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|a 6166714181001
|b McGraw-Hill Education LLC
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|a IN-ChSCO
|b eng
|e rda
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|a eng
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|k 2020
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|a QA273.25
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|a 519.2/076
|2 23
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|a Rader, David,
|u Professor of Mathematics, Rose-Hulman Institute of Technology.
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|a Schaum's Probability, Random Variables, and Random Processes Supplementary Problem 5.95 /
|c David Rader.
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|a New York, N.Y. :
|b McGraw-Hill Education LLC.,
|c c2020.
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|a 1 online resource (1 video file, approximately 3 min. 18 sec.):
|b digital, .flv file, sound
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|3 internet archive
|a online resource
|b cr
|2 rdacarrier
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|a digital
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|a video file
|b MPEG-4
|b Flash
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|a McGraw-Hill's AccessEngineering
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|a Title from title frames.
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|a Originally produced by David Rader in 2020.
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|a This video illustrates how to compute the steady-state probabilities for a Markov chain given its transition probability matrix.
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|a System requirements: Adobe Flash Player.
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|a Mode of access: World Wide Web.
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|a In English.
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|a Description based on online resource; title from title screen (Internet Archive, viewed August 26, 2020)
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|a Probabilities
|x Problems, exercises, etc.
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|a Stochastic processes
|x Problems, exercises, etc.
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|a Probabilities
|x Outlines, syllabi, etc.
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|a Internet videos.
|2 lcgft
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|a McGraw-Hill Education LLC.
|e publisher.
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|t Schaum's Outline of Probability, Random Variables, and Random Processes
|b Fourth Edition
|d New York, N.Y. : McGraw-Hill Education, 2020
|z 9781260453812
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830 |
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|a McGraw-Hill's AccessEngineering.
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|u https://accessengineeringlibrary.uam.elogim.com/content/video/V6166714181001
|z Texto completo
|