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ASTM D4467-94(2001)
Standard Practice for Interlaboratory Testing of a Textile Test Method That Produces Non-Normally Distributed Data (Withdrawn 2010)
14 стр.
Отменен
Электронный (pdf)Печатное издание
107.64 $ (включая НДС 20%)
Разработчик:
Зарубежные/ASTM
ICS:
59.080.01 Textiles. Including colour fastness of textiles / Текстиль в целом. Включая прочность окраски текстиля
Сборник (ASTM):
07.02 Textiles (II): D4393–latest / Текстиль (II): с D4393 и далее
Тематика:
Textiles
Описание
Причина отмены

This practice covers design and analysis of interlaboratory testing of a test procedure in the case where the resulting test data are discrete variates or are continuous variates not normally distributed. This practice applies to all such interlaboratory tests used to validate a test procedure.

This practice is being withdrawn because D13 no longer has the expertise to maintain and statistical standards are being maintained by Committee E11.

Formerly under the jurisdiction of Committee D13 on Textiles and the direct responsibility of Subcommittee D13.93 on Statistics, this practice was withdrawn in February 2010 with no replacement.

Область применения

1.1 This practice covers design and analysis of interlaboratory testing of a test procedure in the case where the resulting test data are discrete variates or are continuous variates not normally distributed. This practice applies to all such interlaboratory tests used to validate a test procedure.

1.2 Analysis of interlaboratory test results permits validation that the process of using the test method is in statistical control and provides the information required to write statements on precision and bias as directed in Practice D2906. It also gives the information for determining the number of specimens per unit in the laboratory sample as required in Practice D2905.

1.3 Precision statements for non-normally distributed data can be written as a function of the level of the property of interest without an interlaboratory test if the underlying distribution is known and statistical control can be assumed.

1.4 If the underlying distribution is unknown, the precision of the test method can only be approximated. There are no generally accepted methods of making approximations of this sort.

1.5 If statistical control cannot be assumed, then a meaningful precision statement cannot be written and the test method should not be used.

1.6 This practice is intended for use with data from test methods that cannot be properly modeled by a normal distribution. See Practices D2904 and E691 for applications that can be modeled by a normal distribution.

1.7 This practice includes the following sections:

Sections
Scope1
Referenced Documents 2
Terminology 3
Significance and Uses 4
General Considerations 5
Basic Statistical Design 6
Pilot-Scale Interlaboratory Test 7
Full-Scale Interlaboratory Test 8
Missing Data 9
Outlying Observations 10
Interpretation of Data 11
Plotting Results 12
Keywords 13
Pilot-Scale and Full-Scale Interlaboratory Tests Annex A1
Calculation of Chi-Square Annex A2

1.8 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of whoever uses this standard to consult and establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use.

Ключевые слова:
discrete data; interlaboratory testing; non-normally distributed data; precision; statist