{"id":"https://openalex.org/W3092568665","doi":"https://doi.org/10.1080/03610918.2020.1828920","title":"Some imputation methods to deal with the issue of missing data problems due to random non-response in two-occasion successive sampling","display_name":"Some imputation methods to deal with the issue of missing data problems due to random non-response in two-occasion successive sampling","publication_year":2020,"publication_date":"2020-10-10","ids":{"openalex":"https://openalex.org/W3092568665","doi":"https://doi.org/10.1080/03610918.2020.1828920","mag":"3092568665"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2020.1828920","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1828920","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/A5101592629","display_name":"Mohd Khalid","orcid":"https://orcid.org/0000-0001-8042-1849"},"institutions":[{"id":"https://openalex.org/I189109744","display_name":"Indian Institute of Technology Dhanbad","ror":"https://ror.org/013v3cc28","country_code":"IN","type":"education","lineage":["https://openalex.org/I189109744"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mohd Khalid","raw_affiliation_strings":["Department of Mathematics & Computing, Indian Institute of Technology (ISM), Dhanbad, India","Department of Statistics & Operations Research (Women\u2019s College, Statistics Section), AMU, Aligarh, India","Department of Statistics & Operations Research (Women's College, Statistics Section), AMU, Aligarh, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics & Computing, Indian Institute of Technology (ISM), Dhanbad, India","institution_ids":["https://openalex.org/I189109744"]},{"raw_affiliation_string":"Department of Statistics & Operations Research (Women\u2019s College, Statistics Section), AMU, Aligarh, India","institution_ids":[]},{"raw_affiliation_string":"Department of Statistics & Operations Research (Women's College, Statistics Section), AMU, Aligarh, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043056171","display_name":"G. N. Singh","orcid":"https://orcid.org/0000-0002-7316-6023"},"institutions":[{"id":"https://openalex.org/I189109744","display_name":"Indian Institute of Technology Dhanbad","ror":"https://ror.org/013v3cc28","country_code":"IN","type":"education","lineage":["https://openalex.org/I189109744"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Garib Nath Singh","raw_affiliation_strings":["Department of Mathematics & Computing, Indian Institute of Technology (ISM), Dhanbad, India"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics & Computing, Indian Institute of Technology (ISM), Dhanbad, India","institution_ids":["https://openalex.org/I189109744"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101592629"],"corresponding_institution_ids":["https://openalex.org/I189109744"],"apc_list":null,"apc_paid":null,"fwci":1.9437,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88080851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"51","issue":"12","first_page":"7266","last_page":"7286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":1.0,"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/T13030","display_name":"Survey Sampling and Estimation Techniques","score":1.0,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9818000197410583,"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/T11539","display_name":"Survey Methodology and Nonresponse","score":0.9542999863624573,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.9104679822921753},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.8655046820640564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5723775625228882},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5558875799179077},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5540065169334412},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4862715005874634},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.47642382979393005},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43053871393203735},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.41245898604393005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.270748496055603},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25755202770233154},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10853704810142517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07508343458175659}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.9104679822921753},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8655046820640564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5723775625228882},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5558875799179077},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5540065169334412},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4862715005874634},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.47642382979393005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43053871393203735},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.41245898604393005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.270748496055603},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25755202770233154},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10853704810142517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07508343458175659},{"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/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2020.1828920","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1828920","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":23,"referenced_works":["https://openalex.org/W1497865302","https://openalex.org/W1981426294","https://openalex.org/W1989149779","https://openalex.org/W1992958805","https://openalex.org/W2021994472","https://openalex.org/W2026098814","https://openalex.org/W2047402721","https://openalex.org/W2048243239","https://openalex.org/W2066297029","https://openalex.org/W2073678612","https://openalex.org/W2085937572","https://openalex.org/W2090419207","https://openalex.org/W2093660261","https://openalex.org/W2100358124","https://openalex.org/W2111993157","https://openalex.org/W2167394060","https://openalex.org/W2237872475","https://openalex.org/W2514907054","https://openalex.org/W2792607102","https://openalex.org/W2914708549","https://openalex.org/W2955814071","https://openalex.org/W3144218091","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549","https://openalex.org/W3123177881"],"abstract_inverted_index":{"Missingness":[0],"or":[1],"incompleteness":[2],"of":[3,17,32,64,75],"data":[4],"is":[5,26,29],"a":[6],"challenge":[7],"to":[8,36,48,97],"the":[9,14,18,23,30,51,65,76,98],"survey":[10,99],"statisticians":[11],"in":[12,59,69],"producing":[13],"reliable":[15],"estimates":[16],"desired":[19],"population":[20,67],"parameters.":[21],"If":[22],"missingness":[24],"pattern":[25],"unidentifiable,":[27],"this":[28,41],"case":[31],"random":[33],"non-response":[34],"and":[35,83,93],"deal":[37],"with":[38,50,85],"such":[39],"situations,":[40],"work":[42],"proposes":[43],"some":[44,60],"alternative":[45],"imputations":[46],"methods":[47,57],"cope":[49],"missing":[52],"data.":[53],"The":[54,73],"proposed":[55],"imputation":[56],"result":[58],"efficient":[61],"estimation":[62,78],"procedures":[63,79],"current":[66],"mean":[68],"two-occasion":[70],"successive":[71],"sampling.":[72],"properties":[74],"resultant":[77],"have":[80,89],"been":[81,90],"examined":[82],"supplemented":[84],"empirical":[86],"studies.":[87],"Results":[88],"critically":[91],"analyzed,":[92],"recommendations":[94],"are":[95],"made":[96],"practitioners.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
