These are methods that use a lot of computing power and they only really became possible outside powerful mainframes through the last quarter of the 20th Century. However, they are now possible even on very ordinary personal computers.<\/p>\n\n\n\n
See entries for jackknife<\/a> and bootstrap methods.<\/p>\n\n\n\n In practice many modern statistical analyses like multi-level modelling, complex structural equation models and much simulating of data actually require as much work of a computer as do bootstrapping and more than most jackknifing but the term “computer intensive methods” is essentially restricted to these estimation methods.<\/p>\n\n\n\n Parametric statistics Not mentioned in the book but methods used in the examples in chapter 8.<\/p>\n\n\n\n Created 13\/11\/21.<\/p>\n","protected":false},"excerpt":{"rendered":" These are methods that use a lot of computing power and they only really became possible outside powerful mainframes through the last quarter of the 20th Century. However, they are now possible even on very ordinary personal computers. Details See entries for jackknife and bootstrap methods. In practice many modern statistical analyses like multi-level modelling, … Continue reading Computer intensive statistics\/methods<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"footnotes":""},"doc_category":[18],"glossaries":[],"doc_tag":[],"knowledge_base":[],"class_list":["post-2578","docs","type-docs","status-publish","hentry","doc_category-om-book"],"year_month":"2026-04","word_count":117,"total_views":"1246","reactions":{"happy":"0","normal":"0","sad":"0"},"author_info":{"name":"chris","author_nicename":"chris","author_url":"https:\/\/www.psyctc.org\/psyctc\/author\/chris\/"},"doc_category_info":[{"term_name":"All OM book glossary entries","term_url":"https:\/\/www.psyctc.org\/psyctc\/glossary\/non-knowledgebase\/om-book\/"}],"doc_tag_info":[],"knowledge_base_info":[],"knowledge_base_slug":[],"_links":{"self":[{"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/docs\/2578","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/types\/docs"}],"author":[{"embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/comments?post=2578"}],"version-history":[{"count":3,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/docs\/2578\/revisions"}],"predecessor-version":[{"id":2591,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/docs\/2578\/revisions\/2591"}],"wp:attachment":[{"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/media?parent=2578"}],"wp:term":[{"taxonomy":"doc_category","embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/doc_category?post=2578"},{"taxonomy":"glossaries","embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/glossaries?post=2578"},{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/doc_tag?post=2578"},{"taxonomy":"knowledge_base","embeddable":true,"href":"https:\/\/www.psyctc.org\/psyctc\/wp-json\/wp\/v2\/knowledge_base?post=2578"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Try also<\/h4>\n\n\n\n
Non-parametric statistics
Gaussian (“Normal”) distribution<\/a>
Distribution<\/a>
Mean<\/a>
Variance<\/a>
Distribution shape<\/p>\n\n\n\nChapters<\/h4>\n\n\n\n
Dates<\/h4>\n\n\n\n