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180706s2013 fluab ob 001 0 eng d |
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20220613175931.4 |
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|a 9780429168123
|q (e-book : PDF)
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|a 10.1201/b15257
|2 doi
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|a (OCoLC)958549971
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|a 519.2/3
|2 23
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100 |
1 |
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|a Liao, Ming,
|e author.
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245 |
1 |
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|a Applied stochastic processes /
|c by Ming Liao.
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250 |
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|a First edition.
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264 |
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1 |
|a Boca Raton, FL :
|b Chapman and Hall/CRC, an imprint of Taylor and Francis,
|c 2013.
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300 |
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|a 1 online resource (208 pages) :
|b 6 illustrations
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336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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505 |
0 |
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|a chapter 1 Probability and stochastic processes -- chapter 2 Poisson processes -- chapter 3 Renewal processes -- chapter 4 Discrete time Markov chains -- chapter 5 Continuous time Markov chain -- chapter 6 Brownian motion and beyond.
|
520 |
3 |
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|a Applied Stochastic Processes presents a concise, graduate-level treatment of the subject, emphasizing applications and practical computation. It also establishes the complete mathematical theory in an accessible way.
|
650 |
|
0 |
|a Stochastic processes.
|
650 |
|
7 |
|a MATHEMATICS / Applied.
|2 bisacsh
|
650 |
|
7 |
|a MATHEMATICS / Probability & Statistics / Bayesian Analysis.
|2 bisacsh
|
650 |
|
7 |
|a MATHEMATICS / Probability & Statistics / General.
|2 bisacsh
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655 |
|
7 |
|a Electronic books.
|2 local
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710 |
1 |
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|a Taylor & Francis.
|
710 |
2 |
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|a Taylor and Francis.
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730 |
0 |
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|a MATHnetBASE.
|
776 |
0 |
8 |
|i Print version:
|z 9781466589339
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856 |
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|u http://proxy.library.tamu.edu/login?url=https://www.taylorfrancis.com/books/9781466589346
|z Connect to the full text of this electronic book
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952 |
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|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
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|e QA274
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998 |
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