{"id":355224,"date":"2024-10-20T01:06:57","date_gmt":"2024-10-20T01:06:57","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bs-iso-16269-82004\/"},"modified":"2024-10-26T01:23:14","modified_gmt":"2024-10-26T01:23:14","slug":"bs-iso-16269-82004","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bs-iso-16269-82004\/","title":{"rendered":"BS ISO 16269-8:2004"},"content":{"rendered":"

This part of ISO 16269 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 n<\/i>, for which a prediction relating to a further randomly selected sample of size m<\/i> from the same population may be made with a specified confidence.<\/p>\n

Three different types of population are considered, namely:<\/p>\n

    \n
  1. \n

    normally distributed with unknown standard deviation;<\/p>\n<\/li>\n

  2. \n

    normally distributed with known standard deviation;<\/p>\n<\/li>\n

  3. \n

    continuous but of unknown form.<\/p>\n<\/li>\n<\/ol>\n

    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

    The methods presented for cases a) and b) may also be used for non-normally distributed populations that can be transformed to normality.<\/p>\n

    For cases a) and b) the tables presented in this part of ISO 16269 are restricted to prediction intervals containing all<\/i> the further m<\/i> sampled values of the variable. For case c) the tables relate to prediction intervals that contain at least m<\/i> – r<\/i> of the next m<\/i> values, where r<\/i> takes values from 0 to 10 or 0 to m<\/i> – 1, whichever range is smaller.<\/p>\n

    For normally distributed populations a procedure is also provided for calculating prediction intervals for the mean of m<\/i> further observations.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Statistical interpretation of data – Determination of prediction intervals<\/b><\/p>\n\n\n\n\n
    Published By<\/td>\nPublication Date<\/td>\nNumber of Pages<\/td>\n<\/tr>\n
    BSI<\/b><\/a><\/td>\n2004<\/td>\n118<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":355230,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[97,2641],"product_tag":[],"class_list":{"0":"post-355224","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-03-120-30","7":"product_cat-bsi","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\/355224","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\/355230"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=355224"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=355224"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=355224"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}