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You searched for subject:(Time series forecasting). Showing records 1 – 30 of 289 total matches.

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McMaster University

1. Barrows, Dexter. A Comparative Study of Techniques for Estimation and Inference of Nonlinear Stochastic Time Series.

Degree: MSc, 2016, McMaster University

Forecasting tools play an important role in public response to epidemics. Despite this, limited work has been done in comparing best-in-class techniques across the broad… (more)

Subjects/Keywords: Forecasting; Time series; Estimation; Fitting

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Barrows, D. (2016). A Comparative Study of Techniques for Estimation and Inference of Nonlinear Stochastic Time Series. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/19103

Chicago Manual of Style (16th Edition):

Barrows, Dexter. “A Comparative Study of Techniques for Estimation and Inference of Nonlinear Stochastic Time Series.” 2016. Masters Thesis, McMaster University. Accessed May 26, 2019. http://hdl.handle.net/11375/19103.

MLA Handbook (7th Edition):

Barrows, Dexter. “A Comparative Study of Techniques for Estimation and Inference of Nonlinear Stochastic Time Series.” 2016. Web. 26 May 2019.

Vancouver:

Barrows D. A Comparative Study of Techniques for Estimation and Inference of Nonlinear Stochastic Time Series. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2019 May 26]. Available from: http://hdl.handle.net/11375/19103.

Council of Science Editors:

Barrows D. A Comparative Study of Techniques for Estimation and Inference of Nonlinear Stochastic Time Series. [Masters Thesis]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/19103

2. Shnyrev, Denis. Modeling long-term price development by using time-series auto-regression and expert judgments .

Degree: 2009, Theseus

 The objective of the thesis was to create a long term forecast for pine roundwood timber assortment’s price in Finland for the years 2010 until… (more)

Subjects/Keywords: prices; time-series analysis; forecasting; timber

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APA (6th Edition):

Shnyrev, D. (2009). Modeling long-term price development by using time-series auto-regression and expert judgments . (Thesis). Theseus. Retrieved from http://www.theseus.fi/handle/10024/17275

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shnyrev, Denis. “Modeling long-term price development by using time-series auto-regression and expert judgments .” 2009. Thesis, Theseus. Accessed May 26, 2019. http://www.theseus.fi/handle/10024/17275.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shnyrev, Denis. “Modeling long-term price development by using time-series auto-regression and expert judgments .” 2009. Web. 26 May 2019.

Vancouver:

Shnyrev D. Modeling long-term price development by using time-series auto-regression and expert judgments . [Internet] [Thesis]. Theseus; 2009. [cited 2019 May 26]. Available from: http://www.theseus.fi/handle/10024/17275.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shnyrev D. Modeling long-term price development by using time-series auto-regression and expert judgments . [Thesis]. Theseus; 2009. Available from: http://www.theseus.fi/handle/10024/17275

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Oxford

3. Lau, Ada. Probabilistic wind power forecasts : from aggregated approach to spatiotemporal models.

Degree: PhD, 2011, University of Oxford

 Wind power is one of the most promising renewable energy resources to replace conventional generation which carries high carbon footprints. Due to the abundance of… (more)

Subjects/Keywords: 519.5; Statistics (social sciences); Time series forecasting

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APA (6th Edition):

Lau, A. (2011). Probabilistic wind power forecasts : from aggregated approach to spatiotemporal models. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:f5a66568-baac-4f11-ab1e-dc79061cfb0f ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664804

Chicago Manual of Style (16th Edition):

Lau, Ada. “Probabilistic wind power forecasts : from aggregated approach to spatiotemporal models.” 2011. Doctoral Dissertation, University of Oxford. Accessed May 26, 2019. http://ora.ox.ac.uk/objects/uuid:f5a66568-baac-4f11-ab1e-dc79061cfb0f ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664804.

MLA Handbook (7th Edition):

Lau, Ada. “Probabilistic wind power forecasts : from aggregated approach to spatiotemporal models.” 2011. Web. 26 May 2019.

Vancouver:

Lau A. Probabilistic wind power forecasts : from aggregated approach to spatiotemporal models. [Internet] [Doctoral dissertation]. University of Oxford; 2011. [cited 2019 May 26]. Available from: http://ora.ox.ac.uk/objects/uuid:f5a66568-baac-4f11-ab1e-dc79061cfb0f ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664804.

Council of Science Editors:

Lau A. Probabilistic wind power forecasts : from aggregated approach to spatiotemporal models. [Doctoral Dissertation]. University of Oxford; 2011. Available from: http://ora.ox.ac.uk/objects/uuid:f5a66568-baac-4f11-ab1e-dc79061cfb0f ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664804


University of Georgia

4. Patterson, Courtney. A statistical analysis of crime in San Luis Obispo (2009-2017).

Degree: MS, Statistics, 2018, University of Georgia

 In this thesis, police reports from the city of San Luis Obispo, California (2009-2017) are explored and analyzed in order to identify various trends and… (more)

Subjects/Keywords: ARIMA Models; Crime Data; Forecasting; Time Series

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APA (6th Edition):

Patterson, C. (2018). A statistical analysis of crime in San Luis Obispo (2009-2017). (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/38497

Chicago Manual of Style (16th Edition):

Patterson, Courtney. “A statistical analysis of crime in San Luis Obispo (2009-2017).” 2018. Masters Thesis, University of Georgia. Accessed May 26, 2019. http://hdl.handle.net/10724/38497.

