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You searched for subject:( Time series analysis). Showing records 1 – 30 of 131769 total matches.

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Rutgers University

1. Yan, Xi, 1985-. Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization.

Degree: PhD, Statistics and Biostatistics, 2019, Rutgers University

This dissertation focuses on developing new statistical methods for analyzing and modeling financial time series. The first part of this dissertation discusses modeling of functional… (more)

Subjects/Keywords: Functional time series; Time-series analysis

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APA (6th Edition):

Yan, Xi, 1. (2019). Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/62066/

Chicago Manual of Style (16th Edition):

Yan, Xi, 1985-. “Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization.” 2019. Doctoral Dissertation, Rutgers University. Accessed April 16, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/62066/.

MLA Handbook (7th Edition):

Yan, Xi, 1985-. “Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization.” 2019. Web. 16 Apr 2021.

Vancouver:

Yan, Xi 1. Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2021 Apr 16]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/62066/.

Council of Science Editors:

Yan, Xi 1. Statistical analysis of dynamic risk neutral density, dynamic cross-sectional distribution and portfolio optimization. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/62066/


University of Johannesburg

2. Human, Johannes Urbanus. Some aspects of harmonic time series analysis.

Degree: PhD, 2012, University of Johannesburg

 Harmonic time series are often used to describe the periodic nature of a time series, for example the periodic nature of a variable star’s observed… (more)

Subjects/Keywords: Harmonic analysis; Time-series analysis

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APA (6th Edition):

Human, J. U. (2012). Some aspects of harmonic time series analysis. (Doctoral Dissertation). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/4275

Chicago Manual of Style (16th Edition):

Human, Johannes Urbanus. “Some aspects of harmonic time series analysis.” 2012. Doctoral Dissertation, University of Johannesburg. Accessed April 16, 2021. http://hdl.handle.net/10210/4275.

MLA Handbook (7th Edition):

Human, Johannes Urbanus. “Some aspects of harmonic time series analysis.” 2012. Web. 16 Apr 2021.

Vancouver:

Human JU. Some aspects of harmonic time series analysis. [Internet] [Doctoral dissertation]. University of Johannesburg; 2012. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10210/4275.

Council of Science Editors:

Human JU. Some aspects of harmonic time series analysis. [Doctoral Dissertation]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/4275


The Ohio State University

3. Michel, Jonathan R. Essays in Nonlinear Time Series Analysis.

Degree: PhD, Economics, 2019, The Ohio State University

 This dissertation consists of six papers. Each of these papers are on a different aspect of statistical analysis of nonlinear time series. In the first… (more)

Subjects/Keywords: Economics; Time Series Analysis, Nonstationary time series, Mixing, Nonlinear Time Series

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APA (6th Edition):

Michel, J. R. (2019). Essays in Nonlinear Time Series Analysis. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1555001297904158

Chicago Manual of Style (16th Edition):

Michel, Jonathan R. “Essays in Nonlinear Time Series Analysis.” 2019. Doctoral Dissertation, The Ohio State University. Accessed April 16, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555001297904158.

MLA Handbook (7th Edition):

Michel, Jonathan R. “Essays in Nonlinear Time Series Analysis.” 2019. Web. 16 Apr 2021.

Vancouver:

Michel JR. Essays in Nonlinear Time Series Analysis. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2021 Apr 16]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555001297904158.

Council of Science Editors:

Michel JR. Essays in Nonlinear Time Series Analysis. [Doctoral Dissertation]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1555001297904158


Nelson Mandela Metropolitan University

4. Mlambo, Farai Fredric. Good's casualty for time series: a regime-switching framework.

Degree: Faculty of Science, 2014, Nelson Mandela Metropolitan University

 Causal analysis is a significant role-playing field in the applied sciences such as statistics, econometrics, and technometrics. Particularly, probability-raising models have warranted significant research interest.… (more)

Subjects/Keywords: Time-series analysis; Econometrics

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APA (6th Edition):

Mlambo, F. F. (2014). Good's casualty for time series: a regime-switching framework. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/6018

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):

Mlambo, Farai Fredric. “Good's casualty for time series: a regime-switching framework.” 2014. Thesis, Nelson Mandela Metropolitan University. Accessed April 16, 2021. http://hdl.handle.net/10948/6018.

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

MLA Handbook (7th Edition):

Mlambo, Farai Fredric. “Good's casualty for time series: a regime-switching framework.” 2014. Web. 16 Apr 2021.

Vancouver:

Mlambo FF. Good's casualty for time series: a regime-switching framework. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10948/6018.

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

Council of Science Editors:

Mlambo FF. Good's casualty for time series: a regime-switching framework. [Thesis]. Nelson Mandela Metropolitan University; 2014. Available from: http://hdl.handle.net/10948/6018

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


University of Georgia

5. Slaughter, Justin Michael. Small-sample prediction of estimated loss potentials.

Degree: 2014, University of Georgia

 This thesis constructs predictions for the 2003 General Liability premises and operations estimated loss potentials (ELPs) for Manufacturers and Contractors (MC) and Owners, Landlords, and… (more)

Subjects/Keywords: Actuarial; Bootstrapping; Time-Series Analysis

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APA (6th Edition):

Slaughter, J. M. (2014). Small-sample prediction of estimated loss potentials. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/24496

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):

Slaughter, Justin Michael. “Small-sample prediction of estimated loss potentials.” 2014. Thesis, University of Georgia. Accessed April 16, 2021. http://hdl.handle.net/10724/24496.

