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ocn815670662 |
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OCoLC |
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20241006213017.0 |
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m o d |
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121018s2012 xx o 000 0 eng d |
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|a MHW
|b eng
|e pn
|c MHW
|d EBLCP
|d OCLCQ
|d DEBSZ
|d OCLCQ
|d MERUC
|d ZCU
|d U3W
|d OCLCO
|d OCLCF
|d COCUF
|d ICG
|d INT
|d OCLCQ
|d UMR
|d DKC
|d HKP
|d YDXCP
|d BENTH
|d AU@
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCO
|d OCLCL
|d OCLCQ
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| 019 |
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|a 809512112
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|a 9781608053735
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| 020 |
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|a 1608053733
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|a (OCoLC)815670662
|z (OCoLC)809512112
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4 |
|a HF5500.A1 .H384 2012
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Aladag, Cagdas Hakan.
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| 245 |
1 |
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|a Advances in Time Series Forecasting.
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| 260 |
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|a Sharjah :
|b Bentham Science Publishers,
|c 2012.
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| 300 |
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|a 1 online resource (143 pages)
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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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| 588 |
0 |
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|a Print version record.
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| 520 |
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|a Readers will learn how these methods work and how these approaches can be used to forecast real life time series. The hybrid forecasting model is also explained. Data presented in this e-book is problem based and is taken from real life situations. It is a valuable resource for students, statisticians and working professionals interested in advanced time series analysis.
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| 505 |
0 |
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|a pt. 1. Time series forecasting using ANN -- pt. 2. Fuzzy time series -- pt. 3. Hybrid methods.
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| 650 |
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|a Time-series analysis.
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| 650 |
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7 |
|a Time-series analysis
|2 fast
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| 700 |
1 |
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|a Erol, Egrioglu.
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| 758 |
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|i has work:
|a Advances in Time Series Forecasting (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCG4gtmb9JQpRhgWYY4pH83
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|z 9781608055227
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| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=1041544
|y Click for online access
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| 903 |
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|a EBC-AC
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| 994 |
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|a 92
|b HCD
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