MLA Handbook (7th Edition):

Patterson, Courtney. “A statistical analysis of crime in San Luis Obispo (2009-2017).” 2018. Web. 26 May 2019.

Vancouver:

Patterson C. A statistical analysis of crime in San Luis Obispo (2009-2017). [Internet] [Masters thesis]. University of Georgia; 2018. [cited 2019 May 26]. Available from: http://hdl.handle.net/10724/38497.

Council of Science Editors:

Patterson C. A statistical analysis of crime in San Luis Obispo (2009-2017). [Masters Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/38497

5. SESKAUSKIS, ZYGIMANTAS. Sales forecasting management.

Degree: Engineering and Business, 2016, University of Borås

  The purpose of this research is to investigate current company business process from sales forecasting perspective and provide potential improvements of how to deal… (more)

Subjects/Keywords: Sales forecasting; accuracy measurement; new product forecasting; time series; qualitative approach

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APA (6th Edition):

SESKAUSKIS, Z. (2016). Sales forecasting management. (Thesis). University of Borås. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-10685

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SESKAUSKIS, ZYGIMANTAS. “Sales forecasting management.” 2016. Thesis, University of Borås. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-10685.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SESKAUSKIS, ZYGIMANTAS. “Sales forecasting management.” 2016. Web. 26 May 2019.

Vancouver:

SESKAUSKIS Z. Sales forecasting management. [Internet] [Thesis]. University of Borås; 2016. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-10685.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SESKAUSKIS Z. Sales forecasting management. [Thesis]. University of Borås; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-10685

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

6. Horowitz, Salomon. Demand Forecasting - Web Decision Support System.

Degree: 2010, University of Florida

 Considering the volatile and competitive economy that we live in, companies find themselves in crucial necessity of forecasting future sales. To survive, companies must minimize… (more)

Subjects/Keywords: Analytical forecasting; Decision support systems; Forecasting techniques; Inventories; Sales forecasting; Seasons; Statistical forecasts; Time series; Time series forecasting; Websites; Business forecasting; Economic forecasting; Systems engineering

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APA (6th Edition):

Horowitz, S. (2010). Demand Forecasting - Web Decision Support System. (Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/AA00059995

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Horowitz, Salomon. “Demand Forecasting - Web Decision Support System.” 2010. Thesis, University of Florida. Accessed May 26, 2019. http://ufdc.ufl.edu/AA00059995.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Horowitz, Salomon. “Demand Forecasting - Web Decision Support System.” 2010. Web. 26 May 2019.

Vancouver:

Horowitz S. Demand Forecasting - Web Decision Support System. [Internet] [Thesis]. University of Florida; 2010. [cited 2019 May 26]. Available from: http://ufdc.ufl.edu/AA00059995.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Horowitz S. Demand Forecasting - Web Decision Support System. [Thesis]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/AA00059995

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

7. Sorokina, Ekaterina Igorevna. Making Future More Feasible for Independently Owned Hotels Application of Time Series Models for Hotel Sales Forecasts as Means to Gain a Competitive Advantage.

Degree: MS, Recreation, Parks, and Tourism - Tourism, Recreation, and Sport Management, 2013, University of Florida

 The high number of closures within independently owned hotel sector has reached around 80% of all hotel closures in the US market in 2013. The lack… (more)

Subjects/Keywords: Analytical forecasting; Data smoothing; Datasets; Economic models; Forecasting models; Forecasting techniques; Hotels; Sales forecasting; Time series forecasting; Time series models; forecasting  – hotels  – modelling  – pricing

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APA (6th Edition):

Sorokina, E. I. (2013). Making Future More Feasible for Independently Owned Hotels Application of Time Series Models for Hotel Sales Forecasts as Means to Gain a Competitive Advantage. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045737

Chicago Manual of Style (16th Edition):

Sorokina, Ekaterina Igorevna. “Making Future More Feasible for Independently Owned Hotels Application of Time Series Models for Hotel Sales Forecasts as Means to Gain a Competitive Advantage.” 2013. Masters Thesis, University of Florida. Accessed May 26, 2019. http://ufdc.ufl.edu/UFE0045737.

MLA Handbook (7th Edition):

Sorokina, Ekaterina Igorevna. “Making Future More Feasible for Independently Owned Hotels Application of Time Series Models for Hotel Sales Forecasts as Means to Gain a Competitive Advantage.” 2013. Web. 26 May 2019.

Vancouver:

Sorokina EI. Making Future More Feasible for Independently Owned Hotels Application of Time Series Models for Hotel Sales Forecasts as Means to Gain a Competitive Advantage. [Internet] [Masters thesis]. University of Florida; 2013. [cited 2019 May 26]. Available from: http://ufdc.ufl.edu/UFE0045737.