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

MLA Handbook (7th Edition):

Slaughter, Justin Michael. “Small-sample prediction of estimated loss potentials.” 2014. Web. 16 Apr 2021.

Vancouver:

Slaughter JM. Small-sample prediction of estimated loss potentials. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10724/24496.

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

Council of Science Editors:

Slaughter JM. Small-sample prediction of estimated loss potentials. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/24496

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


Queens University

6. Rahim, Karim. Applications of Multitaper Spectral Analysis to Nonstationary Data .

Degree: Mathematics and Statistics, 2014, Queens University

 This thesis is concerned with changes in the spectrum over time observed in Holocene climate data as recorded in the Burgundy grape harvest date series.… (more)

Subjects/Keywords: Spectral Analysis ; Time Series

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APA (6th Edition):

Rahim, K. (2014). Applications of Multitaper Spectral Analysis to Nonstationary Data . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/12584

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):

Rahim, Karim. “Applications of Multitaper Spectral Analysis to Nonstationary Data .” 2014. Thesis, Queens University. Accessed April 16, 2021. http://hdl.handle.net/1974/12584.

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

MLA Handbook (7th Edition):

Rahim, Karim. “Applications of Multitaper Spectral Analysis to Nonstationary Data .” 2014. Web. 16 Apr 2021.

Vancouver:

Rahim K. Applications of Multitaper Spectral Analysis to Nonstationary Data . [Internet] [Thesis]. Queens University; 2014. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1974/12584.

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

Council of Science Editors:

Rahim K. Applications of Multitaper Spectral Analysis to Nonstationary Data . [Thesis]. Queens University; 2014. Available from: http://hdl.handle.net/1974/12584

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


Hong Kong University of Science and Technology

7. Wu, Degang. Coupling analysis in time series using information theory and dynamical systems theory.

Degree: 2016, Hong Kong University of Science and Technology

 Inferring causality from observations of different entities is central to science. Time series is an important form of observations in subjects ranging from physics, geology… (more)

Subjects/Keywords: Time-series analysis ; Mathematical models

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APA (6th Edition):

Wu, D. (2016). Coupling analysis in time series using information theory and dynamical systems theory. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-87522 ; https://doi.org/10.14711/thesis-b1736171 ; http://repository.ust.hk/ir/bitstream/1783.1-87522/1/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):

Wu, Degang. “Coupling analysis in time series using information theory and dynamical systems theory.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed April 16, 2021. http://repository.ust.hk/ir/Record/1783.1-87522 ; https://doi.org/10.14711/thesis-b1736171 ; http://repository.ust.hk/ir/bitstream/1783.1-87522/1/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):

Wu, Degang. “Coupling analysis in time series using information theory and dynamical systems theory.” 2016. Web. 16 Apr 2021.

Vancouver:

Wu D. Coupling analysis in time series using information theory and dynamical systems theory. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2021 Apr 16]. Available from: http://repository.ust.hk/ir/Record/1783.1-87522 ; https://doi.org/10.14711/thesis-b1736171 ; http://repository.ust.hk/ir/bitstream/1783.1-87522/1/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:

Wu D. Coupling analysis in time series using information theory and dynamical systems theory. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: http://repository.ust.hk/ir/Record/1783.1-87522 ; https://doi.org/10.14711/thesis-b1736171 ; http://repository.ust.hk/ir/bitstream/1783.1-87522/1/th_redirect.html

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


Delft University of Technology

8. Klop, Stijn (author). From observation well to model area: Estimating groundwater levels spatially using time series analysis.

Degree: 2019, Delft University of Technology

Estimating groundwater levels spatially using time series analysis. With time series analysis a response function of an observation well is determined. The response function is… (more)

Subjects/Keywords: Groundwater; time series analysis

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APA (6th Edition):

Klop, S. (. (2019). From observation well to model area: Estimating groundwater levels spatially using time series analysis. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:362f6b0f-b3aa-41c6-b47e-b625c963d8a0

Chicago Manual of Style (16th Edition):

Klop, Stijn (author). “From observation well to model area: Estimating groundwater levels spatially using time series analysis.” 2019. Masters Thesis, Delft University of Technology. Accessed April 16, 2021. http://resolver.tudelft.nl/uuid:362f6b0f-b3aa-41c6-b47e-b625c963d8a0.

MLA Handbook (7th Edition):

Klop, Stijn (author). “From observation well to model area: Estimating groundwater levels spatially using time series analysis.” 2019. Web. 16 Apr 2021.

Vancouver:

Klop S(. From observation well to model area: Estimating groundwater levels spatially using time series analysis. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Apr 16]. Available from: http://resolver.tudelft.nl/uuid:362f6b0f-b3aa-41c6-b47e-b625c963d8a0.

