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_a658.40355 _223 |
| 049 | _aMAIN | ||
| 100 | 1 |
_aNikolopoulos, Konstantinos I., _d1974- _eauthor. _1https://id.oclc.org/worldcat/entity/E39PCjG83Hr6Bdm74tPxJgpXVC |
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| 245 | 1 | 0 |
_aForecasting with the Theta method : _btheory and applications / _cKostas I. Nikolopoulos, Dimitrios D. Thomakos. |
| 264 | 1 |
_aHoboken, NJ, USA : _bWiley, _c2019. |
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| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index. | ||
| 588 | _aOnline resource; title from PDF title page (EBSCO, viewed January 11, 2019). | ||
| 520 | _aThe first book to be published on the Theta method, outlining under what conditions the method outperforms other forecasting methods This book is the first to detail the Theta method of forecasting - one of the most difficult-to-beat forecasting benchmarks, which topped the biggest forecasting competition in the world in 2000: the M3 competition. Written by two of the leading experts in the forecasting field, it illuminates the exact replication of the method and under what conditions the method outperforms other forecasting methods. Recent developments such as multivariate models are also included, as are a series of practical applications in finance, economics, and healthcare. The book also offers practical tools in MS Excel and guidance, as well as provisional access, for the use of R source code and respective packages. Forecasting with the Theta Method: Theory and Applications includes three main parts. The first part, titled Theory, Methods, Models & Applications details the new theory about the method. The second part, Applications & Performance in Forecasting Competitions, describes empirical results and simulations on the method. The last part roadmaps future research and also include contributions from another leading scholar of the method - Dr. Fotios Petropoulos. First ever book to be published on the Theta Method Explores new theory and exact conditions under which methods would outperform most forecasting benchmarks Clearly written with practical applications Employs R - open source code with all included implementations Forecasting with the Theta Method: Theory and Applications is a valuable tool for both academics and practitioners involved in forecasting and respective software development. | ||
| 590 |
_aJohn Wiley and Sons _bWiley Online Library: Complete oBooks |
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| 650 | 0 | _aBusiness forecasting. | |
| 650 | 6 | _aPr�evision commerciale. | |
| 650 | 7 |
_aBUSINESS & ECONOMICS _xIndustrial Management. _2bisacsh |
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| 650 | 7 |
_aBUSINESS & ECONOMICS _xManagement. _2bisacsh |
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| 650 | 7 |
_aBUSINESS & ECONOMICS _xManagement Science. _2bisacsh |
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| 650 | 7 |
_aBUSINESS & ECONOMICS _xOrganizational Behavior. _2bisacsh |
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| 650 | 7 |
_aBusiness forecasting _2fast |
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| 700 | 1 |
_aThomakos, Dimitrios D., _eauthor. |
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| 758 |
_ihas work: _aForecasting with the Theta method (Text) _1https://id.oclc.org/worldcat/entity/E39PCFtRjC6g7GT8JwV7xVQVfm _4https://id.oclc.org/worldcat/ontology/hasWork |
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| 776 | 0 | 8 |
_iPrint version: _aNikolopoulos, Konstantinos I., 1974- _tForecasting with the Theta method. _dHoboken, NJ, USA : Wiley, 2019 _z1119320763 _z9781119320760 _w(OCoLC)1031462754 |
| 856 | 4 | 0 | _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119320784 |
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