Council of Science Editors:

Sorokina EI. Making Future More Feasible for Independently Owned Hotels Application of Time Series Models for Hotel Sales Forecasts as Means to Gain a Competitive Advantage. [Masters Thesis]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045737


Louisiana State University

8. Firth, Robert James. A Novel Recurrent Convolutional Neural Network for Ocean and Weather Forecasting.

Degree: PhD, Computer Sciences, 2016, Louisiana State University

 Numerical weather prediction is a computationally expensive task that requires not only the numerical solution to a complex set of non-linear partial differential equations, but… (more)

Subjects/Keywords: time series; spatial; temporal; time step network; convolutional; recurrent; neural network; weather forecasting; ocean forecasting

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APA (6th Edition):

Firth, R. J. (2016). A Novel Recurrent Convolutional Neural Network for Ocean and Weather Forecasting. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-04112016-151259 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2099

Chicago Manual of Style (16th Edition):

Firth, Robert James. “A Novel Recurrent Convolutional Neural Network for Ocean and Weather Forecasting.” 2016. Doctoral Dissertation, Louisiana State University. Accessed May 26, 2019. etd-04112016-151259 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2099.

MLA Handbook (7th Edition):

Firth, Robert James. “A Novel Recurrent Convolutional Neural Network for Ocean and Weather Forecasting.” 2016. Web. 26 May 2019.

Vancouver:

Firth RJ. A Novel Recurrent Convolutional Neural Network for Ocean and Weather Forecasting. [Internet] [Doctoral dissertation]. Louisiana State University; 2016. [cited 2019 May 26]. Available from: etd-04112016-151259 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2099.

Council of Science Editors:

Firth RJ. A Novel Recurrent Convolutional Neural Network for Ocean and Weather Forecasting. [Doctoral Dissertation]. Louisiana State University; 2016. Available from: etd-04112016-151259 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2099


University of Florida

9. Singh, Anil. Short-Term Electricity Price Forecasting Models a Review and Evaluation.

Degree: MS, Industrial and Systems Engineering, 2015, University of Florida

 Electricity price forecasting models are integral to the deregulated electricity markets present today. Over the past 18 years a variety of methods have been postulated… (more)

Subjects/Keywords: Election forecasting; Electricity; Forecasting models; Forecasting techniques; Market prices; Neural networks; Prices; Statistical models; Time series forecasting; Time series models; electricity  – forecasting  – price

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APA (6th Edition):

Singh, A. (2015). Short-Term Electricity Price Forecasting Models a Review and Evaluation. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0049385

Chicago Manual of Style (16th Edition):

Singh, Anil. “Short-Term Electricity Price Forecasting Models a Review and Evaluation.” 2015. Masters Thesis, University of Florida. Accessed May 26, 2019. http://ufdc.ufl.edu/UFE0049385.

MLA Handbook (7th Edition):

Singh, Anil. “Short-Term Electricity Price Forecasting Models a Review and Evaluation.” 2015. Web. 26 May 2019.

Vancouver:

Singh A. Short-Term Electricity Price Forecasting Models a Review and Evaluation. [Internet] [Masters thesis]. University of Florida; 2015. [cited 2019 May 26]. Available from: http://ufdc.ufl.edu/UFE0049385.

Council of Science Editors:

Singh A. Short-Term Electricity Price Forecasting Models a Review and Evaluation. [Masters Thesis]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0049385


NSYSU

10. Chen, Tse-Cheng. ICA-clustered Support Vector Regressions in Time Series Stock Price Forecasting.

Degree: Master, Information Management, 2012, NSYSU

 Financial time-series forecasting has long been discussed because of its vitality for making informed investment decisions. This kind of problem, however, is intrinsically challenging due… (more)

Subjects/Keywords: support vector regression; cluster analysis; independent component analysis; time-series forecasting; financial time-series

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APA (6th Edition):

Chen, T. (2012). ICA-clustered Support Vector Regressions in Time Series Stock Price Forecasting. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829112-161635

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Tse-Cheng. “ICA-clustered Support Vector Regressions in Time Series Stock Price Forecasting.” 2012. Thesis, NSYSU. Accessed May 26, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829112-161635.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Tse-Cheng. “ICA-clustered Support Vector Regressions in Time Series Stock Price Forecasting.” 2012. Web. 26 May 2019.

Vancouver:

Chen T. ICA-clustered Support Vector Regressions in Time Series Stock Price Forecasting. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 May 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829112-161635.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen T. ICA-clustered Support Vector Regressions in Time Series Stock Price Forecasting. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0829112-161635

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Helsinki

11. Widgrén, Joona. Forecasting housing markets using Google searches: Empirical evidence from the Finnish housing market.

Degree: Department of Political and Economic Studies; Helsingfors universitet, Statsvetenskapliga fakulteten, Institutionen för politik och ekonomi, 2017, University of Helsinki

Tiedonetsintä tapahtuu nykyään suurelta osin internetissä. Internetissä tehtyjen hakujen on havaittu olevan yhteydessä reaalimaailman ilmiöihin, mutta voidaanko tätä tietoa käyttää asuntomarkkinoiden ennustamisessa? Tässä tutkielmassa selvitetään… (more)

Subjects/Keywords: Time series; Housing markets; Forecasting; aikasarja-analyysi; asuntomarkkinat; ennustaminen; Kansantaloustiede; Economics; Nationalekonomi; Time series; Housing markets; Forecasting; aikasarja-analyysi; asuntomarkkinat; ennustaminen

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APA (6th Edition):

Widgrén, J. (2017). Forecasting housing markets using Google searches: Empirical evidence from the Finnish housing market. (Masters Thesis). University of Helsinki. Retrieved from http://hdl.handle.net/10138/193619

Chicago Manual of Style (16th Edition):

Widgrén, Joona. “Forecasting housing markets using Google searches: Empirical evidence from the Finnish housing market.” 2017. Masters Thesis, University of Helsinki. Accessed May 26, 2019. http://hdl.handle.net/10138/193619.

