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Title: Markov Chains
Url: http://www.randomservices.org/random/
Creator: Siegrist, Kyle
Publisher: University of Alabama -- Huntsville
Description: Created by Kyle Siegrist of the University of Alabama-Huntsville, this is an online, interactive lesson on Markov chains. The author provides examples, exercises, and applets to introduce the subject. More specifically, the lesson covers: recurrence, transience, periodicity, time reversal, as well as invariant and limiting distributions. In addition, the author has provided links to external resources for further research. Overall, this is a great resource for those interested in this statistical process. It provides basic examples to introduce the topic, but also provides a more in-depth study to further challenge students.
LC Classification: Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research
Science -- Mathematics -- Probabilities -- Stochastic processes -- Markov processes. Markov chains
Science -- Mathematics -- Probabilities -- Study and teaching. Research
GEM Subject: Mathematics -- Statistics
Mathematics -- Probability
Key Concept: Mathematics -- Probability
Mathematics -- Statistics
Date Issued: 2008
Resource Type: Reference Material
Instructional Material
Instructional Material -- Student Guide
Instructional Material -- Lesson/Lesson Plan
Instructional Material -- Instructor Guide/Manual
Format: Document -- HTML
Application -- Java
Audience: Educator
Learner
Education Level: High School
Higher Education
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education
Language: English
Rights: Kyle Siegrist
Access Rights: Free access
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Source: CAUSEweb
Full Record Views: 7
Resource URL Clicks: 9
Cumulative Rating: NOT YET RATED
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