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Title: Maximum Likelihood
Url: http://www.math.uah.edu/stat/point/Likelihood.html
Creator: Siegrist, Kyle
Publisher: University of Alabama -- Huntsville
 Description: This material introduces the basic theory of maximum likelihood estimation by discussing the likelihood function, the log likelihood function, and maximizing these functions using calculus. Several exercises ask students to derive certain estimators, while others have students compare the behavior of those estimators with other possibilities through the use of various JAVA applets. The applets use the same control features: the sliders set the parameter values, the Stop # drop down menu sets the number of samples taken, the Update # drop down menu sets how often the graph and tables update during the experiment, the single arrow takes one sample, the double arrow runs the full experiment, the square stops the experiment, and the back arrow resets the applet. This page is one lesson from the Virtual Laboratories in Statistics.
LC Classification: Science -- Mathematics -- Analysis -- Calculus
Science -- Mathematics -- Analysis -- Functional analysis
Science -- Mathematics -- Mathematical statistics -- Estimation theory
Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research
Science -- Mathematics -- Probabilities -- Study and teaching. Research
GEM Subject: Mathematics -- Calculus
Mathematics -- Statistics
Mathematics -- Probability
Key Concept: Mathematics -- Probability
Mathematics -- Statistics
Mathematics -- Calculus
Date Issued: 1997
Resource Type: InteractiveResource (DCMI Type Vocabulary)
Mathematics Materials
Reference
Format: html
java
Audience: College/University Instructors
Students
Teachers
Technical School First Cycle
Technical School Second Cycle
University First Cycle
University Second Cycle
Vocational Training
Language: English
Rights: Kyle Siegrist
Access Rights: Free access
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Source: CAUSEweb
Full Record Views: 10
Resource URL Clicks: 1
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