By Kardi Teknomo, PhD .

Share this: Google+

This tutorial introduces you with efficient methods to compute simple statistics such as time average and time variance of any measurement data using recursive formula. Other useful method to revive back your original data from the statistics and correcting mean and variance in efficient way are also explained.

Click the topics below:


Usual Computation of Average and Variance
Why do we need recursive formula?
Recursive Average ( proof )
Characteristics of Recursive Average
Recursive Variance ( proof )
Data Revival from the Statistics ( proof )
Correction of Measurement ( proof mean formula , proof variance formula )
Rate this tutorial & send your feedback

See Also :
Mean and Average , Machine Learning tutorial , Difference Equation , Q-learning

Share and save this tutorial
Add to: Del.icio.us Add to: Digg Add to: StumbleUpon Add to: Reddit Add to: Slashdot Add to: Technorati Add to: Netscape Add to: Newsvine Add to: Mr. Wong Add to: Webnews Add to: Folkd Add to: Yigg Add to: Linkarena Add to: Simpy Add to: Furl Add to: Yahoo Add to: Google Add to: Blinklist Add to: Blogmarks Add to: Diigo Add to: Blinkbits Add to: Ma.Gnolia Information

These tutorial is copyrighted .

Preferable reference for this tutorial is

Teknomo, Kardi. (2006) Recursive Average and Variance.
http://people.revoledu.com/kardi/tutorial/RecursiveStatistic/index.html