{"id":447,"date":"2023-07-29T21:22:36","date_gmt":"2023-07-29T21:22:36","guid":{"rendered":"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/"},"modified":"2023-07-29T21:22:36","modified_gmt":"2023-07-29T21:22:36","slug":"distribusi-laki-laki-yang-seragam","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/","title":{"rendered":"Estimasi kemungkinan maksimum (mle) untuk distribusi seragam"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/id\/distribusi-seragam\/\" target=\"_blank\" rel=\"noopener\">Distribusi seragam<\/a> adalah distribusi probabilitas yang setiap nilai antara interval <em>a<\/em> sampai <em>b<\/em> mempunyai peluang yang sama untuk dipilih.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Peluang terambilnya nilai antara x <sub>1<\/sub> dan x <sub>2<\/sub> pada selang waktu <em>a<\/em> sampai <em>b<\/em> dapat dicari dengan menggunakan rumus:<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\">P(dapatkan nilai antara x <sub>1<\/sub> dan x <sub>2<\/sub> ) = (x<\/span> <span style=\"color: #000000;\"><sub>2<\/sub><\/span> <span style=\"color: #000000;\">\u2013 x <sub>1<\/sub> ) \/ (b \u2013 a)<\/span> <\/p>\n<p><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/uniforme_pic.jpg\" alt=\"Contoh distribusi seragam\" srcset=\"\" sizes=\"\"><\/p>\n<p> <span style=\"color: #000000;\">Tutorial ini menjelaskan cara mencari <strong>estimasi kemungkinan maksimum (MLE)<\/strong> untuk parameter <em>a<\/em> dan <em>b<\/em> distribusi seragam.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>Estimasi kemungkinan maksimum<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\"><strong>Langkah 1: Tulis fungsi kemungkinan.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Untuk distribusi seragam, fungsi kemungkinan dapat dituliskan:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Langkah 2: Tulis fungsi log-likelihood.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Langkah 3: Temukan nilai <em>a<\/em> dan <em>b<\/em> yang memaksimalkan log-likelihood dengan mengambil turunan dari fungsi log-likelihood terhadap <em>a<\/em> dan <em>b<\/em> .<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Turunan fungsi log-likelihood terhadap <em>a<\/em> dapat ditulis:<\/span><\/p>\n<p> <span style=\"color: #000000;\">Demikian pula, turunan fungsi log-likelihood terhadap <em>b<\/em> dapat ditulis:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Langkah 4: Identifikasi penduga kemungkinan maksimum untuk <em>a<\/em> dan <em>b.<\/em><\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">Perhatikan bahwa turunan terhadap <em>a<\/em> meningkat secara monoton. Jadi laki-laki untuk <em>a<\/em> akan menjadi sebesar <em>mungkin<\/em> , yang secara sederhana akan menjadi:<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\">menit(X <sub>1<\/sub> , X <sub>2<\/sub> , \u2026 , <sub>Xn<\/sub> )<\/span><\/p>\n<p> <span style=\"color: #000000;\">Perhatikan juga bahwa turunan terhadap <em>b<\/em> menurun secara monoton. Jadi, male untuk <em>b<\/em> adalah <em>b<\/em> terkecil yang mungkin, yaitu:<\/span><\/p>\n<p style=\"text-align: center;\"> <span style=\"color: #000000;\">maks(X <sub>1<\/sub> , X <sub>2<\/sub> , \u2026 , <sub>Xn<\/sub> )<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Distribusi seragam adalah distribusi probabilitas yang setiap nilai antara interval a sampai b mempunyai peluang yang sama untuk dipilih. Peluang terambilnya nilai antara x 1 dan x 2 pada selang waktu a sampai b dapat dicari dengan menggunakan rumus: P(dapatkan nilai antara x 1 dan x 2 ) = (x 2 \u2013 x 1 ) [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Estimasi Kemungkinan Maksimum (MLE) untuk Distribusi Seragam - Statologi<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara mencari estimasi kemungkinan maksimum (mle) untuk parameter a dan b berdistribusi seragam.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Estimasi Kemungkinan Maksimum (MLE) untuk Distribusi Seragam - Statologi\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara mencari estimasi kemungkinan maksimum (mle) untuk parameter a dan b berdistribusi seragam.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-29T21:22:36+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/uniforme_pic.jpg\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/\",\"url\":\"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/\",\"name\":\"Estimasi Kemungkinan Maksimum (MLE) untuk Distribusi Seragam - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-29T21:22:36+00:00\",\"dateModified\":\"2023-07-29T21:22:36+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara mencari estimasi kemungkinan maksimum (mle) untuk parameter a dan b berdistribusi seragam.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Estimasi kemungkinan maksimum (mle) untuk distribusi seragam\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya\",\"sameAs\":[\"http:\/\/statorials.org\/id\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Estimasi Kemungkinan Maksimum (MLE) untuk Distribusi Seragam - Statologi","description":"Tutorial ini menjelaskan cara mencari estimasi kemungkinan maksimum (mle) untuk parameter a dan b berdistribusi seragam.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/","og_locale":"id_ID","og_type":"article","og_title":"Estimasi Kemungkinan Maksimum (MLE) untuk Distribusi Seragam - Statologi","og_description":"Tutorial ini menjelaskan cara mencari estimasi kemungkinan maksimum (mle) untuk parameter a dan b berdistribusi seragam.","og_url":"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/","og_site_name":"Statorials","article_published_time":"2023-07-29T21:22:36+00:00","og_image":[{"url":"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/uniforme_pic.jpg"}],"author":"Benjamin anderson","twitter_card":"summary_large_image","twitter_misc":{"Ditulis oleh":"Benjamin anderson","Estimasi waktu membaca":"1 menit"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/","url":"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/","name":"Estimasi Kemungkinan Maksimum (MLE) untuk Distribusi Seragam - Statologi","isPartOf":{"@id":"https:\/\/statorials.org\/id\/#website"},"datePublished":"2023-07-29T21:22:36+00:00","dateModified":"2023-07-29T21:22:36+00:00","author":{"@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81"},"description":"Tutorial ini menjelaskan cara mencari estimasi kemungkinan maksimum (mle) untuk parameter a dan b berdistribusi seragam.","breadcrumb":{"@id":"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/#breadcrumb"},"inLanguage":"id","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/id\/distribusi-laki-laki-yang-seragam\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/statorials.org\/id\/"},{"@type":"ListItem","position":2,"name":"Estimasi kemungkinan maksimum (mle) untuk distribusi seragam"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/id\/#website","url":"https:\/\/statorials.org\/id\/","name":"Statorials","description":"Panduan anda untuk kompetensi statistik!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/id\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"id"},{"@type":"Person","@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81","name":"Benjamin anderson","image":{"@type":"ImageObject","inLanguage":"id","@id":"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/","url":"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"Benjamin anderson"},"description":"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. Dengan pengalaman dan keahlian yang luas di bidang statistika, saya ingin berbagi ilmu untuk memberdayakan mahasiswa melalui Statorials. Baca selengkapnya","sameAs":["http:\/\/statorials.org\/id"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/447"}],"collection":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/comments?post=447"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/posts\/447\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/media?parent=447"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/categories?post=447"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/id\/wp-json\/wp\/v2\/tags?post=447"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}