Council of Science Editors:

Klop S(. From observation well to model area: Estimating groundwater levels spatially using time series analysis. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:362f6b0f-b3aa-41c6-b47e-b625c963d8a0


Rutgers University

9. Liu, Xialu, 1986-. New models and methods for time series analysis in big data era.

Degree: PhD, Statistics and Biostatistics, 2015, Rutgers University

In big data era, available information becomes massive and complex and is often observed over time. Conventional time series models are limited in capability of… (more)

Subjects/Keywords: Time-series analysis; Big data

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APA (6th Edition):

Liu, Xialu, 1. (2015). New models and methods for time series analysis in big data era. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47468/

Chicago Manual of Style (16th Edition):

Liu, Xialu, 1986-. “New models and methods for time series analysis in big data era.” 2015. Doctoral Dissertation, Rutgers University. Accessed April 16, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/47468/.

MLA Handbook (7th Edition):

Liu, Xialu, 1986-. “New models and methods for time series analysis in big data era.” 2015. Web. 16 Apr 2021.

Vancouver:

Liu, Xialu 1. New models and methods for time series analysis in big data era. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2021 Apr 16]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47468/.

Council of Science Editors:

Liu, Xialu 1. New models and methods for time series analysis in big data era. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47468/


Rutgers University

10. Chang, Kun. Topics in compositional, seasonal and spatial-temporal time series.

Degree: PhD, Statistics and Biostatistics, 2015, Rutgers University

This dissertation studies several topics in time series modeling. The discussion on seasonal time series, compositional time series and spatial-temporal time series brings new insight… (more)

Subjects/Keywords: Time-series analysis; Prediction theory

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APA (6th Edition):

Chang, K. (2015). Topics in compositional, seasonal and spatial-temporal time series. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/48411/

Chicago Manual of Style (16th Edition):

Chang, Kun. “Topics in compositional, seasonal and spatial-temporal time series.” 2015. Doctoral Dissertation, Rutgers University. Accessed April 16, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/48411/.

MLA Handbook (7th Edition):

Chang, Kun. “Topics in compositional, seasonal and spatial-temporal time series.” 2015. Web. 16 Apr 2021.

Vancouver:

Chang K. Topics in compositional, seasonal and spatial-temporal time series. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2021 Apr 16]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48411/.

Council of Science Editors:

Chang K. Topics in compositional, seasonal and spatial-temporal time series. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/48411/


University of Oxford

11. Lim, Si Jie Bryan. Deep learning for time series prediction and decision making over time.

Degree: PhD, 2020, University of Oxford

 In this thesis, we develop a collection of state-of-the-art deep learning models for time series forecasting. Primarily focusing on a closer alignment with traditional methods… (more)

Subjects/Keywords: time series analysis; deep learning

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APA (6th Edition):

Lim, S. J. B. (2020). Deep learning for time series prediction and decision making over time. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:38843c7a-2123-4b5d-8454-2ae35a7ed6ce ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.823533

Chicago Manual of Style (16th Edition):

Lim, Si Jie Bryan. “Deep learning for time series prediction and decision making over time.” 2020. Doctoral Dissertation, University of Oxford. Accessed April 16, 2021. http://ora.ox.ac.uk/objects/uuid:38843c7a-2123-4b5d-8454-2ae35a7ed6ce ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.823533.

MLA Handbook (7th Edition):

Lim, Si Jie Bryan. “Deep learning for time series prediction and decision making over time.” 2020. Web. 16 Apr 2021.

Vancouver:

Lim SJB. Deep learning for time series prediction and decision making over time. [Internet] [Doctoral dissertation]. University of Oxford; 2020. [cited 2021 Apr 16]. Available from: http://ora.ox.ac.uk/objects/uuid:38843c7a-2123-4b5d-8454-2ae35a7ed6ce ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.823533.

Council of Science Editors:

Lim SJB. Deep learning for time series prediction and decision making over time. [Doctoral Dissertation]. University of Oxford; 2020. Available from: http://ora.ox.ac.uk/objects/uuid:38843c7a-2123-4b5d-8454-2ae35a7ed6ce ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.823533


Columbia University

12. Yousuf, Kashif. Essays in High Dimensional Time Series Analysis.

Degree: 2019, Columbia University

 Due to the rapid improvements in the information technology, high dimensional time series datasets are frequently encountered in a variety of fields such as macroeconomics,… (more)

Subjects/Keywords: Statistics; Economics; Time-series analysis; Time-series analysis – Data processing; Regression analysis

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

APA (6th Edition):

Yousuf, K. (2019). Essays in High Dimensional Time Series Analysis. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-yfg6-4971

Chicago Manual of Style (16th Edition):

Yousuf, Kashif. “Essays in High Dimensional Time Series Analysis.” 2019. Doctoral Dissertation, Columbia University. Accessed April 16, 2021. https://doi.org/10.7916/d8-yfg6-4971.

MLA Handbook (7th Edition):

Yousuf, Kashif. “Essays in High Dimensional Time Series Analysis.” 2019. Web. 16 Apr 2021.

Vancouver:

Yousuf K. Essays in High Dimensional Time Series Analysis. [Internet] [Doctoral dissertation]. Columbia University; 2019. [cited 2021 Apr 16]. Available from: https://doi.org/10.7916/d8-yfg6-4971.

