The normal distribution is one of the most important distributions in statistics. We next explore characteristics of this distribution.
kindly wish to understand the process of setting the real statistic park for all regression scalculations
Sorry, but I don’t understand your question.
Dear Dr. Charles,
Thank you for your helpful website. it is another school.
I have posted below message to your attention.
could you advise me how I can linearize, normalize and homogeneize my data without alterating them?
I am currently developing a model based on Neural Networks.
Performance analyzes were successfully done but doing graphical residual analysis, I observed the trend to be a bit linear as shown below. while performing residual analysis, I noticed that Percentile Vs residual isnot linear, even Residual Vs predicted is lineary and not randomly distributed.
I tried a lot of method of data transformation method but I did not succeed. When I transform other data set, it works. It is just my dataset which is kind difficult for me. Can someone show me how to transform my data to achieve linearity? Below are my data:
Date Observed Predicted
15-Feb-15 1176.491943 1176.492483
19-Feb-15 1176.48291 1176.483679
20-Feb-15 1176.46582 1176.467308
25-Feb-15 1176.463379 1176.46493
2-Mar-15 1176.452515 1176.454374
7-Mar-15 1176.450439 1176.452346
12-Mar-15 1176.44165 1176.443764
17-Mar-15 1176.435913 1176.437807
22-Mar-15 1176.432251 1176.43359
27-Mar-15 1176.429688 1176.430538
1-Apr-15 1176.428101 1176.428278
6-Apr-15 1176.427002 1176.426561
11-Apr-15 1176.426147 1176.425223
16-Apr-15 1176.425659 1176.424153
21-Apr-15 1176.425293 1176.423277
26-Apr-15 1176.425049 1176.422545
1-May-15 1176.424805 1176.421921
6-May-15 1176.424805 1176.421381
11-May-15 1176.424805 1176.420909
16-May-15 1176.424805 1176.420491
21-May-15 1176.424805 1176.420119
26-May-15 1176.424805 1176.419786
31-May-15 1176.424805 1176.419486
1-Jun-15 1176.424805 1176.419216
When I created a chart of the observed data vs the predicted data it was (probably not surprisingly) almost a perfect straight line (except for the first few data elements which were slightly off). What more linearity do you need?
It is very useful for us
Your email address will not be published. Required fields are marked *
RSS - Posts
RSS - Comments