{"id":17138,"date":"2024-10-16T22:18:45","date_gmt":"2024-10-16T22:18:45","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/astm-d6299-2010\/"},"modified":"2024-10-24T12:26:56","modified_gmt":"2024-10-24T12:26:56","slug":"astm-d6299-2010","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/astm\/astm-d6299-2010\/","title":{"rendered":"ASTM-D6299 2010"},"content":{"rendered":"<\/p>\n

1.1 This practice covers information for the design and operation of a program to monitor and control ongoing stability and precision and bias performance of selected analytical measurement systems using a collection of generally accepted statistical quality control (SQC) procedures and tools.<\/p>\n

Note<\/span> 1A complete list of criteria for selecting measurement systems to which this practice should be applied and for determining the frequency at which it should be applied is beyond the scope of this practice. However, some factors to be considered include ( 1<\/span> ) frequency of use of the analytical measurement system, ( 2<\/span> ) criticality of the parameter being measured, ( 3<\/span> ) system stability and precision performance based on historical data, ( 4<\/span> ) business economics, and ( 5<\/span> ) regulatory, contractual, or test method requirements.<\/p>\n

1.2 This practice is applicable to stable analytical measurement systems that produce results on a continuous numerical scale.<\/p>\n

1.3 This practice is applicable to laboratory test methods.<\/p>\n

1.4 This practice is applicable to validated process stream analyzers.<\/p>\n

1.5 This practice is applicable to monitoring the differences between two analytical measurement systems that purport to measure the same property provided that both systems have been assessed in accordance with the statistical methodology in Practice D6708 and the appropriate bias applied.<\/p>\n

Note<\/span> 2For validation of univariate process stream analyzers, see also Practice D3764 .<\/p>\n

Note<\/span> 3One or both of the analytical systems in 1.5 can be laboratory test methods or validated process stream analyzers.<\/p>\n

1.6 This practice assumes that the normal (Gaussian) model is adequate for the description and prediction of measurement system behavior when it is in a state of statistical control.<\/p>\n

Note<\/span> 4For non-Gaussian processes, transformations of test results may permit proper application of these tools. Consult a statistician for further guidance and information.<\/p>\n

PDF Catalog<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
PDF Pages<\/th>\nPDF Title<\/th>\n<\/tr>\n
1<\/td>\nScope
Referenced Documents
Terminology <\/td>\n<\/tr>\n
3<\/td>\nSummary of Practice
Significance and Use
Reference Materials <\/td>\n<\/tr>\n
4<\/td>\nQuality Assurance (QA) Program for Individual Measurement Systems <\/td>\n<\/tr>\n
5<\/td>\nProcedure for Pretreatment, Assessment, and Interpretation of Test Results <\/td>\n<\/tr>\n
7<\/td>\nEvaluation of System Performance in Terms of Precision and Bias <\/td>\n<\/tr>\n
8<\/td>\nValidation of System Performance Estimates Using VA Samples <\/td>\n<\/tr>\n
9<\/td>\nA1. STATISTICAL QUALITY CONTROL TOOLS
A1.1 Purpose of this Annex
A1.3 The Run Chart
A1.4 Normality, Data Independence, and Resolution Adequacy Checks <\/td>\n<\/tr>\n
11<\/td>\nA1.5 The Control Chart <\/td>\n<\/tr>\n
12<\/td>\nA1.6 t-Test <\/td>\n<\/tr>\n
13<\/td>\nA1.7 Approximate Chi-Square Test
A1.8 Approximate F-Test <\/td>\n<\/tr>\n
14<\/td>\nA1.9 Q-Procedure <\/td>\n<\/tr>\n
16<\/td>\nTABLE A1.1 <\/td>\n<\/tr>\n
17<\/td>\nTABLE A1.2
TABLE A1.3
TABLE A1.4
TABLE A1.5 <\/td>\n<\/tr>\n
18<\/td>\nTABLE A1.6
TABLE A1.7
TABLE A1.8
TABLE A1.9
TABLE A1.10 <\/td>\n<\/tr>\n
19<\/td>\nTABLE A1.11
TABLE A1.12
TABLE A1.13 <\/td>\n<\/tr>\n
20<\/td>\nFIG. A1.1
FIG. A1.2
FIG. A1.3 <\/td>\n<\/tr>\n
21<\/td>\nFIG. A1.4 <\/td>\n<\/tr>\n
22<\/td>\nFIG. A1.4 <\/td>\n<\/tr>\n
23<\/td>\nFIG. A1.6 <\/td>\n<\/tr>\n
24<\/td>\nFIG. A1.6 <\/td>\n<\/tr>\n
25<\/td>\nFIG. A1.8
FIG. A1.9
FIG. A1.10
FIG. A1.11
FIG. A1.12
FIG. A1.13 <\/td>\n<\/tr>\n
26<\/td>\nFIG. A1.14
FIG. A1.15
FIG. A1.16 <\/td>\n<\/tr>\n
27<\/td>\nREFERENCES
FIG. A1.17 <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

D6299-10 Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance<\/b><\/p>\n\n\n\n\n
Published By<\/td>\nPublication Date<\/td>\nNumber of Pages<\/td>\n<\/tr>\n
ASTM<\/b><\/a><\/td>\n2010<\/td>\n27<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":17139,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[97,2637],"product_tag":[],"class_list":{"0":"post-17138","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-03-120-30","7":"product_cat-astm","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\/17138","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\/17139"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=17138"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=17138"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=17138"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}