Council of Science Editors:

Yousuf K. Essays in High Dimensional Time Series Analysis. [Doctoral Dissertation]. Columbia University; 2019. Available from: https://doi.org/10.7916/d8-yfg6-4971

13. Hamada, Ryuunosuke. Applying Nonparametric Bayesian Approach to Non-homogeneous Multiple Time Series towards Prediction of Driving Operations : 運転行動の予測に向けた不均質な複数時系列へのノンパラメトリックベイズ法の適用; ウンテン コウドウ ノ ヨソク ニ ムケタ フキンシツナ フクスウ ジケイレツ エノ ノンパラメトリック ベイズホウ ノ テキヨウ.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

Subjects/Keywords: time series analysis

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APA (6th Edition):

Hamada, R. (n.d.). Applying Nonparametric Bayesian Approach to Non-homogeneous Multiple Time Series towards Prediction of Driving Operations : 運転行動の予測に向けた不均質な複数時系列へのノンパラメトリックベイズ法の適用; ウンテン コウドウ ノ ヨソク ニ ムケタ フキンシツナ フクスウ ジケイレツ エノ ノンパラメトリック ベイズホウ ノ テキヨウ. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/8739

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hamada, Ryuunosuke. “Applying Nonparametric Bayesian Approach to Non-homogeneous Multiple Time Series towards Prediction of Driving Operations : 運転行動の予測に向けた不均質な複数時系列へのノンパラメトリックベイズ法の適用; ウンテン コウドウ ノ ヨソク ニ ムケタ フキンシツナ フクスウ ジケイレツ エノ ノンパラメトリック ベイズホウ ノ テキヨウ.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed April 16, 2021. http://hdl.handle.net/10061/8739.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hamada, Ryuunosuke. “Applying Nonparametric Bayesian Approach to Non-homogeneous Multiple Time Series towards Prediction of Driving Operations : 運転行動の予測に向けた不均質な複数時系列へのノンパラメトリックベイズ法の適用; ウンテン コウドウ ノ ヨソク ニ ムケタ フキンシツナ フクスウ ジケイレツ エノ ノンパラメトリック ベイズホウ ノ テキヨウ.” Web. 16 Apr 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Hamada R. Applying Nonparametric Bayesian Approach to Non-homogeneous Multiple Time Series towards Prediction of Driving Operations : 運転行動の予測に向けた不均質な複数時系列へのノンパラメトリックベイズ法の適用; ウンテン コウドウ ノ ヨソク ニ ムケタ フキンシツナ フクスウ ジケイレツ エノ ノンパラメトリック ベイズホウ ノ テキヨウ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10061/8739.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Hamada R. Applying Nonparametric Bayesian Approach to Non-homogeneous Multiple Time Series towards Prediction of Driving Operations : 運転行動の予測に向けた不均質な複数時系列へのノンパラメトリックベイズ法の適用; ウンテン コウドウ ノ ヨソク ニ ムケタ フキンシツナ フクスウ ジケイレツ エノ ノンパラメトリック ベイズホウ ノ テキヨウ. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/8739

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Ryerson University

14. Ardalani-Farsa, Muhammad. Chaotic time series forecasting with residual analysis using synergy of ensemble neural networks and Taguchi's design of experiments.

Degree: 2010, Ryerson University

 This dissertation aims to develop an effective and practical method to forecast chaotic time series. Chaotic behaviour has been observed in the areas of marketing,… (more)

Subjects/Keywords: Chaotic behavior in systems; Time-series analysis

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APA (6th Edition):

Ardalani-Farsa, M. (2010). Chaotic time series forecasting with residual analysis using synergy of ensemble neural networks and Taguchi's design of experiments. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1347

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):

Ardalani-Farsa, Muhammad. “Chaotic time series forecasting with residual analysis using synergy of ensemble neural networks and Taguchi's design of experiments.” 2010. Thesis, Ryerson University. Accessed April 16, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A1347.

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

MLA Handbook (7th Edition):

Ardalani-Farsa, Muhammad. “Chaotic time series forecasting with residual analysis using synergy of ensemble neural networks and Taguchi's design of experiments.” 2010. Web. 16 Apr 2021.

Vancouver:

Ardalani-Farsa M. Chaotic time series forecasting with residual analysis using synergy of ensemble neural networks and Taguchi's design of experiments. [Internet] [Thesis]. Ryerson University; 2010. [cited 2021 Apr 16]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1347.

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

Council of Science Editors:

Ardalani-Farsa M. Chaotic time series forecasting with residual analysis using synergy of ensemble neural networks and Taguchi's design of experiments. [Thesis]. Ryerson University; 2010. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1347

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


Ryerson University

15. Ghoraani, Behnaz. Time-Frequency Feature Analysis.

Degree: 2010, Ryerson University

 Most of the real-world signals in nature are non-stationary, i.e., their statistics are time variant. Extracting the time-varying frequency characteristics of a signal is very… (more)

Subjects/Keywords: Signal processing  – Mathematics; Time-series analysis

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APA (6th Edition):

Ghoraani, B. (2010). Time-Frequency Feature Analysis. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1527

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):

Ghoraani, Behnaz. “Time-Frequency Feature Analysis.” 2010. Thesis, Ryerson University. Accessed April 16, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A1527.