MLA Handbook (7th Edition):

Widgrén, Joona. “Forecasting housing markets using Google searches: Empirical evidence from the Finnish housing market.” 2017. Web. 26 May 2019.

Vancouver:

Widgrén J. Forecasting housing markets using Google searches: Empirical evidence from the Finnish housing market. [Internet] [Masters thesis]. University of Helsinki; 2017. [cited 2019 May 26]. Available from: http://hdl.handle.net/10138/193619.

Council of Science Editors:

Widgrén J. Forecasting housing markets using Google searches: Empirical evidence from the Finnish housing market. [Masters Thesis]. University of Helsinki; 2017. Available from: http://hdl.handle.net/10138/193619


Indian Institute of Science

12. Lanka, Karthikeyan. Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models.

Degree: 2013, Indian Institute of Science

 The idea of time series forecasting techniques is that the past has certain information about future. So, the question of how the information is encoded… (more)

Subjects/Keywords: Time Series Forecasting; Nonstationary Time Series; Wavelets; Time Series Decomposition Algorithms; Autoregressive Moving Average Model; Time Series Modeling; Time Series Analysis; Streamflow; Rain and Rainfall; Time Series Nonstationarity; Drought Forecasting; Hydrology - Time Series Modeling; Empirical Mode Decomposition Model; Continuous Wavelet Transforms (CWT); Time Series Forecasting Techniques; Discrete Wavelet Transform (DWT); Empirical Mode Decomposition (EMD); Civil Engineering

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APA (6th Edition):

Lanka, K. (2013). Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/2005/3363 ; http://etd.iisc.ernet.in/abstracts/4218/G25747-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lanka, Karthikeyan. “Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models.” 2013. Thesis, Indian Institute of Science. Accessed May 26, 2019. http://etd.iisc.ernet.in/2005/3363 ; http://etd.iisc.ernet.in/abstracts/4218/G25747-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lanka, Karthikeyan. “Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models.” 2013. Web. 26 May 2019.

Vancouver:

Lanka K. Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models. [Internet] [Thesis]. Indian Institute of Science; 2013. [cited 2019 May 26]. Available from: http://etd.iisc.ernet.in/2005/3363 ; http://etd.iisc.ernet.in/abstracts/4218/G25747-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lanka K. Predictability of Nonstationary Time Series using Wavelet and Empirical Mode Decomposition Based ARMA Models. [Thesis]. Indian Institute of Science; 2013. Available from: http://etd.iisc.ernet.in/2005/3363 ; http://etd.iisc.ernet.in/abstracts/4218/G25747-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of KwaZulu-Natal

13. [No author]. Forecasting electricity demand using univariate time series volatility forecasting models : a case study of Uganda and South Africa.

Degree: 2016, University of KwaZulu-Natal

 Different sectors of economies are significantly affected by the supply of electricity. However, with the available limited resources, supply and demand of electricity in Africa… (more)

Subjects/Keywords: Electric power production  – South Africa  – Forecasting.; Time-series analysis.; Electric power production  – Uganda  – Forecasting.; Statistics.

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APA (6th Edition):

author], [. (2016). Forecasting electricity demand using univariate time series volatility forecasting models : a case study of Uganda and South Africa. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/13957

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

author], [No. “Forecasting electricity demand using univariate time series volatility forecasting models : a case study of Uganda and South Africa. ” 2016. Thesis, University of KwaZulu-Natal. Accessed May 26, 2019. http://hdl.handle.net/10413/13957.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

author], [No. “Forecasting electricity demand using univariate time series volatility forecasting models : a case study of Uganda and South Africa. ” 2016. Web. 26 May 2019.

Vancouver:

author] [. Forecasting electricity demand using univariate time series volatility forecasting models : a case study of Uganda and South Africa. [Internet] [Thesis]. University of KwaZulu-Natal; 2016. [cited 2019 May 26]. Available from: http://hdl.handle.net/10413/13957.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Forecasting electricity demand using univariate time series volatility forecasting models : a case study of Uganda and South Africa. [Thesis]. University of KwaZulu-Natal; 2016. Available from: http://hdl.handle.net/10413/13957

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Λισγάρα, Ελένη. Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών.

Degree: 2011, University of Patras; Πανεπιστήμιο Πατρών

Time series prediction, especially in the case of financial time series, has attracted major research interest. In finance, time series analysis is applied widely for… (more)

Subjects/Keywords: Τεχνικές βελτιστοποίησης; Πρόβλεψη χρονοσειρών; Πρόβλεψη χρηματοοικονομικών κρίσεων; Optimization techniques; Time series forecasting; Financial crisis forecasting

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APA (6th Edition):

Λισγάρα, . . (2011). Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών. (Thesis). University of Patras; Πανεπιστήμιο Πατρών. Retrieved from http://hdl.handle.net/10442/hedi/26252

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Λισγάρα, Ελένη. “Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών.” 2011. Thesis, University of Patras; Πανεπιστήμιο Πατρών. Accessed May 26, 2019. http://hdl.handle.net/10442/hedi/26252.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Λισγάρα, Ελένη. “Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών.” 2011. Web. 26 May 2019.

