文章基本信息

标题：Necessity of Goodness of Fit Tests in Research and Development
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作者：Sanjeev Kumar Jha ; Dr. A.K.D.Dwivedi ; Dr. Amod Tiwari 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：3(Version 1)
出版社：Ayushmaan Technologies
摘要：There are various life data distributions which can be used for reliability and other statistical analysis. The main problem in these types of analysis is identification of distributions to be fitted for collected data. Thus it is essential to identify appropriate distribution to be fitted for given data. Goodness of fit Test is a technique which is used for identification of appropriate distribution to be fitted for given data. In this paper Goodness of fit Test is discussed in detail. Initially theoretical background of this test is explained and then entire test is applied on live data collected from online bug repositories for Linux kernel 2.6 series. As there are different sub versions of Linux Kernel, thus these records are further grouped on the basis of sub versions and different samples are constructed. On each of these samples all three important methods for goodness of fit test Kolmogorov-Smirnov, Anderson-Darling and Chi-squared Tests are used and result is analyzed. On the basis of these results necessity of goodness of fit test is explained.qu
关键词：Goodness of Test; Open Source; Reliability; Linux Kernel;Distribution.