{"id":415417,"date":"2024-10-20T06:05:04","date_gmt":"2024-10-20T06:05:04","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bsi-pd-iso-ts-234712022\/"},"modified":"2024-10-26T11:18:50","modified_gmt":"2024-10-26T11:18:50","slug":"bsi-pd-iso-ts-234712022","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bsi-pd-iso-ts-234712022\/","title":{"rendered":"BSI PD ISO\/TS 23471:2022"},"content":{"rendered":"
PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
---|---|---|---|---|---|---|---|
2<\/td>\n | National foreword <\/td>\n<\/tr>\n | ||||||
6<\/td>\n | Foreword <\/td>\n<\/tr>\n | ||||||
7<\/td>\n | Introduction <\/td>\n<\/tr>\n | ||||||
9<\/td>\n | 1 Scope 2 Normative references 3 Terms and definitions <\/td>\n<\/tr>\n | ||||||
11<\/td>\n | 4 Symbols <\/td>\n<\/tr>\n | ||||||
13<\/td>\n | 5 General principles 5.1 General 5.2 Principles of conventional approach 5.3 Principles of factorial approach 6 Conventional approach 6.1 General considerations <\/td>\n<\/tr>\n | ||||||
14<\/td>\n | 6.2 Selection of samples and levels 6.3 Experimental design 6.4 Statistical analysis 6.4.1 Statistical model <\/td>\n<\/tr>\n | ||||||
15<\/td>\n | 6.4.2 Calculation of in-house repeatability and in-house reproducibility <\/td>\n<\/tr>\n | ||||||
16<\/td>\n | 6.4.3 Calculation of measurement uncertainty <\/td>\n<\/tr>\n | ||||||
17<\/td>\n | 7 Factorial approach 7.1 General considerations 7.2 Selection of sample materials, factors and factor levels <\/td>\n<\/tr>\n | ||||||
18<\/td>\n | 7.3 Experimental design 7.4 Statistical analysis 7.4.1 Statistical model <\/td>\n<\/tr>\n | ||||||
19<\/td>\n | 7.4.2 Calculation of in-house repeatability and in-house reproducibility <\/td>\n<\/tr>\n | ||||||
20<\/td>\n | 7.4.3 Calculation of measurement uncertainty <\/td>\n<\/tr>\n | ||||||
22<\/td>\n | Annex A (informative) REML estimation <\/td>\n<\/tr>\n | ||||||
23<\/td>\n | Annex B (informative) Orthogonal design with 8 factor level combinations for 7 factors with 2 factor levels <\/td>\n<\/tr>\n | ||||||
25<\/td>\n | Annex C (informative) Orthogonal design with 12 factor level combinations for 3 factors with 2 factor levels and 1 factor with 3 factor levels <\/td>\n<\/tr>\n | ||||||
27<\/td>\n | Annex D (informative) Orthogonal design with 9 factor level combinations for 4 factors with 3 factor levels <\/td>\n<\/tr>\n | ||||||
29<\/td>\n | Annex E (informative) Asymmetric measurement uncertainty interval <\/td>\n<\/tr>\n | ||||||
30<\/td>\n | Annex F (informative) Example <\/td>\n<\/tr>\n | ||||||
34<\/td>\n | Bibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Experimental designs for evaluation of uncertainty. Use of factorial designs for determining uncertainty functions<\/b><\/p>\n |