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Markov chains = from theory to imple...

Gagniuc, Paul A.

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Markov chains = from theory to implementation and experimentation /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Markov chains/ Paul A. Gagniuc.
其他題名:	from theory to implementation and experimentation /
作者:	Gagniuc, Paul A.
出版者:	Hoboken, NJ :John Wiley & Sons, : 2017.,
面頁冊數:	1 online resource.
內容註:	From observation to simulation -- Building the stochastic matrix -- Predictions by using 2-state Markov chains -- Predictions by using N-state Markov chains -- Absorbing Markov chains -- The average time spent in each state -- Discussions on different configurations of chains -- The simulation of an N-state Markov chain.
標題:	Markov processes. -
電子資源:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119387596
ISBN:	9781119387596

Markov chains = from theory to implementation and experimentation /
Gagniuc, Paul A.

Markov chainsfrom theory to implementation and experimentation /[electronic resource] :Paul A. Gagniuc. - 1st ed. - Hoboken, NJ :John Wiley & Sons,2017. - 1 online resource.

Includes bibliographical references and index.

From observation to simulation -- Building the stochastic matrix -- Predictions by using 2-state Markov chains -- Predictions by using N-state Markov chains -- Absorbing Markov chains -- The average time spent in each state -- Discussions on different configurations of chains -- The simulation of an N-state Markov chain.

ISBN: 9781119387596

LCCN: 2017018061Subjects--Topical Terms:

532104
Markov processes.

LC Class. No.: QA274.7 / .G34 2017

Dewey Class. No.: 519.2/33

Markov chains = from theory to implementation and experimentation /
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050 1 0 $a QA274.7 $b .G34 2017
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100 1 $a Gagniuc, Paul A. $3 3319175
245 1 0 $a Markov chains $h [electronic resource] : $b from theory to implementation and experimentation / $c Paul A. Gagniuc.
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c 2017.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
505 0 $a From observation to simulation -- Building the stochastic matrix -- Predictions by using 2-state Markov chains -- Predictions by using N-state Markov chains -- Absorbing Markov chains -- The average time spent in each state -- Discussions on different configurations of chains -- The simulation of an N-state Markov chain.
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650 0 $a Markov processes. $3 532104
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119387596