{"id":62761,"date":"2024-10-17T12:02:18","date_gmt":"2024-10-17T12:02:18","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/astm-d4483-2011\/"},"modified":"2024-10-24T18:05:42","modified_gmt":"2024-10-24T18:05:42","slug":"astm-d4483-2011","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/astm\/astm-d4483-2011\/","title":{"rendered":"ASTM-D4483 2011"},"content":{"rendered":"<\/p>\n
1.1 This practice covers guidelines for evaluating precision and serves as the governing practice for interlaboratory test programs (ITP) used to evaluate precision for test methods as used in the rubber manufacturing and the carbon black industries. This practice uses the basic one way analysis of variance calculation algorithms of Practice E691 . Although bias is not evaluated in this practice, it is an essential concept in understanding precision evaluation.<\/p>\n
1.2 This practice applies to test methods that have test results expressed in terms of a quantitative continuous variable. Although exceptions may occur, it is in general limited to test methods that are fully developed and in routine use in a number of laboratories.<\/p>\n
1.3 Two precision evaluation methods are given that are described as robust statistical<\/span> procedures that attempt to eliminate or substantially decrease the influence of outliers. The first is a General Precision<\/span> procedure intended for all test methods in the rubber manufacturing industry, and the second is a specific variation of the general precision procedure designated as Special Precision<\/span> , that applies to carbon black testing. Both of these procedures use the same uniform level experimental design and the Mandel h<\/span> and k<\/span> statistics to review the precision database for potential outliers. However, they use slight modifications in the procedure for rejecting incompatible data values as outliers. The Special Precision<\/span> procedure is specific as to the number of replicates per database cell or material-laboratory combination.<\/p>\n D4483-05a(2011) Standard Practice for Evaluating Precision for Test Method Standards in the Rubber and Carbon Black Manufacturing Industries<\/b><\/p>\nPDF Catalog<\/h4>\n
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\n PDF Pages<\/th>\n PDF Title<\/th>\n<\/tr>\n \n 1<\/td>\n Scope <\/td>\n<\/tr>\n \n 2<\/td>\n Referenced Documents
Terminology <\/td>\n<\/tr>\n\n 4<\/td>\n Significance and Use <\/td>\n<\/tr>\n \n 5<\/td>\n Precision Evaluation: General Precision and Special Precision <\/td>\n<\/tr>\n \n 6<\/td>\n Steps in Organizing an Interlaboratory Test Program <\/td>\n<\/tr>\n \n 7<\/td>\n Overview of General Precision Analysis Procedure
TABLE 1 <\/td>\n<\/tr>\n\n 8<\/td>\n FIG. 1 <\/td>\n<\/tr>\n \n 9<\/td>\n General Precision: Analysis Step 1 <\/td>\n<\/tr>\n \n 10<\/td>\n TABLE 2
TABLE 3 <\/td>\n<\/tr>\n\n 11<\/td>\n General Precision: Analysis Step 2 <\/td>\n<\/tr>\n \n 12<\/td>\n General Precision: Analysis Step 3
Special Precision Analysis\u2014Carbon Black Testing
TABLE 4
TABLE 5 <\/td>\n<\/tr>\n\n 13<\/td>\n Format for Precision Table and Section or Clause in Test Method Standards
TABLE 6 <\/td>\n<\/tr>\n\n 14<\/td>\n Report for Precision Evaluation ITP <\/td>\n<\/tr>\n \n 15<\/td>\n Keywords
A1. DEFINITIONS FOR SELECTED TERMS CONCERNED WITH PRECISION AND TESTING
A1.1 General Background
A1.2 Basic Statistical Definitions <\/td>\n<\/tr>\n\n 16<\/td>\n A2. STATISTICAL MODEL FOR INTERLABORATORY TESTING PROGRAMS
A2.1 Introduction <\/td>\n<\/tr>\n\n 17<\/td>\n A2.2 General Model
A2.3 Specific Model Format <\/td>\n<\/tr>\n\n 18<\/td>\n A2.4 Evaluating Process and Measurement Variance <\/td>\n<\/tr>\n \n 19<\/td>\n A2.5 Relating the Bias and Random Terms to Measurement Precision <\/td>\n<\/tr>\n \n 20<\/td>\n A3. CALCULATING THE h AND k DATA CONSISTENCY STATISTICS