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

MLA Handbook (7th Edition):

Ghoraani, Behnaz. “Time-Frequency Feature Analysis.” 2010. Web. 16 Apr 2021.

Vancouver:

Ghoraani B. Time-Frequency Feature Analysis. [Internet] [Thesis]. Ryerson University; 2010. [cited 2021 Apr 16]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1527.

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

Council of Science Editors:

Ghoraani B. Time-Frequency Feature Analysis. [Thesis]. Ryerson University; 2010. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1527

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


Oregon State University

16. Robb, Loretta J. Estimation of the order of an autoregressive time series : a Bayesian approach.

Degree: PhD, Statistics, 1979, Oregon State University

 Finite order autoregressive models for time series are often used for prediction and other inferences. Given the order of the model, the parameters of the… (more)

Subjects/Keywords: Time-series analysis

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APA (6th Edition):

Robb, L. J. (1979). Estimation of the order of an autoregressive time series : a Bayesian approach. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/42411

Chicago Manual of Style (16th Edition):

Robb, Loretta J. “Estimation of the order of an autoregressive time series : a Bayesian approach.” 1979. Doctoral Dissertation, Oregon State University. Accessed April 16, 2021. http://hdl.handle.net/1957/42411.

MLA Handbook (7th Edition):

Robb, Loretta J. “Estimation of the order of an autoregressive time series : a Bayesian approach.” 1979. Web. 16 Apr 2021.

Vancouver:

Robb LJ. Estimation of the order of an autoregressive time series : a Bayesian approach. [Internet] [Doctoral dissertation]. Oregon State University; 1979. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1957/42411.

Council of Science Editors:

Robb LJ. Estimation of the order of an autoregressive time series : a Bayesian approach. [Doctoral Dissertation]. Oregon State University; 1979. Available from: http://hdl.handle.net/1957/42411


Oregon State University

17. Tang, Zhigiang. Bilinear stochastic processes and time series.

Degree: PhD, Electrical and Computer Engineering, 1987, Oregon State University

 In engineering, biology, ecology, medicine, economics and social science, some processes are essentially bilinear, and some could be approximated accurately by bilinear processes under certain… (more)

Subjects/Keywords: Time-series analysis

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APA (6th Edition):

Tang, Z. (1987). Bilinear stochastic processes and time series. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/39933

Chicago Manual of Style (16th Edition):

Tang, Zhigiang. “Bilinear stochastic processes and time series.” 1987. Doctoral Dissertation, Oregon State University. Accessed April 16, 2021. http://hdl.handle.net/1957/39933.

MLA Handbook (7th Edition):

Tang, Zhigiang. “Bilinear stochastic processes and time series.” 1987. Web. 16 Apr 2021.

Vancouver:

Tang Z. Bilinear stochastic processes and time series. [Internet] [Doctoral dissertation]. Oregon State University; 1987. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1957/39933.

Council of Science Editors:

Tang Z. Bilinear stochastic processes and time series. [Doctoral Dissertation]. Oregon State University; 1987. Available from: http://hdl.handle.net/1957/39933


Oregon State University

18. Chen, Kuei-Lin. Performance evaluation and design of multiple time series based forecasting systems.

Degree: PhD, Industrial and General Engineering, 1976, Oregon State University

 The study evaluates performances of three multiple time series (MTS) forecasting methods; investigates possible improvements in MTS forecasting operations, and proposes a multiple time series(more)

Subjects/Keywords: Time-series analysis

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APA (6th Edition):

Chen, K. (1976). Performance evaluation and design of multiple time series based forecasting systems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/43755

Chicago Manual of Style (16th Edition):

Chen, Kuei-Lin. “Performance evaluation and design of multiple time series based forecasting systems.” 1976. Doctoral Dissertation, Oregon State University. Accessed April 16, 2021. http://hdl.handle.net/1957/43755.

MLA Handbook (7th Edition):

Chen, Kuei-Lin. “Performance evaluation and design of multiple time series based forecasting systems.” 1976. Web. 16 Apr 2021.

Vancouver:

Chen K. Performance evaluation and design of multiple time series based forecasting systems. [Internet] [Doctoral dissertation]. Oregon State University; 1976. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/1957/43755.

Council of Science Editors:

Chen K. Performance evaluation and design of multiple time series based forecasting systems. [Doctoral Dissertation]. Oregon State University; 1976. Available from: http://hdl.handle.net/1957/43755


Penn State University

19. Chattopadhyay, Pritthi. Data-Driven Modeling and Pattern Recognition of Dynamical Systems.

Degree: 2018, Penn State University

 Human-engineered complex systems need to be monitored consistently to ensure their safety and efficiency, which might be affected due to degradation over time or unanticipated… (more)

Subjects/Keywords: data-driven modeling; time series analysis

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APA (6th Edition):

Chattopadhyay, P. (2018). Data-Driven Modeling and Pattern Recognition of Dynamical Systems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15396pxc271

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):

Chattopadhyay, Pritthi. “Data-Driven Modeling and Pattern Recognition of Dynamical Systems.” 2018. Thesis, Penn State University. Accessed April 16, 2021. https://submit-etda.libraries.psu.edu/catalog/15396pxc271.