Vancouver:

Λισγάρα . Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών. [Internet] [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2011. [cited 2019 May 26]. Available from: http://hdl.handle.net/10442/hedi/26252.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Λισγάρα . Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών. [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2011. Available from: http://hdl.handle.net/10442/hedi/26252

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Λισγάρα, Ελένη. Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών.

Degree: 2011, University of Patras

Η πρόβλεψη χρονοσειρών και μάλιστα αποτελούμενων από χρηματοοικονομικά δεδομένα έχει αποτελέσει αντικείμενο εκτεταμένης ερευνητικής δραστηριότητας. Στη χρηματοοικονομική επιστήμη, η ανάλυση χρονοσειρών εφαρμόζεται ευρέως για την… (more)

Subjects/Keywords: Πρόβλεψη χρονοσειρών; Βελτιστοποίηση; Πρόβλεψη κρίσεων; 332.645; Time series forecasting; Optimization; Financial crisis forecasting

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Λισγάρα, . (2011). Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών. (Doctoral Dissertation). University of Patras. Retrieved from http://hdl.handle.net/10889/5142

Chicago Manual of Style (16th Edition):

Λισγάρα, Ελένη. “Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών.” 2011. Doctoral Dissertation, University of Patras. Accessed May 26, 2019. http://hdl.handle.net/10889/5142.

MLA Handbook (7th Edition):

Λισγάρα, Ελένη. “Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών.” 2011. Web. 26 May 2019.

Vancouver:

Λισγάρα . Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών. [Internet] [Doctoral dissertation]. University of Patras; 2011. [cited 2019 May 26]. Available from: http://hdl.handle.net/10889/5142.

Council of Science Editors:

Λισγάρα . Τεχνικές βελτιστοποίησης στην πρόβλεψη χρονοσειρών. [Doctoral Dissertation]. University of Patras; 2011. Available from: http://hdl.handle.net/10889/5142


Uppsala University

16. Yongtao, Yu. Exchange rate forecasting model comparison: A case study in North Europe.

Degree: Statistics, 2011, Uppsala University

  In the past, a lot of studies about the comparison of exchange rate forecasting models have been carried out. Most of these studies have… (more)

Subjects/Keywords: multivariable time series models; exchange rate; forecasting comparison; forecasting accuracy; equal accuracy test

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APA (6th Edition):

Yongtao, Y. (2011). Exchange rate forecasting model comparison: A case study in North Europe. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154948

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yongtao, Yu. “Exchange rate forecasting model comparison: A case study in North Europe.” 2011. Thesis, Uppsala University. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154948.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yongtao, Yu. “Exchange rate forecasting model comparison: A case study in North Europe.” 2011. Web. 26 May 2019.

Vancouver:

Yongtao Y. Exchange rate forecasting model comparison: A case study in North Europe. [Internet] [Thesis]. Uppsala University; 2011. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154948.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yongtao Y. Exchange rate forecasting model comparison: A case study in North Europe. [Thesis]. Uppsala University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154948

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade do Rio Grande do Sul

17. Konzen, Evandro. Penalizações tipo lasso na seleção de covariáveis em séries temporais.

Degree: 2014, Universidade do Rio Grande do Sul

Este trabalho aplica algumas formas de penalização tipo LASSO aos coeficientes para reduzir a dimensionalidade do espaço paramétrico em séries temporais, no intuito de melhorar… (more)

Subjects/Keywords: Time series; Series temporais; LASSO; Modelo de previsão; Modelo econométrico; AdaLASSO; Variable selection; Forecasting

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Konzen, E. (2014). Penalizações tipo lasso na seleção de covariáveis em séries temporais. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/103896

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Konzen, Evandro. “Penalizações tipo lasso na seleção de covariáveis em séries temporais.” 2014. Thesis, Universidade do Rio Grande do Sul. Accessed May 26, 2019. http://hdl.handle.net/10183/103896.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Konzen, Evandro. “Penalizações tipo lasso na seleção de covariáveis em séries temporais.” 2014. Web. 26 May 2019.

Vancouver:

Konzen E. Penalizações tipo lasso na seleção de covariáveis em séries temporais. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2014. [cited 2019 May 26]. Available from: http://hdl.handle.net/10183/103896.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Konzen E. Penalizações tipo lasso na seleção de covariáveis em séries temporais. [Thesis]. Universidade do Rio Grande do Sul; 2014. Available from: http://hdl.handle.net/10183/103896

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New Orleans

18. Kattekola, Sravanthi. Weather Radar image Based Forecasting using Joint Series Prediction.

Degree: MS, Electrical Engineering, 2010, University of New Orleans

  Accurate rainfall forecasting using weather radar imagery has always been a crucial and predominant task in the field of meteorology [1], [2], [3] and… (more)

Subjects/Keywords: Radial Basis Function Neural Network; Forecasting; Time Series Prediction

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APA (6th Edition):

Kattekola, S. (2010). Weather Radar image Based Forecasting using Joint Series Prediction. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1238

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kattekola, Sravanthi. “Weather Radar image Based Forecasting using Joint Series Prediction.” 2010. Thesis, University of New Orleans. Accessed May 26, 2019. https://scholarworks.uno.edu/td/1238.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kattekola, Sravanthi. “Weather Radar image Based Forecasting using Joint Series Prediction.” 2010. Web. 26 May 2019.

