of Statistics, University of Sargodha, Sargodha, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Sargodha","institution_ids":["https://openalex.org/I160968435"]},{"raw_affiliation_string":"Department of Statistics, University of Sargodha, Sargodha, Pakistan","institution_ids":["https://openalex.org/I160968435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078876584","display_name":"B. M. Golam Kibria","orcid":"https://orcid.org/0000-0002-6073-1978"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. M. Golam Kibria","raw_affiliation_strings":["Department of Mathematics and Statistics, Florida International University","Department of Mathematics and Statistics, Florida International University, Miami, Florida, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Florida International University","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, Florida International University, Miami, Florida, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066559252","display_name":"\u200eM\u200eohammad Arashi","orcid":"https://orcid.org/0000-0002-5881-9241"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Arashi","raw_affiliation_strings":["Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad","Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad","institution_ids":["https://openalex.org/I86958956"]},{"raw_affiliation_string":"Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034247554","display_name":"Adewale F. Lukman","orcid":"https://orcid.org/0000-0003-2881-1297"},"institutions":[{"id":"https://openalex.org/I304664074","display_name":"Landmark University","ror":"https://ror.org/04gw4zv66","country_code":"NG","type":"education","lineage":["https://openalex.org/I304664074"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Adewale F. Lukman","raw_affiliation_strings":["Department of Physical Sciences, Landmark University","Department of Physical Sciences, Landmark University, Omu-Aran, Nigeria"],"affiliations":[{"raw_affiliation_string":"Department of Physical Sciences, Landmark University","institution_ids":["https://openalex.org/I304664074"]},{"raw_affiliation_string":"Department of Physical Sciences, Landmark University, Omu-Aran, Nigeria","institution_ids":["https://openalex.org/I304664074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007137607","display_name":"Nimra Afzal","orcid":"https://orcid.org/0000-0003-1735-5484"},"institutions":[{"id":"https://openalex.org/I127670440","display_name":"Bahauddin Zakariya University","ror":"https://ror.org/05x817c41","country_code":"PK","type":"education","lineage":["https://openalex.org/I127670440"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Nimra Afzal","raw_affiliation_strings":["Department of Statistics, Bahauddin Zakariya University Multan","Department of Statistics, Bahauddin Zakariya University Multan, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Bahauddin Zakariya University Multan","institution_ids":["https://openalex.org/I127670440"]},{"raw_affiliation_string":"Department of Statistics, Bahauddin Zakariya University Multan, Pakistan","institution_ids":["https://openalex.org/I127670440"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076190619"],"corresponding_institution_ids":["https://openalex.org/I160968435"],"apc_list":null,"apc_paid":null,"fwci":1.7264,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85032014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"53","issue":"4","first_page":"1873","last_page":"1888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11423","display_name":"Pesticide Residue Analysis and Safety","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multicollinearity","display_name":"Multicollinearity","score":0.855791449546814},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7739708423614502},{"id":"https://openalex.org/keywords/quantitative-structure\u2013activity-relationship","display_name":"Quantitative structure\u2013activity relationship","score":0.6919752359390259},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5740408301353455},{"id":"https://openalex.org/keywords/chemometrics","display_name":"Chemometrics","score":0.522358775138855},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4904453456401825},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35862040519714355},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3387022912502289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3337782323360443},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.30459409952163696},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18465465307235718}],"concepts":[{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.855791449546814},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7739708423614502},{"id":"https://openalex.org/C164126121","wikidata":"https://www.wikidata.org/wiki/Q766383","display_name":"Quantitative structure\u2013activity