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

MLA Handbook (7th Edition):

Chattopadhyay, Pritthi. “Data-Driven Modeling and Pattern Recognition of Dynamical Systems.” 2018. Web. 16 Apr 2021.

Vancouver:

Chattopadhyay P. Data-Driven Modeling and Pattern Recognition of Dynamical Systems. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Apr 16]. Available from: https://submit-etda.libraries.psu.edu/catalog/15396pxc271.

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

Council of Science Editors:

Chattopadhyay P. Data-Driven Modeling and Pattern Recognition of Dynamical Systems. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15396pxc271

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


University of Waterloo

20. Perrie, Jonathan. Modelling Chart Trajectories using Song Features.

Degree: 2019, University of Waterloo

 Over the years, hit song science has been a controversial topic within music information retrieval. Researchers have debated whether an unbiased dataset can be constructed… (more)

Subjects/Keywords: Popular music; Time-series analysis; Machine learning

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APA (6th Edition):

Perrie, J. (2019). Modelling Chart Trajectories using Song Features. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14937

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):

Perrie, Jonathan. “Modelling Chart Trajectories using Song Features.” 2019. Thesis, University of Waterloo. Accessed April 16, 2021. http://hdl.handle.net/10012/14937.

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

MLA Handbook (7th Edition):

Perrie, Jonathan. “Modelling Chart Trajectories using Song Features.” 2019. Web. 16 Apr 2021.

Vancouver:

Perrie J. Modelling Chart Trajectories using Song Features. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10012/14937.

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

Council of Science Editors:

Perrie J. Modelling Chart Trajectories using Song Features. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14937

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


Nelson Mandela Metropolitan University

21. Van Niekerk, Bracken. Application of hidden Markov models and their extensions to animal movement data.

Degree: 2018, Nelson Mandela Metropolitan University

 Hidden Markov Models (HMMs) have become increasingly popular in animal movement studies as they provide a flexible modelling approach and take the correlation between successive… (more)

Subjects/Keywords: Markov processes; Animal locomotion; Time-series analysis

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APA (6th Edition):

Van Niekerk, B. (2018). Application of hidden Markov models and their extensions to animal movement data. (Thesis). Nelson Mandela Metropolitan University. Retrieved from http://hdl.handle.net/10948/23835

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):

Van Niekerk, Bracken. “Application of hidden Markov models and their extensions to animal movement data.” 2018. Thesis, Nelson Mandela Metropolitan University. Accessed April 16, 2021. http://hdl.handle.net/10948/23835.

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

MLA Handbook (7th Edition):

Van Niekerk, Bracken. “Application of hidden Markov models and their extensions to animal movement data.” 2018. Web. 16 Apr 2021.

Vancouver:

Van Niekerk B. Application of hidden Markov models and their extensions to animal movement data. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2018. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10948/23835.

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

Council of Science Editors:

Van Niekerk B. Application of hidden Markov models and their extensions to animal movement data. [Thesis]. Nelson Mandela Metropolitan University; 2018. Available from: http://hdl.handle.net/10948/23835

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


University of KwaZulu-Natal

22. Dralle, Bruce. Modelling volatility in financial time series.

Degree: MS, Statistics and actuarial science, 2011, University of KwaZulu-Natal

 The objective of this dissertation is to model the volatility of financial time series data using ARCH, GARCH and stochastic volatility models. It is found… (more)

Subjects/Keywords: Statistics and actuarial science.; Time-series analysis.

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APA (6th Edition):

Dralle, B. (2011). Modelling volatility in financial time series. (Masters Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/8504

Chicago Manual of Style (16th Edition):

Dralle, Bruce. “Modelling volatility in financial time series.” 2011. Masters Thesis, University of KwaZulu-Natal. Accessed April 16, 2021. http://hdl.handle.net/10413/8504.

MLA Handbook (7th Edition):

Dralle, Bruce. “Modelling volatility in financial time series.” 2011. Web. 16 Apr 2021.

Vancouver:

Dralle B. Modelling volatility in financial time series. [Internet] [Masters thesis]. University of KwaZulu-Natal; 2011. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/10413/8504.

Council of Science Editors:

Dralle B. Modelling volatility in financial time series. [Masters Thesis]. University of KwaZulu-Natal; 2011. Available from: http://hdl.handle.net/10413/8504


Delft University of Technology

23. Verhoeven, Vincent (author). Satellite-Based Analysis of Vegetation Trends in Europe.

Degree: 2020, Delft University of Technology

 The aim of this thesis project is to investigate the temporal changes of vegetation in Europe using statistical analysis and machine learning. A methodology is… (more)

Subjects/Keywords: NDVI; Vegetation; Satellite; Time Series Analysis; Classification

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APA (6th Edition):

Verhoeven, V. (. (2020). Satellite-Based Analysis of Vegetation Trends in Europe. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:952a33b0-e5dd-4228-a2a1-443210cf4f37

Chicago Manual of Style (16th Edition):

Verhoeven, Vincent (author). “Satellite-Based Analysis of Vegetation Trends in Europe.” 2020. Masters Thesis, Delft University of Technology. Accessed April 16, 2021. http://resolver.tudelft.nl/uuid:952a33b0-e5dd-4228-a2a1-443210cf4f37.