A3.1 General Background
A3.2 Defining and Calculating the h Statistic
A3.3 Defining and Calculating the k Statistic <\/td>\n<\/tr>\n\n 21<\/td>\n A3.4 Identification of Outliers Using the Critical h and k Values
A4. SPREADSHEET CALCULATION FORMULAS FOR PRECISION PARAMETERS, RECOMMENDED SPREADSHEET TABLE LAYOUT AND DATA CALCULATION SEQUENCE
A4.1 Calculation Formulas
TABLE A3.1 <\/td>\n<\/tr>\n\n 22<\/td>\n A4.2 Table Layout for Spreadsheet Calculations <\/td>\n<\/tr>\n \n 24<\/td>\n A4.3 Sequence of Database Calculations for Precision <\/td>\n<\/tr>\n \n 25<\/td>\n A5. PROCEDURE FOR CALCULATING REPLACEMENT VALUES FOR DELETED OUTLIERS
A5.1 Introduction
A5.2 The Replacement Procedure <\/td>\n<\/tr>\n\n 26<\/td>\n A5.3
A5.4 <\/td>\n<\/tr>\n\n 27<\/td>\n A5.5
A5.6
A6. AN EXAMPLE OF GENERAL PRECISION EVALUATION\u2014MOONEY VISCOSITY TESTING
A6.1 Introduction <\/td>\n<\/tr>\n\n 28<\/td>\n A6.2 Part 1: Outlier Replacement\u2014Analysis Step 1 <\/td>\n<\/tr>\n \n 29<\/td>\n FIG. A6.1 <\/td>\n<\/tr>\n \n 30<\/td>\n A6.3 Part 1: Outlier Replacement – Analysis Step 2
FIG. A6.2 <\/td>\n<\/tr>\n\n 31<\/td>\n FIG. A6.3 <\/td>\n<\/tr>\n \n 32<\/td>\n FIG. A6.4 <\/td>\n<\/tr>\n \n 33<\/td>\n A6.4 Part 1: Outlier Replacement\u2014Analysis Step 3
A6.5 Part 2: General Precision Analysis\u2014Option 1: Outlier Deletion
A6.6 Part 2: Outlier Deletion\u2014Analysis Step 2
FIG. A6.5 <\/td>\n<\/tr>\n\n 34<\/td>\n A6.7 Part 2: Outlier Deletion\u2014Analysis Step 3
A6.8 Discussion of Precision Results: Option 1 versus Option 2 <\/td>\n<\/tr>\n\n 35<\/td>\n TABLE A6.1 <\/td>\n<\/tr>\n \n 36<\/td>\n TABLE A6.2
TABLE A6.3 <\/td>\n<\/tr>\n\n 37<\/td>\n TABLE A6.4
TABLE A6.5 <\/td>\n<\/tr>\n\n 38<\/td>\n TABLE A6.6 <\/td>\n<\/tr>\n \n 39<\/td>\n TABLE A6.7 <\/td>\n<\/tr>\n \n 40<\/td>\n TABLE A6.8
TABLE A6.9 <\/td>\n<\/tr>\n\n 41<\/td>\n TABLE A6.10
TABLE A6.11 <\/td>\n<\/tr>\n\n 42<\/td>\n TABLE A6.12 <\/td>\n<\/tr>\n \n 43<\/td>\n TABLE A6.13 <\/td>\n<\/tr>\n \n 44<\/td>\n TABLE A6.14 <\/td>\n<\/tr>\n \n 45<\/td>\n TABLE A6.15
TABLE A6.16 <\/td>\n<\/tr>\n\n 46<\/td>\n TABLE A6.17
TABLE A6.18 <\/td>\n<\/tr>\n\n 47<\/td>\n TABLE A6.19
TABLE A6.20 <\/td>\n<\/tr>\n\n 48<\/td>\n TABLE A6.21 <\/td>\n<\/tr>\n \n 49<\/td>\n TABLE A6.22
TABLE A6.23 <\/td>\n<\/tr>\n\n 50<\/td>\n TABLE A6.24
TABLE A6.25 <\/td>\n<\/tr>\n\n 51<\/td>\n TABLE A6.26 <\/td>\n<\/tr>\n \n 52<\/td>\n TABLE A6.27 <\/td>\n<\/tr>\n \n 53<\/td>\n TABLE A6.28 <\/td>\n<\/tr>\n \n 54<\/td>\n TABLE A6.29
TABLE A6.30 <\/td>\n<\/tr>\n\n 55<\/td>\n TABLE A6.31
TABLE A6.32 <\/td>\n<\/tr>\n\n 56<\/td>\n TABLE A6.33
TABLE A6.34 <\/td>\n<\/tr>\n\n 57<\/td>\n TABLE A6.35 <\/td>\n<\/tr>\n \n 58<\/td>\n TABLE A6.36 <\/td>\n<\/tr>\n \n 59<\/td>\n TABLE A6.37
TABLE A6.38 <\/td>\n<\/tr>\n\n 60<\/td>\n REFERENCES
TABLE A6.39 <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"\n\n
\n Published By<\/td>\n Publication Date<\/td>\n Number of Pages<\/td>\n<\/tr>\n \n ASTM<\/b><\/a><\/td>\n 2011<\/td>\n 60<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":62762,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[2637],"product_tag":[],"class_list":{"0":"post-62761","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-astm","8":"first","9":"instock","10":"sold-individually","11":"shipping-taxable","12":"purchasable","13":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product\/62761","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\/62762"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=62761"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=62761"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=62761"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}