{"id":"https://openalex.org/W4396837080","doi":"https://doi.org/10.1145/3653912.3653919","title":"Interval Estimation Methods for the Variance of a Lognormal Model with Zero Inflation and Their Applications","display_name":"Interval Estimation Methods for the Variance of a Lognormal Model with Zero Inflation and Their Applications","publication_year":2024,"publication_date":"2024-02-21","ids":{"openalex":"https://openalex.org/W4396837080","doi":"https://doi.org/10.1145/3653912.3653919"},"language":"en","primary_location":{"id":"doi:10.1145/3653912.3653919","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3653912.3653919","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3653912.3653919","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 The 13th International Conference on Informatics Environment Energy and Applications (IEEA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3653912.3653919","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065047508","display_name":"Patcharee Maneerat","orcid":"https://orcid.org/0000-0003-2145-9657"},"institutions":[{"id":"https://openalex.org/I176205391","display_name":"Uttaradit Rajabhat University","ror":"https://ror.org/01rs03g07","country_code":"TH","type":"education","lineage":["https://openalex.org/I176205391"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Patcharee Maneerat","raw_affiliation_strings":["Department of Data Science, Uttaradit Rajabhat University, Thailand"],"raw_orcid":"https://orcid.org/0000-0003-2145-9657","affiliations":[{"raw_affiliation_string":"Department of Data Science, Uttaradit Rajabhat University, Thailand","institution_ids":["https://openalex.org/I176205391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088789995","display_name":"Pisit Nakjai","orcid":"https://orcid.org/0000-0001-8471-4390"},"institutions":[{"id":"https://openalex.org/I176205391","display_name":"Uttaradit Rajabhat University","ror":"https://ror.org/01rs03g07","country_code":"TH","type":"education","lineage":["https://openalex.org/I176205391"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pisit Nakjai","raw_affiliation_strings":["Department of Data Science, Uttaradit Rajabhat University, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-8471-4390","affiliations":[{"raw_affiliation_string":"Department of Data Science, Uttaradit Rajabhat University, Thailand","institution_ids":["https://openalex.org/I176205391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044179499","display_name":"Noppadon Yosboonruang","orcid":"https://orcid.org/0000-0003-4815-8141"},"institutions":[{"id":"https://openalex.org/I4210090662","display_name":"University of Phayao","ror":"https://ror.org/00a5mh069","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210090662"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Noppadon Yosboonruang","raw_affiliation_strings":["Department of Statistics, School of Science, University of Phayao, Thailand"],"raw_orcid":"https://orcid.org/0000-0003-4815-8141","affiliations":[{"raw_affiliation_string":"Department of Statistics, School of Science, University of Phayao, Thailand","institution_ids":["https://openalex.org/I4210090662"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030283463","display_name":"Sa\u2010Aat Niwitpong","orcid":"https://orcid.org/0000-0001-8269-3397"},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sa-Aat Niwitpong","raw_affiliation_strings":["Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0000-0001-8269-3397","affiliations":[{"raw_affiliation_string":"Department of Applied Statistics, King Mongkut's University of Technology North Bangkok, Thailand","institution_ids":["https://openalex.org/I82828225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065047508"],"corresponding_institution_ids":["https://openalex.org/I176205391"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06848617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10969","display_name":"Water resources management and optimization","score":0.9703999757766724,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11886","display_name":"Agricultural risk and resilience","score":0.946399986743927,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil 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/log-normal-distribution","display_name":"Log-normal distribution","score":0.7922132015228271},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6929712295532227},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6227759122848511},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.566860020160675},{"id":"https://openalex.org/keywords/variance-inflation-factor","display_name":"Variance inflation factor","score":0.5645495653152466},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.562117338180542},{"id":"https://openalex.org/keywords/dispersion","display_name":"Dispersion (optics)","score":0.5599198937416077},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5372118353843689},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5070452690124512},{"id":"https://openalex.org/keywords/inflation","display_name":"Inflation (cosmology)","score":0.5029782652854919},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.48782971501350403},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3708235025405884},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35668712854385376},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.1282186508178711},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10286161303520203}],"concepts":[{"id":"https://openalex.org/C151620405","wikidata":"https://www.wikidata.org/wiki/Q826116","display_name":"Log-normal distribution","level":2,"score":0.7922132015228271},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6929712295532227},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6227759122848511},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.566860020160675},{"id":"https://openalex.org/C152732102","wikidata":"https://www.wikidata.org/wiki/Q13434396","display_name":"Variance inflation factor","level":4,"score":0.5645495653152466},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.562117338180542},{"id":"https://openalex.org/C177562468","wikidata":"https://www.wikidata.org/wiki/Q182893","display_name":"Dispersion (optics)","level":2,"score":0.5599198937416077},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5372118353843689},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5070452690124512},{"id":"https://openalex.org/C200941418","wikidata":"https://www.wikidata.org/wiki/Q273508","display_name":"Inflation (cosmology)","level":2,"score":0.5029782652854919},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.48782971501350403},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3708235025405884},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35668712854385376},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.1282186508178711},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10286161303520203},{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33332235","wikidata":"https://www.wikidata.org/wiki/Q18362","display_name":"Theoretical physics","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653912.3653919","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3653912.3653919","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3653912.3653919","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 The 13th International Conference on Informatics Environment Energy and Applications (IEEA)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3653912.3653919","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3653912.3653919","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3653912.3653919","source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 The 13th International Conference on Informatics Environment Energy and Applications (IEEA)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Life below water","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396837080.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W620038288","https://openalex.org/W1949252975","https://openalex.org/W1978087298","https://openalex.org/W1989740545","https://openalex.org/W2020018978","https://openalex.org/W2023507594","https://openalex.org/W2031504989","https://openalex.org/W2046914177","https://openalex.org/W2081726298","https://openalex.org/W2111799303","https://openalex.org/W2121518850","https://openalex.org/W2137252556","https://openalex.org/W2155916505","https://openalex.org/W2316750755","https://openalex.org/W2332843626","https://openalex.org/W2799376540","https://openalex.org/W3036327336","https://openalex.org/W3128415192","https://openalex.org/W4245297997","https://openalex.org/W4253727393","https://openalex.org/W4256119384"],"related_works":["https://openalex.org/W2586047144","https://openalex.org/W3021591465","https://openalex.org/W1639044165","https://openalex.org/W3016675171","https://openalex.org/W4287781063","https://openalex.org/W2493033802","https://openalex.org/W2242826594","https://openalex.org/W2082038193","https://openalex.org/W4382284687","https://openalex.org/W2011669161"],"abstract_inverted_index":{"Data":[0],"on":[1],"natural":[2],"rainfall":[3,100,118],"and":[4,12,48,61,101,104,119],"fish":[5,102,120],"density":[6,103],"often":[7],"exhibit":[8],"positively":[9],"right-skewed":[10],"distributions":[11],"include":[13],"zero":[14,24,36,94],"observations,":[15],"thus":[16],"making":[17],"them":[18],"fit":[19],"a":[20,32],"lognormal":[21,33],"model":[22,34],"with":[23,35],"inflation.":[25],"Estimation":[26],"methods":[27,67,115],"for":[28,83,116],"the":[29,39,44,49,65,78,81,91,110,113],"variance":[30,52],"of":[31,51,64,93,112],"inflation":[37],"using":[38],"modified":[40],"Fletcher":[41],"(MFL)":[42],"interval,":[43,47],"generalized":[45],"confidence":[46],"method":[50],"estimate":[53],"recovery":[54],"are":[55,106],"derived":[56],"herein.":[57],"The":[58],"coverage":[59],"rates":[60],"average":[62],"widths":[63],"proposed":[66,114],"were":[68],"assessed":[69],"via":[70],"Monte":[71],"Carlo":[72],"simulation.":[73],"Numerical":[74],"results":[75],"reveal":[76],"that":[77],"MFL":[79],"satisfied":[80],"requirements":[82],"handling":[84],"large":[85],"variances,":[86],"even":[87],"in":[88],"situations":[89],"where":[90],"proportion":[92],"data":[95,105],"items":[96],"was":[97],"high.":[98],"Natural":[99],"used":[107],"to":[108],"illustrate":[109],"efficacies":[111],"estimating":[117],"dispersion,":[121],"respectively.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
