{"id":515,"date":"2017-11-28T10:55:19","date_gmt":"2017-11-28T10:55:19","guid":{"rendered":"http:\/\/www.mcmalchimia.com\/?p=515"},"modified":"2020-10-28T11:36:11","modified_gmt":"2020-10-28T11:36:11","slug":"beta-distribution","status":"publish","type":"post","link":"https:\/\/www.mcm-alchimia.com\/en\/beta-distribution\/","title":{"rendered":"Beta distribution"},"content":{"rendered":"<h4>Beta.<\/h4>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-large wp-image-485\" src=\"http:\/\/www.mcm-alchimia.com\/wp-content\/uploads\/2017\/11\/beta-1024x246.png\" alt=\"\" width=\"1024\" height=\"246\" \/>This distribution is a continuous function with two parameters which must take real values greater than zero. The function is defined between 0 and 1. A particular case of the Beta distribution is when both form parameters take values = 1. In this case the function will coincide with a uniform distribution.<\/p>\n<p><strong> Input parameters: <\/strong><\/p>\n<ul>\n<li> <strong> a, b. <\/strong> Shape parameters. They must be both real numbers greater than zero. <\/li>\n<\/ul>\n<hr \/>\n<p>More help<\/p>\n<ul>\n<li> <a href=\"http:\/\/www.mcm-alchimia.com\/en\/gamma-distribution\/\"> Gamma <\/a> <\/li>\n<li> <a href=\"http:\/\/www.mcm-alchimia.com\/en\/exponential-distribution\/\"> Exponential <\/a> <\/li>\n<li> <a href=\"http:\/\/www.mcm-alchimia.com\/en\/poisson-distribution\/\"> Poisson <\/a> <\/li>\n<li> <a href=\"http:\/\/www.mcm-alchimia.com\/en\/binomial-distribution\/\"> Binomial <\/a> <\/li>\n<li> <a href=\"http:\/\/www.mcm-alchimia.com\/en\/negbinomial-or-negative-binomial-distribution\/\"> NegBinomial <\/a> <\/li>\n<li> <a href=\"http:\/\/www.mcm-alchimia.com\/en\/von-mises-distribution\/\"> Von Mises <\/a> <\/li>\n<li> <a href=\"http:\/\/www.mcm-alchimia.com\/en\/cauchy-distribution\/\"> Cauchy <\/a> <\/li>\n<li> <a href=\"http:\/\/www.mcm-alchimia.com\/en\/Weibull distribution\/\"> Weibull <\/a> <\/li>\n<li> <a href=\"http:\/\/www.mcm-alchimia.com\/en\/chi-square-distribution\/\"> Xi Cuadrado <\/a> <\/li>\n<li> <a href=\"http:\/\/www.mcm-alchimia.com\/en\/lognormal-distribution\/\"> LogNormal <\/a> <\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Beta. This distribution is a continuous function with two parameters which must take real values greater than zero. The function is defined between 0 and 1. A particular case of the Beta distribution is when both form parameters take values = 1. In this case the function will coincide with a uniform distribution. Input parameters: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-515","post","type-post","status-publish","format-standard","hentry","category-soporte-tecnico"],"_links":{"self":[{"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/posts\/515","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/comments?post=515"}],"version-history":[{"count":10,"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/posts\/515\/revisions"}],"predecessor-version":[{"id":9229,"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/posts\/515\/revisions\/9229"}],"wp:attachment":[{"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/media?parent=515"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/categories?post=515"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/tags?post=515"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}