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Schaum's Probability, Random Variables, and Random Processes Supplementary Problem 5.95 /

This video illustrates how to compute the steady-state probabilities for a Markov chain given its transition probability matrix.

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Rader, David
Formato:	Electrónico Video
Idioma:	Inglés
Publicado:	New York, N.Y. : McGraw-Hill Education LLC., c2020.
Colección:	McGraw-Hill's AccessEngineering.
Temas:	Probabilities > Problems, exercises, etc. Stochastic processes > Problems, exercises, etc. Probabilities > Outlines, syllabi, etc. Internet videos.
Acceso en línea:	Texto completo

Descripción
Sumario:	This video illustrates how to compute the steady-state probabilities for a Markov chain given its transition probability matrix.
Notas:	Title from title frames.
Descripción Física:	1 online resource (1 video file, approximately 3 min. 18 sec.): digital, .flv file, sound
ISBN:	9781260453812