Essec\Faculty\Model\Contribution {#2233 ▼
#_index: "academ_contributions"
#_id: "9950"
#_source: array:26 [
"id" => "9950"
"slug" => "9950-bootstrap-based-q%cc%82kh2-for-the-selection-of-components-and-variables-in-pls-regression"
"yearMonth" => "2003-10"
"year" => "2003"
"title" => "Bootstrap-based Q̂kh2 for the selection of components and variables in PLS regression"
"description" => "AMATO, S. et ESPOSITO VINZI, V. (2003). Bootstrap-based Q̂kh2 for the selection of components and variables in PLS regression. <i>Chemometrics and Intelligent Laboratory Systems</i>, 68(43862), pp. 5-16. 
AMATO, S. et ESPOSITO VINZI, V. (2003). Bootstrap-based Q̂kh2 for the selection of components and va "
"authors" => array:2 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "AMATO Silvano"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Variable and Component Selection"
1 => "RegressionPartial Least Squares Regression"
2 => "Irrelevant factors"
3 => "Bootstrap"
4 => "Cross-validation"
]
"updatedAt" => "2022-12-05 14:03:54"
"publicationUrl" => "https://doi.org/10.1016/S0169-7439(03)00083-2"
"publicationInfo" => array:3 [
"pages" => "5-16"
"volume" => "68"
"number" => "43862"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "The aim of this paper is to suggest a bootstrap-based method for choosing the number of components in Partial Least Squares Regression (PLSR). Cross-validated Qh2 statistic is used, for which is intended to derive a bootstrap distribution and to perform a hypothesis testing. Monte Carlo approximation is adopted. Applications on both artificial and real data are presented. The aim of this paper is to suggest a bootstrap-based method for choosing the number of components i "
"en" => "The aim of this paper is to suggest a bootstrap-based method for choosing the number of components in Partial Least Squares Regression (PLSR). Cross-validated Qh2 statistic is used, for which is intended to derive a bootstrap distribution and to perform a hypothesis testing. Monte Carlo approximation is adopted. Applications on both artificial and real data are presented. The aim of this paper is to suggest a bootstrap-based method for choosing the number of components i "
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2025-04-01T09:21:42.000Z"
"docTitle" => "Bootstrap-based Q̂kh2 for the selection of components and variables in PLS regression"
"docSurtitle" => "Articles"
"authorNames" => "<a href="/cv/esposito-vinzi-vincenzo">ESPOSITO VINZI Vincenzo</a>, AMATO Silvano"
"docDescription" => "<span class="document-property-authors">ESPOSITO VINZI Vincenzo, AMATO Silvano</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2003</span> <span class="document-property-authors">ESPOSITO VINZI Vincenzo, AMATO Silvano</span><br><span class "
"keywordList" => "<a href="#">Variable and Component Selection</a>, <a href="#">RegressionPartial Least Squares Regression</a>, <a href="#">Irrelevant factors</a>, <a href="#">Bootstrap</a>, <a href="#">Cross-validation</a> <a href="#">Variable and Component Selection</a>, <a href="#">RegressionPartial Least Squares Regres "
"docPreview" => "<b>Bootstrap-based Q̂kh2 for the selection of components and variables in PLS regression</b><br><span>2003-10 | Articles </span> <b>Bootstrap-based Q̂kh2 for the selection of components and variables in PLS regression</b><br><spa "
"docType" => "research"
"publicationLink" => "<a href="https://doi.org/10.1016/S0169-7439(03)00083-2" target="_blank">Bootstrap-based Q̂kh2 for the selection of components and variables in PLS regression</a> <a href="https://doi.org/10.1016/S0169-7439(03)00083-2" target="_blank">Bootstrap-based Q̂kh2 for th "
]
+lang: "fr"
+"_type": "_doc"
+"_score": 8.642944
+"parent": null
}
