Method-of-Moments

Method-of-Moments (MOM) (Goodness-of-Fit) (GWU EMSE-271)
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In session 3, slides 85-89 discuss Method-of-Moments. (EMSE 280, Spring 2009)

"In [|statistics], the **method of moments** is a method of [|estimation] of population parameters such as mean, variance, median, etc. (which need not be moments), by equating sample [|moments] with unobservable population moments and then solving those equations for the quantities to be estimated." - [|Wikipedia]

Phil's memory is that Maximum Likelihood is preferred now that there are computational approaches to make it easier. ( Check )

What are the learning points we should get out these slides? That one assumes a distribution and then checks to see if it is an appropriate one to use. One reason for Exploratory Data Analysis (EDA) is to get an idea in order to do this.

- EMSE 271, Fall 2009 (Slide 95)


 * Sources:**
 * EMSE 271, Fall 2009 (Slides 85-89 and 95)
 * EMSE 280, Spring 2009
 * Method of moments (statistics). (2009, May 6). In //Wikipedia, The Free Encyclopedia//. Retrieved 12:45, May 8, 2009, from []