MLA Handbook (7th Edition):

Verhoeven, Vincent (author). “Satellite-Based Analysis of Vegetation Trends in Europe.” 2020. Web. 16 Apr 2021.

Vancouver:

Verhoeven V(. Satellite-Based Analysis of Vegetation Trends in Europe. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Apr 16]. Available from: http://resolver.tudelft.nl/uuid:952a33b0-e5dd-4228-a2a1-443210cf4f37.

Council of Science Editors:

Verhoeven V(. Satellite-Based Analysis of Vegetation Trends in Europe. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:952a33b0-e5dd-4228-a2a1-443210cf4f37


Baylor University

24. Agrawal, Mohit, 1985-. Multi Objective Optimization for Seismology (MOOS), with application to the Middle East, the Texas Gulf Coast, and the Rio Grande Rift.

Degree: PhD, Baylor University. Dept. of Geosciences., 2016, Baylor University

 We develop and apply new modeling methods that make use of disparate but complementary seismic “functionals,” such as receiver functions and dispersion curves, and model… (more)

Subjects/Keywords: Time-series analysis. Inverse theory. Geophysics.

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APA (6th Edition):

Agrawal, Mohit, 1. (2016). Multi Objective Optimization for Seismology (MOOS), with application to the Middle East, the Texas Gulf Coast, and the Rio Grande Rift. (Doctoral Dissertation). Baylor University. Retrieved from http://hdl.handle.net/2104/9653

Chicago Manual of Style (16th Edition):

Agrawal, Mohit, 1985-. “Multi Objective Optimization for Seismology (MOOS), with application to the Middle East, the Texas Gulf Coast, and the Rio Grande Rift.” 2016. Doctoral Dissertation, Baylor University. Accessed April 16, 2021. http://hdl.handle.net/2104/9653.

MLA Handbook (7th Edition):

Agrawal, Mohit, 1985-. “Multi Objective Optimization for Seismology (MOOS), with application to the Middle East, the Texas Gulf Coast, and the Rio Grande Rift.” 2016. Web. 16 Apr 2021.

Vancouver:

Agrawal, Mohit 1. Multi Objective Optimization for Seismology (MOOS), with application to the Middle East, the Texas Gulf Coast, and the Rio Grande Rift. [Internet] [Doctoral dissertation]. Baylor University; 2016. [cited 2021 Apr 16]. Available from: http://hdl.handle.net/2104/9653.

Council of Science Editors:

Agrawal, Mohit 1. Multi Objective Optimization for Seismology (MOOS), with application to the Middle East, the Texas Gulf Coast, and the Rio Grande Rift. [Doctoral Dissertation]. Baylor University; 2016. Available from: http://hdl.handle.net/2104/9653


Columbia University

25. Paparrizos, Ioannis. Fast, Scalable, and Accurate Algorithms for Time-Series Analysis.

Degree: 2018, Columbia University

Time is a critical element for the understanding of natural processes (e.g., earthquakes and weather) or human-made artifacts (e.g., stock market and speech signals). The… (more)

Subjects/Keywords: Computer science; Algorithms; Time-series analysis

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APA (6th Edition):

Paparrizos, I. (2018). Fast, Scalable, and Accurate Algorithms for Time-Series Analysis. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D80K3S4B

Chicago Manual of Style (16th Edition):

Paparrizos, Ioannis. “Fast, Scalable, and Accurate Algorithms for Time-Series Analysis.” 2018. Doctoral Dissertation, Columbia University. Accessed April 16, 2021. https://doi.org/10.7916/D80K3S4B.

MLA Handbook (7th Edition):

Paparrizos, Ioannis. “Fast, Scalable, and Accurate Algorithms for Time-Series Analysis.” 2018. Web. 16 Apr 2021.

Vancouver:

Paparrizos I. Fast, Scalable, and Accurate Algorithms for Time-Series Analysis. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2021 Apr 16]. Available from: https://doi.org/10.7916/D80K3S4B.

Council of Science Editors:

Paparrizos I. Fast, Scalable, and Accurate Algorithms for Time-Series Analysis. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D80K3S4B


Columbia University

26. Zhang, Jing. Time Series Modeling with Shape Constraints.

Degree: 2017, Columbia University

 This thesis focuses on the development of semiparametric estimation methods for a class of time series models using shape constraints. Many of the existing time(more)

Subjects/Keywords: Statistics; Time-series analysis – Mathematical models

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APA (6th Edition):

Zhang, J. (2017). Time Series Modeling with Shape Constraints. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D84X5M55

Chicago Manual of Style (16th Edition):

Zhang, Jing. “Time Series Modeling with Shape Constraints.” 2017. Doctoral Dissertation, Columbia University. Accessed April 16, 2021. https://doi.org/10.7916/D84X5M55.

MLA Handbook (7th Edition):

Zhang, Jing. “Time Series Modeling with Shape Constraints.” 2017. Web. 16 Apr 2021.

Vancouver:

Zhang J. Time Series Modeling with Shape Constraints. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2021 Apr 16]. Available from: https://doi.org/10.7916/D84X5M55.

