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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

Screenshot

Full Image

Source:

CAUSEweb

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