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You searched for subject:(Time series analysis ). Showing records 1 – 30 of 109563 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 June 04, 2020. 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. 04 Jun 2020.

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 2020 Jun 04]. 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 June 04, 2020. http://hdl.handle.net/10210/4275.

MLA Handbook (7th Edition):

Human, Johannes Urbanus. “Some aspects of harmonic time series analysis.” 2012. Web. 04 Jun 2020.

Vancouver:

Human JU. Some aspects of harmonic time series analysis. [Internet] [Doctoral dissertation]. University of Johannesburg; 2012. [cited 2020 Jun 04]. 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 June 04, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555001297904158.

MLA Handbook (7th Edition):

Michel, Jonathan R. “Essays in Nonlinear Time Series Analysis.” 2019. Web. 04 Jun 2020.

Vancouver:

Michel JR. Essays in Nonlinear Time Series Analysis. [Internet] [Doctoral dissertation]. The Ohio State University; 2019. [cited 2020 Jun 04]. 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 June 04, 2020. 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. 04 Jun 2020.

Vancouver:

Mlambo FF. Good's casualty for time series: a regime-switching framework. [Internet] [Thesis]. Nelson Mandela Metropolitan University; 2014. [cited 2020 Jun 04]. 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


Queens University

5. 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 June 04, 2020. 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. 04 Jun 2020.

Vancouver:

Rahim K. Applications of Multitaper Spectral Analysis to Nonstationary Data . [Internet] [Thesis]. Queens University; 2014. [cited 2020 Jun 04]. 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


Rutgers University

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

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 June 04, 2020. 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. 04 Jun 2020.

Vancouver:

Liu, Xialu 1. New models and methods for time series analysis in big data era. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Jun 04]. 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

7. 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 June 04, 2020. 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. 04 Jun 2020.

Vancouver:

Chang K. Topics in compositional, seasonal and spatial-temporal time series. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2020 Jun 04]. 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/


Hong Kong University of Science and Technology

8. 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 June 04, 2020. 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. 04 Jun 2020.

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 2020 Jun 04]. 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


Colorado State University

9. Saldarriaga, Jaime. Investigation of wet and dry years by runs.

Degree: PhD, Civil Engineering, 2017, Colorado State University

 A technique is advanced for testing the structure of time series, with the basic statistical parameter being the mean run-length. This technique is shown to… (more)

Subjects/Keywords: Time-series analysis; Hydrology; Runoff

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APA (6th Edition):

Saldarriaga, J. (2017). Investigation of wet and dry years by runs. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/183822

Chicago Manual of Style (16th Edition):

Saldarriaga, Jaime. “Investigation of wet and dry years by runs.” 2017. Doctoral Dissertation, Colorado State University. Accessed June 04, 2020. http://hdl.handle.net/10217/183822.

MLA Handbook (7th Edition):

Saldarriaga, Jaime. “Investigation of wet and dry years by runs.” 2017. Web. 04 Jun 2020.

Vancouver:

Saldarriaga J. Investigation of wet and dry years by runs. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2020 Jun 04]. Available from: http://hdl.handle.net/10217/183822.

Council of Science Editors:

Saldarriaga J. Investigation of wet and dry years by runs. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/183822


Columbia University

10. 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 (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 June 04, 2020. https://doi.org/10.7916/d8-yfg6-4971.

MLA Handbook (7th Edition):

Yousuf, Kashif. “Essays in High Dimensional Time Series Analysis.” 2019. Web. 04 Jun 2020.

Vancouver:

Yousuf K. Essays in High Dimensional Time Series Analysis. [Internet] [Doctoral dissertation]. Columbia University; 2019. [cited 2020 Jun 04]. 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


University of Aberdeen

11. Sayah, Mukthar. Nonlinear time series analysis applied to resonance enhanced drilling.

Degree: PhD, 2015, University of Aberdeen

 In order to optimise the Resonance Enhanced Drilling (RED) performance in different rock formations, it is important to understand both the influence of the system… (more)

Subjects/Keywords: Boring; Boring machinery; Time-series analysis

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APA (6th Edition):

Sayah, M. (2015). Nonlinear time series analysis applied to resonance enhanced drilling. (Doctoral Dissertation). University of Aberdeen. Retrieved from http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=227011 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.655682

Chicago Manual of Style (16th Edition):

Sayah, Mukthar. “Nonlinear time series analysis applied to resonance enhanced drilling.” 2015. Doctoral Dissertation, University of Aberdeen. Accessed June 04, 2020. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=227011 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.655682.

MLA Handbook (7th Edition):

Sayah, Mukthar. “Nonlinear time series analysis applied to resonance enhanced drilling.” 2015. Web. 04 Jun 2020.

