{"id":10968,"date":"2020-03-01T16:06:05","date_gmt":"2020-03-01T08:06:05","guid":{"rendered":"https:\/\/ibnusina.utm.my\/?p=10968"},"modified":"2020-03-01T16:09:34","modified_gmt":"2020-03-01T08:09:34","slug":"functional-data-analysis","status":"publish","type":"post","link":"https:\/\/research.utm.my\/isi-sir\/blog\/2020\/03\/01\/functional-data-analysis\/","title":{"rendered":"Functional data analysis"},"content":{"rendered":"\n<p>&nbsp;<\/p>\n\n\n\n<p class=\"has-background has-very-light-gray-background-color\"><strong>Dr. Shariffah Suhaila Syed Jamaludin<\/strong><\/p>\n\n\n\n<p class=\"has-drop-cap\">Functional data analysis (FDA) is a branch of statistics that analyzes data providing information about curves, surfaces or anything else varying over a continuum. In its most general form, under an FDA framework, each sample element is considered to be a function. The physical continuum over which these functions are defined is often time, but may also be spatial location, wavelength, probability, etc.<\/p>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Publications<\/h4>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-image is-style-default\"><figure class=\"aligncenter size-large\"><a href=\"https:\/\/scholar.google.com.my\/citations?user=VZBNKRcAAAAJ&amp;hl=en\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"124\" height=\"42\" src=\"https:\/\/research.utm.my\/wp-content\/uploads\/sites\/63\/2020\/02\/google.png\" alt=\"\" class=\"wp-image-10596\"\/><\/a><\/figure><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-image is-style-default\"><figure class=\"aligncenter size-large\"><a href=\"https:\/\/www.scopus.com\/authid\/detail.uri?authorId=22136916700\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"146\" height=\"42\" src=\"https:\/\/research.utm.my\/wp-content\/uploads\/sites\/63\/2020\/02\/scopusr_wmk_151_rgb1.png\" alt=\"\" class=\"wp-image-10597\"\/><\/a><\/figure><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-image is-style-default\"><figure class=\"aligncenter size-large\"><a href=\"https:\/\/publons.com\/researcher\/2508707\/shariffah-suhaila-syed-jamaludin\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"104\" height=\"42\" src=\"https:\/\/research.utm.my\/wp-content\/uploads\/sites\/63\/2020\/02\/light_blue_alt3.png\" alt=\"\" class=\"wp-image-10598\"\/><\/a><\/figure><\/div>\n<\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Dr. Shariffah Suhaila Syed Jamaludin Functional data analysis (FDA) is a branch of statistics that analyzes data providing information about curves, surfaces or anything else varying over a continuum. In its most general form, under an FDA framework, each sample element is considered to be a function. The physical continuum over which these functions [&hellip;]<\/p>\n","protected":false},"author":11421,"featured_media":10970,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[49],"tags":[],"class_list":["post-10968","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-everything"],"_links":{"self":[{"href":"https:\/\/research.utm.my\/isi-sir\/wp-json\/wp\/v2\/posts\/10968","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.utm.my\/isi-sir\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.utm.my\/isi-sir\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.utm.my\/isi-sir\/wp-json\/wp\/v2\/users\/11421"}],"replies":[{"embeddable":true,"href":"https:\/\/research.utm.my\/isi-sir\/wp-json\/wp\/v2\/comments?post=10968"}],"version-history":[{"count":0,"href":"https:\/\/research.utm.my\/isi-sir\/wp-json\/wp\/v2\/posts\/10968\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.utm.my\/isi-sir\/wp-json\/wp\/v2\/media\/10970"}],"wp:attachment":[{"href":"https:\/\/research.utm.my\/isi-sir\/wp-json\/wp\/v2\/media?parent=10968"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.utm.my\/isi-sir\/wp-json\/wp\/v2\/categories?post=10968"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.utm.my\/isi-sir\/wp-json\/wp\/v2\/tags?post=10968"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}