{"id":"https://openalex.org/W2005176209","doi":"https://doi.org/10.1109/rait.2012.6194538","title":"Estimation of population mean in two-phase successive sampling","display_name":"Estimation of population mean in two-phase successive sampling","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2005176209","doi":"https://doi.org/10.1109/rait.2012.6194538","mag":"2005176209"},"language":"en","primary_location":{"id":"doi:10.1109/rait.2012.6194538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2012.6194538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 1st International Conference on Recent Advances in Information Technology (RAIT)","raw_type":"proceedings-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/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":"G. N. Singh","raw_affiliation_strings":["Department of Applied Mathematics, Indian School of Mines Dhanbad, Dhanbad, Jharkhand, India","Department of Applied Mathematics , Indian School of Mines , Dhanbad , Jharkhand , 826004 , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Indian School of Mines Dhanbad, Dhanbad, Jharkhand, India","institution_ids":["https://openalex.org/I189109744"]},{"raw_affiliation_string":"Department of Applied Mathematics , Indian School of Mines , Dhanbad , Jharkhand , 826004 , India","institution_ids":["https://openalex.org/I189109744"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091051652","display_name":"D. Majhi","orcid":"https://orcid.org/0000-0002-5876-6290"},"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":"D. Majhi","raw_affiliation_strings":["Department of Applied Mathematics, Indian School of Mines Dhanbad, Dhanbad, Jharkhand, India","Department of Applied Mathematics , Indian School of Mines , Dhanbad , Jharkhand , 826004 , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Indian School of Mines Dhanbad, Dhanbad, Jharkhand, India","institution_ids":["https://openalex.org/I189109744"]},{"raw_affiliation_string":"Department of Applied Mathematics , Indian School of Mines , Dhanbad , Jharkhand , 826004 , India","institution_ids":["https://openalex.org/I189109744"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091513991","display_name":"Shakti Prasad","orcid":"https://orcid.org/0000-0002-7867-7586"},"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":"S. Prasad","raw_affiliation_strings":["Department of Applied Mathematics, Indian School of Mines Dhanbad, Dhanbad, Jharkhand, India","Department of Applied Mathematics , Indian School of Mines , Dhanbad , Jharkhand , 826004 , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Indian School of Mines Dhanbad, Dhanbad, Jharkhand, India","institution_ids":["https://openalex.org/I189109744"]},{"raw_affiliation_string":"Department of Applied Mathematics , Indian School of Mines , Dhanbad , Jharkhand , 826004 , India","institution_ids":["https://openalex.org/I189109744"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09321598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"67","issue":null,"first_page":"861","last_page":"866"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8880631327629089},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6796948909759521},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.515426516532898},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5094702839851379},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48858460783958435},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4802722930908203},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4757256805896759},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4754069447517395},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.4733426868915558},{"id":"https://openalex.org/keywords/population-mean","display_name":"Population mean","score":0.44913190603256226},{"id":"https://openalex.org/keywords/ratio-estimator","display_name":"Ratio estimator","score":0.4303472340106964},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4265735149383545},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.42190906405448914},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4183664321899414},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.41296544671058655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3713494539260864},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3433727025985718},{"id":"https://openalex.org/keywords/efficient-estimator","display_name":"Efficient estimator","score":0.2506042718887329},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.17002391815185547},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07780143618583679}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8880631327629089},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6796948909759521},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.515426516532898},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5094702839851379},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48858460783958435},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4802722930908203},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4757256805896759},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4754069447517395},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.4733426868915558},{"id":"https://openalex.org/C2993060064","wikidata":"https://www.wikidata.org/wiki/Q49918","display_name":"Population mean","level":3,"score":0.44913190603256226},{"id":"https://openalex.org/C118248890","wikidata":"https://www.wikidata.org/wiki/Q7295738","display_name":"Ratio estimator","level":5,"score":0.4303472340106964},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4265735149383545},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42190906405448914},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4183664321899414},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.41296544671058655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3713494539260864},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3433727025985718},{"id":"https://openalex.org/C35594927","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficient estimator","level":4,"score":0.2506042718887329},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.17002391815185547},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07780143618583679},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rait.2012.6194538","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rait.2012.6194538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 1st International Conference on Recent Advances in Information Technology (RAIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W209267424","https://openalex.org/W771204822","https://openalex.org/W1908202588","https://openalex.org/W1981426294","https://openalex.org/W2026106571","https://openalex.org/W2066297029","https://openalex.org/W2073678612","https://openalex.org/W2237872475","https://openalex.org/W2308201212","https://openalex.org/W2321542505","https://openalex.org/W2441415846","https://openalex.org/W2514907054","https://openalex.org/W3027465205","https://openalex.org/W3216090190","https://openalex.org/W6608578334","https://openalex.org/W6622340010","https://openalex.org/W6640026110","https://openalex.org/W6698314895","https://openalex.org/W6718517954","https://openalex.org/W6804456115"],"related_works":["https://openalex.org/W2909441635","https://openalex.org/W2575795810","https://openalex.org/W4247530268","https://openalex.org/W3092983986","https://openalex.org/W1997993105","https://openalex.org/W2996443976","https://openalex.org/W2730275936","https://openalex.org/W4389576610","https://openalex.org/W3022620025","https://openalex.org/W2794300563"],"abstract_inverted_index":{"In":[0],"the":[1,11,33,47,68,77,80,86,89],"present":[2],"work":[3],"an":[4],"attempt":[5],"to":[6],"estimate":[7],"population":[8,34],"mean":[9,35,60],"on":[10,19,36],"current":[12,37,90],"occasion":[13,39],"using":[14],"two-phase":[15],"successive":[16],"(rotation)":[17],"sampling":[18],"two":[20],"occasions":[21],"has":[22],"been":[23,41,51],"made.":[24,101],"Two-phase":[25],"ratio,":[26],"regression":[27],"and":[28,67,82,97],"regression-type":[29],"estimators":[30,49],"for":[31],"estimating":[32],"(second)":[38],"have":[40,50],"proposed.":[42],"Optimum":[43],"replacement":[44],"policies":[45],"of":[46,76,79,85],"proposed":[48,54],"discussed.":[52],"The":[53],"estimator":[55,61,70],"are":[56,94,100],"compared":[57],"with":[58],"sample":[59,87],"when":[62],"there":[63],"is":[64,72],"no":[65],"matching":[66],"optimum":[69],"which":[71],"a":[73],"linear":[74],"combination":[75],"means":[78],"matched":[81],"unmatched":[83],"portions":[84],"at":[88],"occasion.":[91],"Empirical":[92],"studies":[93],"carried":[95],"out":[96],"suitable":[98],"recommendations":[99]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
