8a2e2fccfd2997de711b · Confidence Regions for Parameters of Linear Models
Confidence Regions for Parameters of Linear Models
A method is suggested for constructing a conservative confidence region for the parameters of a general linear model. In meta-analytical applications, when the results of independent but heterogeneous studies are to be combined, this region can be employed
{
"title_en": "Confidence Regions for Parameters of Linear Models",
"designation": "",
"series": "",
"status": "",
"date": "2010-04-01",
"date_original": "April 1, 2010",
"url": "https://www.nist.gov/publications/confidence-regions-parameters-linear-models",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Andrew L. Rukhin",
"abstract_excerpt_en": "A method is suggested for constructing a conservative confidence region for the parameters of a general linear model. In meta-analytical applications, when the results of independent but heterogeneous studies are to be combined, this region can be employed",
"id": "8a2e2fccfd2997de711b",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Confidence Regions for Parameters of Linear Models",
"designation": "",
"series": "",
"status": "",
"date": "2010-04-01",
"date_original": "April 1, 2010",
"url": "https://www.nist.gov/publications/confidence-regions-parameters-linear-models",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Andrew L. Rukhin",
"abstract_excerpt_en": "A method is suggested for constructing a conservative confidence region for the parameters of a general linear model. In meta-analytical applications, when the results of independent but heterogeneous studies are to be combined, this region can be employed"
}
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}