Vancouver:

Kattekola S. Weather Radar image Based Forecasting using Joint Series Prediction. [Internet] [Thesis]. University of New Orleans; 2010. [cited 2019 May 26]. Available from: https://scholarworks.uno.edu/td/1238.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kattekola S. Weather Radar image Based Forecasting using Joint Series Prediction. [Thesis]. University of New Orleans; 2010. Available from: https://scholarworks.uno.edu/td/1238

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

19. Cui, Huijuan. Entropy Theory for Streamflow Forecasting.

Degree: 2015, Texas A&M University

 Entropy spectral analysis is developed for monthly streamflow forecasting, which contains the use of configurational entropy and relative entropy. Multi-channel entropy spectral analysis is developed… (more)

Subjects/Keywords: streamflow forecasting; entropy; spectral analysis; time series analysis

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APA (6th Edition):

Cui, H. (2015). Entropy Theory for Streamflow Forecasting. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/155060

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cui, Huijuan. “Entropy Theory for Streamflow Forecasting.” 2015. Thesis, Texas A&M University. Accessed May 26, 2019. http://hdl.handle.net/1969.1/155060.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cui, Huijuan. “Entropy Theory for Streamflow Forecasting.” 2015. Web. 26 May 2019.

Vancouver:

Cui H. Entropy Theory for Streamflow Forecasting. [Internet] [Thesis]. Texas A&M University; 2015. [cited 2019 May 26]. Available from: http://hdl.handle.net/1969.1/155060.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cui H. Entropy Theory for Streamflow Forecasting. [Thesis]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/155060

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Vondra, Tomáš. Automatic Scaling in Cloud Computing .

Degree: 2017, Czech University of Technology

 This dissertation thesis deals with automatic scaling in cloud computing, mainly focusing on the performance of interactive workloads, that is web servers and services, running… (more)

Subjects/Keywords: cloud computing; autoscaling; time series forecasting; green computing; simulation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vondra, T. (2017). Automatic Scaling in Cloud Computing . (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/72822

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vondra, Tomáš. “Automatic Scaling in Cloud Computing .” 2017. Thesis, Czech University of Technology. Accessed May 26, 2019. http://hdl.handle.net/10467/72822.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vondra, Tomáš. “Automatic Scaling in Cloud Computing .” 2017. Web. 26 May 2019.

Vancouver:

Vondra T. Automatic Scaling in Cloud Computing . [Internet] [Thesis]. Czech University of Technology; 2017. [cited 2019 May 26]. Available from: http://hdl.handle.net/10467/72822.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vondra T. Automatic Scaling in Cloud Computing . [Thesis]. Czech University of Technology; 2017. Available from: http://hdl.handle.net/10467/72822

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vytautas Magnus University

21. Daukšytė, Laima. Europos šalių gamintojų kainų indekso prognozavimas.

Degree: Master, Mathematics, 2011, Vytautas Magnus University

Diplominio darbo tikslas - išanalizuoti Europos Sąjungos (ES), Euro zonos ir keturių pasirinktų ES šalių gamintojų parduotos pramonės produkcijos kainų indekso (GKI) laiko eilutes ir… (more)

Subjects/Keywords: GKI; Laiko eilutės; ARIMA; Prognozavimas; PPI; ARIMA; Time series; Forecasting

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APA (6th Edition):

Daukšytė, Laima. (2011). Europos šalių gamintojų kainų indekso prognozavimas. (Masters Thesis). Vytautas Magnus University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110615_112421-68805 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Daukšytė, Laima. “Europos šalių gamintojų kainų indekso prognozavimas.” 2011. Masters Thesis, Vytautas Magnus University. Accessed May 26, 2019. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110615_112421-68805 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Daukšytė, Laima. “Europos šalių gamintojų kainų indekso prognozavimas.” 2011. Web. 26 May 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Daukšytė, Laima. Europos šalių gamintojų kainų indekso prognozavimas. [Internet] [Masters thesis]. Vytautas Magnus University; 2011. [cited 2019 May 26]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110615_112421-68805 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Daukšytė, Laima. Europos šalių gamintojų kainų indekso prognozavimas. [Masters Thesis]. Vytautas Magnus University; 2011. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110615_112421-68805 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Hong Kong University of Science and Technology

22. Hong, Yancheng. Event forecasting through news sentiment analysis.

Degree: 2010, Hong Kong University of Science and Technology

Forecasting is the process of making predictions about events whose actual outcomes have not yet been observed. Accurate forecasting helps people make the right decision… (more)

Subjects/Keywords: Forecasting  – Data processing; Time-series analysis  – Data processing; Emotions  – Data processing

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APA (6th Edition):

Hong, Y. (2010). Event forecasting through news sentiment analysis. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1106654 ; http://repository.ust.hk/ir/bitstream/1783.1-6756/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hong, Yancheng. “Event forecasting through news sentiment analysis.” 2010. Thesis, Hong Kong University of Science and Technology. Accessed May 26, 2019. https://doi.org/10.14711/thesis-b1106654 ; http://repository.ust.hk/ir/bitstream/1783.1-6756/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hong, Yancheng. “Event forecasting through news sentiment analysis.” 2010. Web. 26 May 2019.

