You have to follow the steps as given below before developing a numerical model from a given set of data :
Outlier Detection
-Chauvenet
-Dixon Thompson
-Rosner's Method
Trend Detection
-Runs Test
Correlation Determination
-Auto and Cross-Correlation
Risk and Uncertainty
-What is Risk and Vulnerability?
-Weibull’s Method
Among the methods of data analysis,outlier detection is a method where abnormality/extremity within a data set is detected and removed such that a regular trend can be easily detected from the collected data set. The regular trend helps to map the goal of research with its outcome. Watch the tutorial and give feedback in the comments. How to detect outliers from a big set of data ? from Mrinmoy Majumder You can find many more similar tutorials in http://www.baipatra.ws Signing off : Founding and Honorary Editor Innovate for Sustainability
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