{"id":"https://openalex.org/W2030988990","doi":"https://doi.org/10.1137/1035035","title":"Bayesian Estimation and Experimental Design in Linear Regression Models (J\u00fcrgen Pilz)","display_name":"Bayesian Estimation and Experimental Design in Linear Regression Models (J\u00fcrgen Pilz)","publication_year":1993,"publication_date":"1993-03-01","ids":{"openalex":"https://openalex.org/W2030988990","doi":"https://doi.org/10.1137/1035035","mag":"2030988990"},"language":"en","primary_location":{"id":"doi:10.1137/1035035","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1035035","pdf_url":null,"source":{"id":"https://openalex.org/S160107561","display_name":"SIAM Review","issn_l":"0036-1445","issn":["0036-1445","1095-7200"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Review","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/A5029752487","display_name":"Andrew L. Rukhin","orcid":"https://orcid.org/0000-0002-1146-8595"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Andrew Rukhin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5029752487"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8431,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86482118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"1","first_page":"166","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.644599974155426,"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":0.644599974155426,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.5710999965667725,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6104196310043335},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5794650316238403},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5386614203453064},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5130361318588257},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5044530630111694},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.49543702602386475},{"id":"https://openalex.org/keywords/bayes-estimator","display_name":"Bayes estimator","score":0.42952167987823486},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.41018903255462646},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3998393416404724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32301461696624756},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08786574006080627}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6104196310043335},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5794650316238403},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5386614203453064},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5130361318588257},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5044530630111694},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.49543702602386475},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.42952167987823486},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.41018903255462646},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3998393416404724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32301461696624756},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08786574006080627},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/1035035","is_oa":false,"landing_page_url":"https://doi.org/10.1137/1035035","pdf_url":null,"source":{"id":"https://openalex.org/S160107561","display_name":"SIAM Review","issn_l":"0036-1445","issn":["0036-1445","1095-7200"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Review","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":3,"referenced_works":["https://openalex.org/W44951016","https://openalex.org/W1988520084","https://openalex.org/W3148154343"],"related_works":["https://openalex.org/W2368707535","https://openalex.org/W2352325302","https://openalex.org/W63065332","https://openalex.org/W1990738922","https://openalex.org/W2114728125","https://openalex.org/W3093365844","https://openalex.org/W2914214844","https://openalex.org/W4220780651","https://openalex.org/W2983071886","https://openalex.org/W397719029"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