Vancouver:

Sayah M. Nonlinear time series analysis applied to resonance enhanced drilling. [Internet] [Doctoral dissertation]. University of Aberdeen; 2015. [cited 2020 Jun 04]. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=227011 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.655682.

Council of Science Editors:

Sayah M. Nonlinear time series analysis applied to resonance enhanced drilling. [Doctoral Dissertation]. University of Aberdeen; 2015. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=227011 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.655682


Ryerson University

12. 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 June 04, 2020. 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. 04 Jun 2020.

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 2020 Jun 04]. 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

13. 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 June 04, 2020. 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. 04 Jun 2020.

Vancouver:

Ghoraani B. Time-Frequency Feature Analysis. [Internet] [Thesis]. Ryerson University; 2010. [cited 2020 Jun 04]. 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

14. 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 June 04, 2020. 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. 04 Jun 2020.

Vancouver:

Robb LJ. Estimation of the order of an autoregressive time series : a Bayesian approach. [Internet] [Doctoral dissertation]. Oregon State University; 1979. [cited 2020 Jun 04]. 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

15. 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 June 04, 2020. http://hdl.handle.net/1957/39933.

MLA Handbook (7th Edition):

Tang, Zhigiang. “Bilinear stochastic processes and time series.” 1987. Web. 04 Jun 2020.

Vancouver:

Tang Z. Bilinear stochastic processes and time series. [Internet] [Doctoral dissertation]. Oregon State University; 1987. [cited 2020 Jun 04]. 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

16. 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 June 04, 2020. 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. 04 Jun 2020.

Vancouver:

Chen K. Performance evaluation and design of multiple time series based forecasting systems. [Internet] [Doctoral dissertation]. Oregon State University; 1976. [cited 2020 Jun 04]. 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

17. 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 ensuretheir safety and efficiency, which might be affected due to degradation over timeor unanticipated disturbances. For… (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://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 June 04, 2020. https://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. 04 Jun 2020.

Vancouver:

Chattopadhyay P. Data-Driven Modeling and Pattern Recognition of Dynamical Systems. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Jun 04]. Available from: https://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://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

18. 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 June 04, 2020. 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. 04 Jun 2020.

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 2020 Jun 04]. 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.


University of Oxford

19. Gryte, Kristofer. Analysis methods for single molecule fluorescence spectroscopy.

Degree: PhD, 2012, University of Oxford

 This thesis describes signal analysis methods for single-molecule fluorescence data. The primary factor motivating method development is the need to distinguish single-molecule FRET fluctuations due… (more)

Subjects/Keywords: 543.56; Biophysics; Time-Series Analysis; confocal; Photophysics

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

APA (6th Edition):

Gryte, K. (2012). Analysis methods for single molecule fluorescence spectroscopy. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:148969c6-78aa-49c2-8f0e-2d5e5018fd98 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581115

Chicago Manual of Style (16th Edition):

Gryte, Kristofer. “Analysis methods for single molecule fluorescence spectroscopy.” 2012. Doctoral Dissertation, University of Oxford. Accessed June 04, 2020. http://ora.ox.ac.uk/objects/uuid:148969c6-78aa-49c2-8f0e-2d5e5018fd98 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581115.

MLA Handbook (7th Edition):

Gryte, Kristofer. “Analysis methods for single molecule fluorescence spectroscopy.” 2012. Web. 04 Jun 2020.

Vancouver:

Gryte K. Analysis methods for single molecule fluorescence spectroscopy. [Internet] [Doctoral dissertation]. University of Oxford; 2012. [cited 2020 Jun 04]. Available from: http://ora.ox.ac.uk/objects/uuid:148969c6-78aa-49c2-8f0e-2d5e5018fd98 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581115.

Council of Science Editors:

Gryte K. Analysis methods for single molecule fluorescence spectroscopy. [Doctoral Dissertation]. University of Oxford; 2012. Available from: http://ora.ox.ac.uk/objects/uuid:148969c6-78aa-49c2-8f0e-2d5e5018fd98 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581115


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

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 June 04, 2020. 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. 04 Jun 2020.

Vancouver:

Perrie J. Modelling Chart Trajectories using Song Features. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Jun 04]. 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


Columbia University

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

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 June 04, 2020. https://doi.org/10.7916/D80K3S4B.

MLA Handbook (7th Edition):

Paparrizos, Ioannis. “Fast, Scalable, and Accurate Algorithms for Time-Series Analysis.” 2018. Web. 04 Jun 2020.

Vancouver:

Paparrizos I. Fast, Scalable, and Accurate Algorithms for Time-Series Analysis. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2020 Jun 04]. 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

22. 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 June 04, 2020. https://doi.org/10.7916/D84X5M55.

