{"id":102017,"date":"2026-07-08T15:05:48","date_gmt":"2026-07-08T13:05:48","guid":{"rendered":""},"modified":"2026-08-12T03:55:36","modified_gmt":"2026-08-12T01:55:36","slug":"019938b8c3f2-bb7c63be-18ac-4d75-8972-5cb185aaf942","status":"publish","type":"nva_publication","link":"https:\/\/nilu.gnist.dev\/en\/publications\/019938b8c3f2-bb7c63be-18ac-4d75-8972-5cb185aaf942\/","title":{"rendered":"TESTS OF HYPOTHESES IN PRINCIPAL COMPONENT ANALYSIS."},"content":{"rendered":"<p class=\"wp-block-paragraph\">The principal component analysis (PCA) has been described and its applications have been indicated. The purpose was to present a self-contained account of the tests of statistical hypotheses in the PCA to enable their propper use. Several examples are included as well as a review of literature.<\/p>\n","protected":false},"template":"","meta":{"_acf_changed":false,"_searchwp_excluded":"","_id":"","_status":"PUBLISHED","_sync_date":"2026-07-08 15:05:48","footnotes":""},"nva_tax_category":[1055],"class_list":["post-102017","nva_publication","type-nva_publication","status-publish","hentry","nva_tax_category-report"],"acf":[],"_links":{"self":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/nva_publication\/102017","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/nva_publication"}],"about":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/types\/nva_publication"}],"version-history":[{"count":1,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/nva_publication\/102017\/revisions"}],"predecessor-version":[{"id":102018,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/nva_publication\/102017\/revisions\/102018"}],"wp:attachment":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/media?parent=102017"}],"wp:term":[{"taxonomy":"nva_tax_category","embeddable":true,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/nva_tax_category?post=102017"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}