{"id":651,"date":"2014-07-15T09:38:15","date_gmt":"2014-07-15T16:38:15","guid":{"rendered":"http:\/\/homepages.uc.edu\/~yaozo\/wordpress\/?p=651"},"modified":"2014-07-15T09:38:15","modified_gmt":"2014-07-15T16:38:15","slug":"bivariate-flood-frequency-analysis-by-r-copula-function","status":"publish","type":"post","link":"https:\/\/zhuoyao.net\/index.php\/2014\/07\/15\/bivariate-flood-frequency-analysis-by-r-copula-function\/","title":{"rendered":"Bivariate Flood Frequency Analysis by R Copula Function"},"content":{"rendered":"<p><a href=\"http:\/\/r4hydrology.wordpress.com\/\">http:\/\/r4hydrology.wordpress.com\/\u00a0<\/a><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"color: #333333;\">The joints distribution frequency analysis by copula family is presented with R code \u00a0(<\/span><a style=\"color: #990000;\" href=\"http:\/\/r4hydrology.files.wordpress.com\/2013\/07\/copulacode.pdf\">example#code<\/a><span style=\"color: #333333;\">). The \u00a0data used in this analysis were \u00a0flood peak, flood volume and flood duration derived from the historical flood. In the example code show the required library package, how to estimate function\u2019s parameters, how to determine the joint probability function from observed data, how to generate\/ synthesis data from copula function and how to create the contour plot.<\/span><br style=\"color: #333333;\" \/><a style=\"color: #990000;\" href=\"http:\/\/r4hydrology.files.wordpress.com\/2013\/07\/copula_flood.jpg\"><img decoding=\"async\" class=\"aligncenter size-full wp-image-400\" src=\"http:\/\/r4hydrology.files.wordpress.com\/2013\/07\/copula_flood.jpg?w=529\" alt=\"copula_flood\" \/><\/a><span style=\"color: #333333;\">Note : the input format has 4 colums : YEAR, Flood Volume, Flood Duration and Flood Peak<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>http:\/\/r4hydrology.wordpress.com\/\u00a0 &nbsp; The joints distribution frequency analysis by copula family is presented with R code \u00a0(example#code). The \u00a0data used in this analysis were \u00a0flood peak,&hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-651","post","type-post","status-publish","format-standard","hentry","category-r"],"_links":{"self":[{"href":"https:\/\/zhuoyao.net\/index.php\/wp-json\/wp\/v2\/posts\/651","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/zhuoyao.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/zhuoyao.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/zhuoyao.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/zhuoyao.net\/index.php\/wp-json\/wp\/v2\/comments?post=651"}],"version-history":[{"count":0,"href":"https:\/\/zhuoyao.net\/index.php\/wp-json\/wp\/v2\/posts\/651\/revisions"}],"wp:attachment":[{"href":"https:\/\/zhuoyao.net\/index.php\/wp-json\/wp\/v2\/media?parent=651"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/zhuoyao.net\/index.php\/wp-json\/wp\/v2\/categories?post=651"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/zhuoyao.net\/index.php\/wp-json\/wp\/v2\/tags?post=651"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}