{"id":339,"date":"2017-05-05T19:19:00","date_gmt":"2017-05-05T19:19:00","guid":{"rendered":"http:\/\/sites.warnercnr.colostate.edu\/gwhite\/?page_id=339"},"modified":"2017-05-05T19:19:00","modified_gmt":"2017-05-05T19:19:00","slug":"mixture-distributions","status":"publish","type":"page","link":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/mixture-distributions\/","title":{"rendered":"Mixture Distributions"},"content":{"rendered":"<p><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\"><a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/index.html\">Contents<\/a> &#8211; <a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/idx.htm\">Index<\/a><\/span><\/p>\n<hr \/>\n<p><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: medium\"><b>Mixture Distributions<\/b><\/span><\/p>\n<p><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\">Mixture distributions are used to model individual heterogeneity of capture probabilities (<\/span><span style=\"font-family: Arial, helvetica, sans-serif;font-size: small\"><a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/pertinentliterature.htm\">Pledger 2000<\/a><\/span><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\">, <\/span><span style=\"font-family: Arial, helvetica, sans-serif;font-size: small\"><a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/pertinentliterature.htm\">Norris and Pollock 1996<\/a><\/span><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\">) in the <a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/heterogeneity_closed_captures.htm\">closed captures<\/a> data type.\u00a0 To change the number of mixture distributions, you have to <a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/data_type_change.htm\">change data type<\/a>, available under the PIM menu choice. Mixture models have also been added for the <a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/occupancy_estimation.htm\">occupancy data type<\/a>, and the <a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/occupancy_estimation_robust_design.htm\">robust design occupancy data types<\/a>.\u00a0 In addition, <\/span><span style=\"font-family: Arial, helvetica, sans-serif;font-size: small\"><a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/heterogeneity_open_models.htm\">mixture models for open populations<\/a><\/span><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\"> are available for the Cormack-Jolly-Seber data type, the <\/span><span style=\"font-family: Arial, helvetica, sans-serif;font-size: small\"><a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/recruitment_parameters.htm\">Pradel data type<\/a><\/span><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\">, the <\/span><span style=\"font-family: Arial, helvetica, sans-serif;font-size: small\"><a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/link_barker.htm\">Link-Barker<\/a><\/span><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\"> data type, and the Seber parameterization of dead recoveries data type (only the survival rate is included in the mixtures, <\/span><span style=\"font-family: Arial, helvetica, sans-serif;font-size: small\"><a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/pertinentliterature.htm\">Pledger and Schwarz 2002<\/a><\/span><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\">)..<\/span><\/p>\n<p><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\">Mixture models consist of a pi parameter that gives the probability of a mixture, with the sum of the pi values equaling 1.\u00a0 In MARK, 1 less pi value is included in the model, so that the last pi value is obtained by substraction.\u00a0 When you specify &gt;2 mixtures, the multinomial logit link function (<a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/link_functions.htm\">mlogit link function)<\/a> on pi is useful to maintain this constraint.<\/span><\/p>\n<p><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\">The PIM for the parameter that is being modeled as a mixture has separate rows for each mixture.\u00a0 So, as an example, for the <\/span><span style=\"font-family: Arial, helvetica, sans-serif;font-size: small\"><a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/recruitment_parameters.htm\">Pradel<\/a><\/span> <span style=\"font-family: Arial, helvetica, sans-serif;font-size: small\"><a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/heterogeneity_open_models.htm\">mixture model<\/a><\/span><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\">, the <i>p<\/i> parameter is modeled as a mixture.\u00a0 Each row of the p PIM corresponds to a mixture.\u00a0 With 2 mixtures, there are 2 rows of p parameters.\u00a0 The same structure is used for the <\/span><span style=\"font-family: Arial, helvetica, sans-serif;font-size: small\"><a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/closed_captures_models.htm\">closed capture models<\/a><\/span><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\"> with <\/span><span style=\"font-family: Arial, helvetica, sans-serif;font-size: small\"><a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/heterogeneity_closed_captures.htm\">mixtures<\/a><\/span><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\">.<\/span><\/p>\n<p><span style=\"color: #0000ff;font-family: Arial, helvetica, sans-serif;font-size: small\">Mixture models can have multiple modes, so care with their optimization should be taken.\u00a0 The <a href=\"http:\/\/oldweb.warnercnr.colostate.edu\/~gwhite\/mark\/markhelp\/optimization_method.htm\">simulated annealing algorithm<\/a> included in MARK is a good method to avoid local maxima.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Contents &#8211; Index Mixture Distributions Mixture distributions are used to model individual heterogeneity of capture probabilities (Pledger 2000, Norris and Pollock 1996) in the closed captures data type.\u00a0 To change the number of mixture distributions, you have to change data &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"more-link\" href=\"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/mixture-distributions\/\"> <span class=\"screen-reader-text\">Mixture Distributions<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":117,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-339","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/pages\/339","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/users\/117"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/comments?post=339"}],"version-history":[{"count":1,"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/pages\/339\/revisions"}],"predecessor-version":[{"id":340,"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/pages\/339\/revisions\/340"}],"wp:attachment":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/gwhite\/wp-json\/wp\/v2\/media?parent=339"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}