{"id":596977,"date":"2024-11-05T21:50:05","date_gmt":"2024-11-05T21:50:05","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/iso-16269-82004\/"},"modified":"2024-11-05T21:50:05","modified_gmt":"2024-11-05T21:50:05","slug":"iso-16269-82004","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/iso\/iso-16269-82004\/","title":{"rendered":"ISO 16269-8:2004"},"content":{"rendered":"<p>ISO 16269-8:2004 specifies methods of determining prediction intervals for a single continuously distributed variable. These are ranges of values of the variable, derived from a random sample of size <i>n<\/i>, for which a prediction relating to a further randomly selected sample of size <i>m<\/i> from the same population may be made with a specified confidence<i>.<\/i><\/p>\n<p>Three different types of population are considered, namely normally distributed with unknown standard deviation, normally distributed with known standard deviation, and continuous but of unknown form.<\/p>\n<p>For each of these three types of population, two methods are presented, one for one-sided prediction intervals and one for symmetric two-sided prediction intervals. In all cases, there is a choice from among six confidence levels.<\/p>\n<p>The methods presented for types of population that are normally distributed with unknown standard deviation and normally distributed with known standard deviation may also be used for non-normally distributed populations that can be transformed to normality.<\/p>\n<p>For types of population that are normally distributed with unknown standard deviation and normally distributed with known standard deviation, the tables presented in ISO 16269-8:2004 are restricted to prediction intervals containing <i>all<\/i> the further <i>m<\/i> sampled values of the variable. For types of population that are continuous but of unknown form, the tables relate to prediction intervals that contain at least <i>m &#8211; r<\/i> of the next <i>m<\/i> values, where <i>r<\/i> takes values from 0 to 10 or 0 to <i>m &#8211; <\/i>1, whichever range is smaller.<\/p>\n<p>For normally distributed populations, a procedure is also provided for calculating prediction intervals for the mean of <i>m<\/i> further observations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><b>Statistical interpretation of data \u2014 Part 8: Determination of prediction intervals<\/b><\/p>\n<table style=\"width: 100%\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td>Published By<\/td>\n<td>Publication Date<\/td>\n<td>Number of Pages<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/pdfstandards.shop\/product-category\/publishers\/iso\/\"><b>ISO<\/b><\/a><\/td>\n<td>2004-09<\/td>\n<td>116<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":596990,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[97,2634],"product_tag":[],"class_list":{"0":"post-596977","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-03-120-30","7":"product_cat-iso","9":"first","10":"instock","11":"sold-individually","12":"shipping-taxable","13":"purchasable","14":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product\/596977","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media\/596990"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=596977"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=596977"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=596977"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}