Open AccessAnalyzing the Solar Energy Data Using a New Anderson-Darling Test under Indeterminacy
Author(s) -
Muhammad Aslam,
Ali Algarni
Publication year - 2020
Publication title -
international journal of photoenergy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.426
H-Index - 51
eISSN - 1687-529X
pISSN - 1110-662X
DOI - 10.1155/2020/6662389
Subject(s) - indeterminacy (philosophy) , anderson–darling test , generalization , renewable energy , computer science , test (biology) , field (mathematics) , test data , data mining , statistics , mathematics , statistical hypothesis testing , test statistic , electrical engineering , engineering , physics , mathematical analysis , paleontology , quantum mechanics , pure mathematics , programming language , biology
The generalization of the Anderson-Darling (AD) test under neutrosophic statistics is presented in this paper. We present the designing and operating procedure of neutrosophic Anderson-Darling when the quality of interest follows the neutrosophic normal distribution. The application of the proposed test is given using data from the renewable energy field. From the analysis of the data, it is concluded that the proposed test is effective and information to be applied when the data is recorded from the complex system in the renewable energy field.