Mann-Kendall Test - A Novel Approach for Statistical Trend Analysis
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2018 by IJCTT Journal | ||
| Volume-63 Number-1 |
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| Year of Publication : 2018 | ||
| Authors : Neel Kamal, Dr.Sanjay Pachauri | ||
| DOI : 10.14445/22312803/IJCTT-V63P104 |
MLA Style: Neel Kamal, Dr.Sanjay Pachauri "Mann-Kendall Test - A Novel Approach for Statistical Trend Analysis" International Journal of Computer Trends and Technology 63.1 (2018): 18-21.
APA Style:Neel Kamal, Dr.Sanjay Pachauri (2018).Mann-Kendall Test - A Novel Approach for Statistical Trend Analysis. International Journal of Computer Trends and Technology, 63(1), 18-21.
Abstract
Trend Analysis is aimed at projecting both current and future movement of observations through the use of time series data analysis which involves comparison of data over a sequential period of time to spot a pattern or trend. Mann-Kendell test is one of the most popular non-parametric trend test based on ranking of observations. The current paper describes Mann Kendall Test in the context of time series data analysis. It also presents a case study to demonstrate the implementation and advantage of using Mann Kendall Test over other trend analysis techniques
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Keywords
Neel Kamal, Dr.Sanjay Pachauri