relationship","level":2,"score":0.6919752359390259},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5740408301353455},{"id":"https://openalex.org/C151304367","wikidata":"https://www.wikidata.org/wiki/Q910067","display_name":"Chemometrics","level":2,"score":0.522358775138855},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4904453456401825},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35862040519714355},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3387022912502289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3337782323360443},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.30459409952163696},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18465465307235718}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2022.2059088","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2059088","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W43336416","https://openalex.org/W1947025626","https://openalex.org/W1988934215","https://openalex.org/W1993818816","https://openalex.org/W1999187230","https://openalex.org/W2014664653","https://openalex.org/W2020364685","https://openalex.org/W2021335009","https://openalex.org/W2070394662","https://openalex.org/W2073334899","https://openalex.org/W2092297269","https://openalex.org/W2145876056","https://openalex.org/W2156163858","https://openalex.org/W2159483927","https://openalex.org/W2314246804","https://openalex.org/W2396892949","https://openalex.org/W2462311440","https://openalex.org/W2552616258","https://openalex.org/W2560185902","https://openalex.org/W2738644531","https://openalex.org/W2800569345","https://openalex.org/W2810477198","https://openalex.org/W2884638693","https://openalex.org/W2903607238","https://openalex.org/W2908313144","https://openalex.org/W2945547702","https://openalex.org/W2999733607","https://openalex.org/W3002814030","https://openalex.org/W3022426365","https://openalex.org/W3045965766","https://openalex.org/W3047284866","https://openalex.org/W3056239249","https://openalex.org/W3090508592","https://openalex.org/W3103706901","https://openalex.org/W3134736113","https://openalex.org/W3158523644","https://openalex.org/W3160342802","https://openalex.org/W3172724468","https://openalex.org/W3198830389","https://openalex.org/W3200182133","https://openalex.org/W4205502812","https://openalex.org/W4213364127","https://openalex.org/W4234698323","https://openalex.org/W4237404502","https://openalex.org/W4249363408","https://openalex.org/W6601758160","https://openalex.org/W6750791785"],"related_works":["https://openalex.org/W2229495757","https://openalex.org/W4388522823","https://openalex.org/W2190954469","https://openalex.org/W2268505974","https://openalex.org/W2387884177","https://openalex.org/W1127100678","https://openalex.org/W2907586934","https://openalex.org/W3188410990","https://openalex.org/W4380592025","https://openalex.org/W2002358553"],"abstract_inverted_index":{"The":[0,119,170],"regression":[1,43],"model":[2,12,44],"is":[3,15,27,46,89,123,141,158],"one":[4],"of":[5,66,83,166],"the":[6,24,35,40,54,57,64,78,81,85,91,102,117,126,132,145,163,167,178,184,190],"important":[7],"quantitative":[8],"structure-activity":[9],"relationship":[10],"(QSAR)":[11],"tools":[13],"that":[14,90,99,177],"used":[16],"chiefly":[17],"in":[18,53,77,188],"chemometrics":[19],"studies.":[20],"In":[21],"chemometrics,":[22],"when":[23],"response":[25],"variable":[26],"continuous,":[28],"positively":[29],"skewed,":[30],"and":[31,60,73,131,172],"well":[32],"fitted":[33],"to":[34,143,161],"inverse":[36,41],"Gaussian":[37,42],"distribution,":[38],"then":[39],"(IGRM)":[45],"a":[47,96,111],"better":[48],"choice":[49],"QSAR":[50,155,173],"model.":[51],"Multicollinearity":[52],"IGRM":[55,58],"affects":[56,101],"estimation":[59],"inferences.":[61],"To":[62,105],"overcome":[63],"effect":[65],"multicollinearity,":[67],"biased":[68,134],"estimators":[69,187],"such":[70],"as":[71],"ridge":[72],"Liu":[74,87,114],"are":[75],"discussed":[76],"literature.":[79],"However,":[80],"disadvantage":[82],"using":[84],"traditional":[86],"estimator":[88,115,129,181],"shrinkage":[92],"parameter,":[93],"d,":[94],"returns":[95],"negative":[97],"value":[98],"severely":[100],"estimator's":[103,121,148],"performance.":[104],"mitigate":[106],"this":[107],"problem,":[108],"we":[109],"propose":[110],"new":[112,120],"improved":[113],"for":[116],"IGRM.":[118],"performance":[122,149],"compared":[124],"with":[125],"maximum":[127],"likelihood":[128],"(MLE)":[130],"other":[133,185],"estimators.":[135],"A":[136,154],"Monte":[137],"Carlo":[138],"simulation":[139,171],"study":[140],"conducted":[142],"assess":[144],"newly":[146,179],"proposed":[147,168,180],"under":[150],"different":[151],"parametric":[152],"conditions.":[153,192],"chemometric":[156],"application":[157,174],"also":[159],"considered":[160],"see":[162],"clear":[164],"picture":[165],"estimator.":[169],"findings":[175],"demonstrate":[176],"consistently":[182],"dominates":[183],"competitive":[186],"all":[189],"evaluated":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