Vancouver:

Hong Y. Event forecasting through news sentiment analysis. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2010. [cited 2019 May 26]. Available from: https://doi.org/10.14711/thesis-b1106654 ; http://repository.ust.hk/ir/bitstream/1783.1-6756/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hong Y. Event forecasting through news sentiment analysis. [Thesis]. Hong Kong University of Science and Technology; 2010. Available from: https://doi.org/10.14711/thesis-b1106654 ; http://repository.ust.hk/ir/bitstream/1783.1-6756/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

23. Sheetz, Nathaniel Cloud. PREDICTING EMERGENCY DEPARTMENT CENSUS.

Degree: MS, Industrial Engineering, 2008, Penn State University

 Hospital emergency departments (EDs) in the United States face increasing patient demand even as capacity declines, causing crowding and negatively affecting the patient experience. Due… (more)

Subjects/Keywords: regression; forecasting; patient census; emergency department; time series

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APA (6th Edition):

Sheetz, N. C. (2008). PREDICTING EMERGENCY DEPARTMENT CENSUS. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/8638

Chicago Manual of Style (16th Edition):

Sheetz, Nathaniel Cloud. “PREDICTING EMERGENCY DEPARTMENT CENSUS.” 2008. Masters Thesis, Penn State University. Accessed May 26, 2019. https://etda.libraries.psu.edu/catalog/8638.

MLA Handbook (7th Edition):

Sheetz, Nathaniel Cloud. “PREDICTING EMERGENCY DEPARTMENT CENSUS.” 2008. Web. 26 May 2019.

Vancouver:

Sheetz NC. PREDICTING EMERGENCY DEPARTMENT CENSUS. [Internet] [Masters thesis]. Penn State University; 2008. [cited 2019 May 26]. Available from: https://etda.libraries.psu.edu/catalog/8638.

Council of Science Editors:

Sheetz NC. PREDICTING EMERGENCY DEPARTMENT CENSUS. [Masters Thesis]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/8638


University of Sydney

24. Wong, Wai Ho. Predicting Demand in Cloud Computing Environments .

Degree: 2013, University of Sydney

 Cloud computing is a new computing paradigm that enables elastic on-demand pay-per-use access to shared computational resources. However, there are current limitations on the elasticity… (more)

Subjects/Keywords: time-series; forecasting; prediction; cloud computing; boosting; ensemble learning

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APA (6th Edition):

Wong, W. H. (2013). Predicting Demand in Cloud Computing Environments . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9497

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wong, Wai Ho. “Predicting Demand in Cloud Computing Environments .” 2013. Thesis, University of Sydney. Accessed May 26, 2019. http://hdl.handle.net/2123/9497.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wong, Wai Ho. “Predicting Demand in Cloud Computing Environments .” 2013. Web. 26 May 2019.

Vancouver:

Wong WH. Predicting Demand in Cloud Computing Environments . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 May 26]. Available from: http://hdl.handle.net/2123/9497.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wong WH. Predicting Demand in Cloud Computing Environments . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9497

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Tennessee – Knoxville

25. Zhu, Xiaojuan. Forecasting Employee Turnover in Large Organizations.

Degree: 2016, University of Tennessee – Knoxville

 Researchers and human resource departments have focused on employee turnover for decades. This study developed a methodology forecasting employee turnover at organizational and departmental levels… (more)

Subjects/Keywords: Turnover Forecasting; Survival Analysis; Time Series; Classification Model; Industrial Engineering

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APA (6th Edition):

Zhu, X. (2016). Forecasting Employee Turnover in Large Organizations. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/3985

Chicago Manual of Style (16th Edition):

Zhu, Xiaojuan. “Forecasting Employee Turnover in Large Organizations.” 2016. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed May 26, 2019. https://trace.tennessee.edu/utk_graddiss/3985.

MLA Handbook (7th Edition):

Zhu, Xiaojuan. “Forecasting Employee Turnover in Large Organizations.” 2016. Web. 26 May 2019.

Vancouver:

Zhu X. Forecasting Employee Turnover in Large Organizations. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2016. [cited 2019 May 26]. Available from: https://trace.tennessee.edu/utk_graddiss/3985.

Council of Science Editors:

Zhu X. Forecasting Employee Turnover in Large Organizations. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2016. Available from: https://trace.tennessee.edu/utk_graddiss/3985


Universidade Nova

26. Baptista, Maria Helena Miranda Flores. The portuguese pharmaceutial market in the near future - A time series exploration approach.

Degree: 2008, Universidade Nova

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Using a novel exploratory technique for time series(more)

Subjects/Keywords: SSA; Time series; Forecasting; Pharmaceutical market; Séries temporais; Previsão; Mercado farmacêutico

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APA (6th Edition):

Baptista, M. H. M. F. (2008). The portuguese pharmaceutial market in the near future - A time series exploration approach. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/2638

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Baptista, Maria Helena Miranda Flores. “The portuguese pharmaceutial market in the near future - A time series exploration approach.” 2008. Thesis, Universidade Nova. Accessed May 26, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/2638.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Baptista, Maria Helena Miranda Flores. “The portuguese pharmaceutial market in the near future - A time series exploration approach.” 2008. Web. 26 May 2019.

