{"id":511,"date":"2017-11-28T10:51:30","date_gmt":"2017-11-28T10:51:30","guid":{"rendered":"http:\/\/www.mcmalchimia.com\/?p=511"},"modified":"2020-10-28T11:39:06","modified_gmt":"2020-10-28T11:39:06","slug":"gamma-distribution","status":"publish","type":"post","link":"https:\/\/www.mcm-alchimia.com\/en\/gamma-distribution\/","title":{"rendered":"Gamma distribution"},"content":{"rendered":"<h4> Gamma distribution. <\/h4>\n<p><img class = \"alignleft size-medium wp-image-479\" src = \"http:\/\/www.mcm-alchimia.com\/wp-content\/uploads\/2017\/11\/gamma-300x295.png\" alt = \"\" width = \"300\" height = \"295\" \/> This distribution is a continuous function of biased character, that is, where the modal value does not correspond to the mean value. The Gamma distribution is a generalization of the exponential distribution, and is used in general to model random variables that represent the time in which an event occurs a certain number of times.<\/p>\n<p>The pseudo-random generated by the application are an approximation (G. Marsaglia and W. Tsang) with a single input parameter called &#8220;shape&#8221;, which must be a positive real number. From version 3.2 it is possible to describe gamma functions with any standard deviation (using the second parameter named scale).<\/p>\n<p><strong> Input parameters: <\/ strong><\/p>\n<ul>\n<li> <strong> Shape. <\/strong> This parameter defines the shape of the distribution. You can take as a value any number greater than zero, from field of real numbers. <\/li>\n<li> <strong> Scale. <\/strong> This second parameter allows you to scale the resulting values \u200b\u200bfrom the standard Gamma distribution, where this parameter is always 1. In this way it is possible to generate pseudo-random values with the same shape but with a greater standard deviation. <\/li>\n<\/ul>\n<hr \/>\n<p>More help<\/p>\n<ul>\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\/beta-distribution\/\"> Beta <\/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>Gamma distribution. This distribution is a continuous function of biased character, that is, where the modal value does not correspond to the mean value. The Gamma distribution is a generalization of the exponential distribution, and is used in general to model random variables that represent the time in which an event occurs a certain number [&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-511","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\/511","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=511"}],"version-history":[{"count":8,"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/posts\/511\/revisions"}],"predecessor-version":[{"id":9231,"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/posts\/511\/revisions\/9231"}],"wp:attachment":[{"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/media?parent=511"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/categories?post=511"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mcm-alchimia.com\/en\/wp-json\/wp\/v2\/tags?post=511"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}