Council of Science Editors:

Zhang J. Time Series Modeling with Shape Constraints. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D84X5M55


Michigan State University

27. Shin, Yongcheol. Testing economic time series for stationarity and nonstationarity.

Degree: PhD, Department of Economics, 1992, Michigan State University

Subjects/Keywords: Time-series analysis

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APA (6th Edition):

Shin, Y. (1992). Testing economic time series for stationarity and nonstationarity. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:24661

Chicago Manual of Style (16th Edition):

Shin, Yongcheol. “Testing economic time series for stationarity and nonstationarity.” 1992. Doctoral Dissertation, Michigan State University. Accessed April 16, 2021. http://etd.lib.msu.edu/islandora/object/etd:24661.

MLA Handbook (7th Edition):

Shin, Yongcheol. “Testing economic time series for stationarity and nonstationarity.” 1992. Web. 16 Apr 2021.

Vancouver:

Shin Y. Testing economic time series for stationarity and nonstationarity. [Internet] [Doctoral dissertation]. Michigan State University; 1992. [cited 2021 Apr 16]. Available from: http://etd.lib.msu.edu/islandora/object/etd:24661.

Council of Science Editors:

Shin Y. Testing economic time series for stationarity and nonstationarity. [Doctoral Dissertation]. Michigan State University; 1992. Available from: http://etd.lib.msu.edu/islandora/object/etd:24661


Michigan State University

28. Tieslau, Margie A. Strongly dependent economic time series : theory and applications.

Degree: PhD, Department of Economics, 1992, Michigan State University

Subjects/Keywords: Time-series analysis

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APA (6th Edition):

Tieslau, M. A. (1992). Strongly dependent economic time series : theory and applications. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:24678

Chicago Manual of Style (16th Edition):

Tieslau, Margie A. “Strongly dependent economic time series : theory and applications.” 1992. Doctoral Dissertation, Michigan State University. Accessed April 16, 2021. http://etd.lib.msu.edu/islandora/object/etd:24678.

MLA Handbook (7th Edition):

Tieslau, Margie A. “Strongly dependent economic time series : theory and applications.” 1992. Web. 16 Apr 2021.

Vancouver:

Tieslau MA. Strongly dependent economic time series : theory and applications. [Internet] [Doctoral dissertation]. Michigan State University; 1992. [cited 2021 Apr 16]. Available from: http://etd.lib.msu.edu/islandora/object/etd:24678.

Council of Science Editors:

Tieslau MA. Strongly dependent economic time series : theory and applications. [Doctoral Dissertation]. Michigan State University; 1992. Available from: http://etd.lib.msu.edu/islandora/object/etd:24678


Michigan State University

29. Hwang, Jaeyoun. GLS detrending and the power of unit root and stationarity tests.

Degree: PhD, Department of Economics, 1993, Michigan State University

Subjects/Keywords: Time-series analysis

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APA (6th Edition):

Hwang, J. (1993). GLS detrending and the power of unit root and stationarity tests. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:23087

Chicago Manual of Style (16th Edition):

Hwang, Jaeyoun. “GLS detrending and the power of unit root and stationarity tests.” 1993. Doctoral Dissertation, Michigan State University. Accessed April 16, 2021. http://etd.lib.msu.edu/islandora/object/etd:23087.

MLA Handbook (7th Edition):

Hwang, Jaeyoun. “GLS detrending and the power of unit root and stationarity tests.” 1993. Web. 16 Apr 2021.

Vancouver:

Hwang J. GLS detrending and the power of unit root and stationarity tests. [Internet] [Doctoral dissertation]. Michigan State University; 1993. [cited 2021 Apr 16]. Available from: http://etd.lib.msu.edu/islandora/object/etd:23087.

Council of Science Editors:

Hwang J. GLS detrending and the power of unit root and stationarity tests. [Doctoral Dissertation]. Michigan State University; 1993. Available from: http://etd.lib.msu.edu/islandora/object/etd:23087


Michigan State University

30. Lee, Dongin. Asymtotic theory for long-memory time series.

Degree: PhD, Department of Economics, 1994, Michigan State University

Subjects/Keywords: Time-series analysis

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APA (6th Edition):

Lee, D. (1994). Asymtotic theory for long-memory time series. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:24512

Chicago Manual of Style (16th Edition):

Lee, Dongin. “Asymtotic theory for long-memory time series.” 1994. Doctoral Dissertation, Michigan State University. Accessed April 16, 2021. http://etd.lib.msu.edu/islandora/object/etd:24512.

MLA Handbook (7th Edition):

Lee, Dongin. “Asymtotic theory for long-memory time series.” 1994. Web. 16 Apr 2021.

Vancouver:

Lee D. Asymtotic theory for long-memory time series. [Internet] [Doctoral dissertation]. Michigan State University; 1994. [cited 2021 Apr 16]. Available from: http://etd.lib.msu.edu/islandora/object/etd:24512.

Council of Science Editors:

Lee D. Asymtotic theory for long-memory time series. [Doctoral Dissertation]. Michigan State University; 1994. Available from: http://etd.lib.msu.edu/islandora/object/etd:24512

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