Vancouver:

Baptista MHMF. The portuguese pharmaceutial market in the near future - A time series exploration approach. [Internet] [Thesis]. Universidade Nova; 2008. [cited 2019 May 26]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/2638.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Baptista MHMF. The portuguese pharmaceutial market in the near future - A time series exploration approach. [Thesis]. Universidade Nova; 2008. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/2638

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Catholique de Louvain

27. Steghers, Mathieu. Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes.

Degree: 2015, Université Catholique de Louvain

This paper examines whether the inclusion of several commodity indexes in multivariate mod- els could improve the forecast of CPI inflation for Belgium and Norway.… (more)

Subjects/Keywords: forecasting; time series; CPI inflation; commodity indexes; univariate and multivariate models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Steghers, M. (2015). Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/thesis:2678

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Steghers, Mathieu. “Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes.” 2015. Thesis, Université Catholique de Louvain. Accessed May 26, 2019. http://hdl.handle.net/2078.1/thesis:2678.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Steghers, Mathieu. “Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes.” 2015. Web. 26 May 2019.

Vancouver:

Steghers M. Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes. [Internet] [Thesis]. Université Catholique de Louvain; 2015. [cited 2019 May 26]. Available from: http://hdl.handle.net/2078.1/thesis:2678.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Steghers M. Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes. [Thesis]. Université Catholique de Louvain; 2015. Available from: http://hdl.handle.net/2078.1/thesis:2678

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Ravazzolo, Francesco. Forecasting Financial Time Series Using Model Averaging.

Degree: 2007, Erasmus School of Economics

 textabstractIn almost all cases a decision maker cannot identify ex ante the true process. This observation has led researchers to introduce several sources of uncertainty… (more)

Subjects/Keywords: financial time series; forecasting models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ravazzolo, F. (2007). Forecasting Financial Time Series Using Model Averaging. (Doctoral Dissertation). Erasmus School of Economics. Retrieved from http://hdl.handle.net/1765/10671

Chicago Manual of Style (16th Edition):

Ravazzolo, Francesco. “Forecasting Financial Time Series Using Model Averaging.” 2007. Doctoral Dissertation, Erasmus School of Economics. Accessed May 26, 2019. http://hdl.handle.net/1765/10671.

MLA Handbook (7th Edition):

Ravazzolo, Francesco. “Forecasting Financial Time Series Using Model Averaging.” 2007. Web. 26 May 2019.

Vancouver:

Ravazzolo F. Forecasting Financial Time Series Using Model Averaging. [Internet] [Doctoral dissertation]. Erasmus School of Economics; 2007. [cited 2019 May 26]. Available from: http://hdl.handle.net/1765/10671.

Council of Science Editors:

Ravazzolo F. Forecasting Financial Time Series Using Model Averaging. [Doctoral Dissertation]. Erasmus School of Economics; 2007. Available from: http://hdl.handle.net/1765/10671

29. AJMAL, KHAN. Daily Calls Volume Forecasting.

Degree: Statistics, 2010, Dalarna University

  A massive amount has been written about forecasting but few articles are written about the development of time series models of call volumes for… (more)

Subjects/Keywords: Rescue 1122; Time series forecasting; daily call volume; ARIMA Modeling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

AJMAL, K. (2010). Daily Calls Volume Forecasting. (Thesis). Dalarna University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:du-4852

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

AJMAL, KHAN. “Daily Calls Volume Forecasting.” 2010. Thesis, Dalarna University. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:du-4852.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

AJMAL, KHAN. “Daily Calls Volume Forecasting.” 2010. Web. 26 May 2019.

Vancouver:

AJMAL K. Daily Calls Volume Forecasting. [Internet] [Thesis]. Dalarna University; 2010. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-4852.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

AJMAL K. Daily Calls Volume Forecasting. [Thesis]. Dalarna University; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-4852

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Uppsala University

30. Kalmár, Marcus. The art of forecasting – an analysis of predictive precision of machine learning models.

Degree: Statistics, 2016, Uppsala University

Forecasting is used for decision making and unreliable predictions can instill a false sense of condence. Traditional time series modelling is astatistical art form… (more)

Subjects/Keywords: Random Forest; Neural Network; forecasting; simulation; vector autoregression; time series

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kalmár, M. (2016). The art of forecasting – an analysis of predictive precision of machine learning models. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280675

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kalmár, Marcus. “The art of forecasting – an analysis of predictive precision of machine learning models.” 2016. Thesis, Uppsala University. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280675.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kalmár, Marcus. “The art of forecasting – an analysis of predictive precision of machine learning models.” 2016. Web. 26 May 2019.

Vancouver:

Kalmár M. The art of forecasting – an analysis of predictive precision of machine learning models. [Internet] [Thesis]. Uppsala University; 2016. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280675.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kalmár M. The art of forecasting – an analysis of predictive precision of machine learning models. [Thesis]. Uppsala University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280675

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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