ASTM E691-2013 8125 Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method《开展实验室间研究以确定试验方法精度的标准实施规程》.pdf
《ASTM E691-2013 8125 Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method《开展实验室间研究以确定试验方法精度的标准实施规程》.pdf》由会员分享,可在线阅读,更多相关《ASTM E691-2013 8125 Standard Practice for Conducting an Interlaboratory Study to Determine the Precision of a Test Method《开展实验室间研究以确定试验方法精度的标准实施规程》.pdf(22页珍藏版)》请在麦多课文档分享上搜索。
1、Designation: E691 13 An American National StandardStandard Practice forConducting an Interlaboratory Study to Determine thePrecision of a Test Method1This standard is issued under the fixed designation E691; the number immediately following the designation indicates the year oforiginal adoption or,
2、in the case of revision, the year of last revision. A number in parentheses indicates the year of last reapproval. Asuperscript epsilon () indicates an editorial change since the last revision or reapproval.This standard has been approved for use by agencies of the Department of Defense.INTRODUCTION
3、Tests performed on presumably identical materials in presumably identical circumstances do not, ingeneral, yield identical results. This is attributed to unavoidable random errors inherent in every testprocedure; the factors that may influence the outcome of a test cannot all be completely controlle
4、d. Inthe practical interpretation of test data, this inherent variability has to be taken into account. Forinstance, the difference between a test result and some specified value may be within that which canbe expected due to unavoidable random errors, in which case a real deviation from the specifi
5、ed valuehas not been demonstrated. Similarly, the difference between test results from two batches of materialwill not indicate a fundamental quality difference if the difference is no more than can be attributedto inherent variability in the test procedure. Many different factors (apart from random
6、 variationsbetween supposedly identical specimens) may contribute to the variability in application of a testmethod, including: a the operator, b equipment used, c calibration of the equipment, and denvironment (temperature, humidity, air pollution, etc.). It is considered that changing laboratories
7、changes each of the above factors. The variability between test results obtained by different operatorsor with different equipment will usually be greater than between test results obtained by a singleoperator using the same equipment. The variability between test results taken over a long period of
8、time even by the same operator will usually be greater than that obtained over a short period of timebecause of the greater possibility of changes in each of the above factors, especially the environment.The general term for expressing the closeness of test results to the “true” value or the accepte
9、dreference value is accuracy. To be of practical value, standard procedures are required for determiningthe accuracy of a test method, both in terms of its bias and in terms of its precision. This practiceprovides a standard procedure for determining the precision of a test method. Precision, whenev
10、aluating test methods, is expressed in terms of two measurement concepts, repeatability andreproducibility. Under repeatability conditions the factors listed above are kept or remain reasonablyconstant and usually contribute only minimally to the variability. Under reproducibility conditions thefact
11、ors are generally different (that is, they change from laboratory to laboratory) and usuallycontribute appreciably to the variability of test results. Thus, repeatability and reproducibility are twopractical extremes of precision.The repeatability measure, by excluding the factors a through d as con
12、tributing variables, is notintended as a mechanism for verifying the ability of a laboratory to maintain“ in-control” conditionsfor routine operational factors such as operator-to-operator and equipment differences or any effectsof longer time intervals between test results. Such a control study is
13、a separate issue for eachlaboratory to consider for itself, and is not a recommended part of an interlaboratory study.The reproducibility measure (including the factors a through d as sources of variability) reflectswhat precision might be expected when random portions of a homogeneous sample are se
14、nt to random“in-control” laboratories.To obtain reasonable estimates of repeatability and reproducibility precision, it is necessary in aninterlaboratory study to guard against excessively sanitized data in the sense that only the uniquelybest operators are involved or that a laboratory takes unusua
15、l steps to get “good” results. It is alsoimportant to recognize and consider how to treat “poor” results that may have unacceptable assignablecauses (for example, departures from the prescribed procedure). The inclusion of such results in theCopyright ASTM International, 100 Barr Harbor Drive, PO Bo
16、x C700, West Conshohocken, PA 19428-2959. United States1final precision estimates might be questioned.An essential aspect of collecting useful consistent data is careful planning and conduct of the study.Questions concerning the number of laboratories required for a successful study as well as the n
17、umberof test results per laboratory affect the confidence in the precision statements resulting from the study.Other issues involve the number, range, and types of materials to be selected for the study, and theneed for a well-written test method and careful instructions to the participating laborat
18、ories.To evaluate the consistency of the data obtained in an interlaboratory study, two statistics may beused: the “k-value”, used to examine the consistency of the within-laboratory precision fromlaboratory to laboratory, and the “h-value”, used to examine the consistency of the test results fromla
19、boratory to laboratory. Graphical as well as tabular diagnostic tools help in these examinations.1. Scope1.1 This practice describes the techniques for planning,conducting, analyzing, and treating the results of an interlabo-ratory study (ILS) of a test method. The statistical techniquesdescribed in
20、 this practice provide adequate information forformulating the precision statement of a test method.1.2 This practice does not concern itself with the develop-ment of test methods but rather with gathering the informationneeded for a test method precision statement after the devel-opment stage has b
21、een successfully completed. The dataobtained in the interlaboratory study may indicate, however,that further effort is needed to improve the test method.1.3 Since the primary purpose of this practice is the devel-opment of the information needed for a precision statement, theexperimental design in t
22、his practice may not be optimum forevaluating materials, apparatus, or individual laboratories.1.4 Field of ApplicationThis practice is concerned exclu-sively with test methods which yield a single numerical figureas the test result, although the single figure may be the outcomeof a calculation from
23、 a set of measurements.1.4.1 This practice does not cover methods in which themeasurement is a categorization, such as a go-no-go allocation(two categories) or a sorting scheme into two or morecategories. For practical purposes, the discontinuous nature ofmeasurements of these types may be ignored w
24、hen a test resultis defined as an average of several individual measurements.Then, this practice may be applicable, but caution is requiredand a statistician should be consulted.1.5 The information in this practice is arranged as follows:SectionScope 1Referenced Documents 2Terminology 3Summary of Pr
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