{"id":"https://openalex.org/W2621190932","doi":"https://doi.org/10.3233/mas-170387","title":"Estimation of scale parameter of a Bivariate Lomax distribution by Ranked Set Sampling","display_name":"Estimation of scale parameter of a Bivariate Lomax distribution by Ranked Set Sampling","publication_year":2017,"publication_date":"2017-06-02","ids":{"openalex":"https://openalex.org/W2621190932","doi":"https://doi.org/10.3233/mas-170387","mag":"2621190932"},"language":"en","primary_location":{"id":"doi:10.3233/mas-170387","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-170387","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","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/A5058439104","display_name":"Rohan D. Koshti","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rohan Dilip Koshti","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059945202","display_name":"Kirtee K. Kamalja","orcid":"https://orcid.org/0000-0001-8200-7596"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kirtee Kiran Kamalja","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058439104"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2332,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.56658566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":"2","first_page":"107","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9998999834060669,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9998999834060669,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7403030395507812},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7182754874229431},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6964796781539917},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.6320770382881165},{"id":"https://openalex.org/keywords/lomax-distribution","display_name":"Lomax distribution","score":0.6195528507232666},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6180229187011719},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5222662091255188},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5190306901931763},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.47426116466522217},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45859968662261963},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45287665724754333},{"id":"https://openalex.org/keywords/bias-of-an-estimator","display_name":"Bias of an estimator","score":0.4364970326423645},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4168281853199005},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.1959535777568817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1823939085006714},{"id":"https://openalex.org/keywords/pareto-distribution","display_name":"Pareto distribution","score":0.15444645285606384},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0804380476474762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.05470559000968933}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7403030395507812},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7182754874229431},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6964796781539917},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6320770382881165},{"id":"https://openalex.org/C18249693","wikidata":"https://www.wikidata.org/wiki/Q2517984","display_name":"Lomax distribution","level":3,"score":0.6195528507232666},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6180229187011719},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5222662091255188},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5190306901931763},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.47426116466522217},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45859968662261963},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45287665724754333},{"id":"https://openalex.org/C191393472","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Bias of an estimator","level":4,"score":0.4364970326423645},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4168281853199005},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.1959535777568817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1823939085006714},{"id":"https://openalex.org/C190373308","wikidata":"https://www.wikidata.org/wiki/Q837683","display_name":"Pareto distribution","level":2,"score":0.15444645285606384},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0804380476474762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.05470559000968933},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/mas-170387","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-170387","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W163445025","https://openalex.org/W993027683","https://openalex.org/W1836409215","https://openalex.org/W1984974814","https://openalex.org/W1986049907","https://openalex.org/W2022583999","https://openalex.org/W2038941270","https://openalex.org/W2044597672","https://openalex.org/W2048897777","https://openalex.org/W2056004917","https://openalex.org/W2061139811","https://openalex.org/W2504767107","https://openalex.org/W2504845701","https://openalex.org/W2515030428","https://openalex.org/W2515497032","https://openalex.org/W2557331128","https://openalex.org/W2796641244","https://openalex.org/W6730346100","https://openalex.org/W7024857118"],"related_works":["https://openalex.org/W1721599012","https://openalex.org/W3111982736","https://openalex.org/W2901858382","https://openalex.org/W4384273653","https://openalex.org/W2141363082","https://openalex.org/W4372063917","https://openalex.org/W2107417167","https://openalex.org/W4232399475","https://openalex.org/W2952760262","https://openalex.org/W3160516639"],"abstract_inverted_index":{"Concept":[0],"of":[1,12],"Ranked":[2],"Set":[3],"Sampling":[4],"is":[5],"applicable":[6],"whenever":[7],"ranking":[8],"on":[9,25],"a":[10,20,34],"set":[11],"sampling":[13],"units":[14],"can":[15],"be":[16],"done":[17],"easily":[18],"by":[19],"judgment":[21],"method":[22],"or":[23],"based":[24],"an":[26],"auxiliary":[27,40],"variable.":[28],"In":[29],"this":[30],"work,":[31],"we":[32],"consider":[33],"study":[35],"variable":[36,41],"Y":[37],"correlated":[38],"with":[39],"X":[42],"whic":[43]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
