Title :
A new sampling test method for maximum maintenance time of normal distribution items
Author :
Bo, Peng ; Hai, Lu ; Xing, Jin
Author_Institution :
Acad. of Equip., Command & Technol., Beijing, China
Abstract :
The traditional sampling test method is fit for cases that the number of sample is greater than thirty. A sample statistics is proposed for the sampling test of maximum maintenance time, which the maintenance time is normally distributed. Based on the non-central t-distribution, the distribution function of the sample statistics is deduced. And a sampling test method of maximum maintenance time is presented, which the number of sample is allowed less than thirty. The problem of the sampling test of maximum maintenance time is resolved by the method, which the maintenance time is normally distributed.
Keywords :
normal distribution; sampling methods; statistical testing; distribution function; maximum maintenance time; noncentral t-distribution; normal distribution; sample statistics; sampling test; Distribution functions; Gaussian distribution; Knowledge engineering; Pressing; Probability; Random variables; Sampling methods; Statistical analysis; Statistical distributions; Testing; Maintenance Time; Normal Distribution; Sampling Test;
Conference_Titel :
Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5266-8
Electronic_ISBN :
978-1-4244-5268-2
DOI :
10.1109/CAIDCD.2009.5375165
