Tiêu chuẩn quốc tế

Số hiệu

Standard Number

ASTM D7915-18
Năm ban hành 2018

Publication date

Tình trạng A - Còn hiệu lực

Status

Tên tiếng Anh

Title in English

Standard Practice for Application of Generalized Extreme Studentized Deviate (GESD) Technique to Simultaneously Identify Multiple Outliers in a Data Set
Chỉ số phân loại Quốc tế (ICS)

By field

03.120 - Chất lượng
03.120.30 - Áp dụng các phương pháp thống kê
Số trang

Page

6
Giá:

Price

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Phạm vi áp dụng

Scope of standard

1.1 This practice provides a step by step procedure for the application of the Generalized Extreme Studentized Deviate (GESD) Many-Outlier Procedure to simultaneously identify multiple outliers in a data set. (See Bibliography.) 1.2 This practice is applicable to a data set comprising observations that is represented on a continuous numerical scale. 1.3 This practice is applicable to a data set comprising a minimum of six observations. 1.4 This practice is applicable to a data set where the normal (Gaussian) model is reasonably adequate for the distributional representation of the observations in the data set. 1.5 The probability of false identification of outliers associated with the decision criteria set by this practice is 0.01. 1.6 It is recommended that the execution of this practice be conducted under the guidance of personnel familiar with the statistical principles and assumptions associated with the GESD technique. 1.7 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use. 1.8 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.