MLA Handbook (7th Edition):

Zhang, Jing. “Time Series Modeling with Shape Constraints.” 2017. Web. 04 Jun 2020.

Vancouver:

Zhang J. Time Series Modeling with Shape Constraints. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2020 Jun 04]. 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


University of Cambridge

23. Hong, Seok Young. Nonparametric methods in financial time series analysis.

Degree: PhD, 2018, University of Cambridge

 The fundamental objective of the analysis of financial time series is to unveil the random mechanism, i.e. the probability law, underlying financial data. The effort… (more)

Subjects/Keywords: Financial Econometrics; Time Series Analysis; Nonparametric Methods

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

APA (6th Edition):

Hong, S. Y. (2018). Nonparametric methods in financial time series analysis. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/283218 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763611

Chicago Manual of Style (16th Edition):

Hong, Seok Young. “Nonparametric methods in financial time series analysis.” 2018. Doctoral Dissertation, University of Cambridge. Accessed June 04, 2020. https://www.repository.cam.ac.uk/handle/1810/283218 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763611.

MLA Handbook (7th Edition):

Hong, Seok Young. “Nonparametric methods in financial time series analysis.” 2018. Web. 04 Jun 2020.

Vancouver:

Hong SY. Nonparametric methods in financial time series analysis. [Internet] [Doctoral dissertation]. University of Cambridge; 2018. [cited 2020 Jun 04]. Available from: https://www.repository.cam.ac.uk/handle/1810/283218 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763611.

Council of Science Editors:

Hong SY. Nonparametric methods in financial time series analysis. [Doctoral Dissertation]. University of Cambridge; 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/283218 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763611


Rutgers University

24. Chen, Shuhao, 1984-. On order identification of time series models and its applications.

Degree: PhD, Statistics and Biostatistics, 2011, Rutgers University

My thesis focuses on the order identification schemes of the widely-used time series model - Autoregressive Integrated Moving-Average (ARIMA) model and the applications of the… (more)

Subjects/Keywords: Time-series analysis; Seasonal variations (Economics); Stocks

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

APA (6th Edition):

Chen, Shuhao, 1. (2011). On order identification of time series models and its applications. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061606

Chicago Manual of Style (16th Edition):

Chen, Shuhao, 1984-. “On order identification of time series models and its applications.” 2011. Doctoral Dissertation, Rutgers University. Accessed June 04, 2020. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061606.

MLA Handbook (7th Edition):

Chen, Shuhao, 1984-. “On order identification of time series models and its applications.” 2011. Web. 04 Jun 2020.

Vancouver:

Chen, Shuhao 1. On order identification of time series models and its applications. [Internet] [Doctoral dissertation]. Rutgers University; 2011. [cited 2020 Jun 04]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061606.

Council of Science Editors:

Chen, Shuhao 1. On order identification of time series models and its applications. [Doctoral Dissertation]. Rutgers University; 2011. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000061606


Baylor University

25. 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 June 04, 2020. 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. 04 Jun 2020.

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 2020 Jun 04]. 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


Simon Fraser University

26. Finch, David Ian. Modifications to the theory of the flow of events a study of the effect of the groupinq of events in finite intervals of time.  – .

Degree: 1972, Simon Fraser University

Subjects/Keywords: Time  – series analysis.

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APA (6th Edition):

Finch, D. I. (1972). Modifications to the theory of the flow of events a study of the effect of the groupinq of events in finite intervals of time.  – . (Thesis). Simon Fraser University. Retrieved from http://summit.sfu.ca/item/4157

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):

Finch, David Ian. “Modifications to the theory of the flow of events a study of the effect of the groupinq of events in finite intervals of time.  – .” 1972. Thesis, Simon Fraser University. Accessed June 04, 2020. http://summit.sfu.ca/item/4157.

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

MLA Handbook (7th Edition):

Finch, David Ian. “Modifications to the theory of the flow of events a study of the effect of the groupinq of events in finite intervals of time.  – .” 1972. Web. 04 Jun 2020.

Vancouver:

Finch DI. Modifications to the theory of the flow of events a study of the effect of the groupinq of events in finite intervals of time.  – . [Internet] [Thesis]. Simon Fraser University; 1972. [cited 2020 Jun 04]. Available from: http://summit.sfu.ca/item/4157.

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

Council of Science Editors:

Finch DI. Modifications to the theory of the flow of events a study of the effect of the groupinq of events in finite intervals of time.  – . [Thesis]. Simon Fraser University; 1972. Available from: http://summit.sfu.ca/item/4157

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


Michigan State University

27. Lee, Hyung Seung. Analysis of economic time series with long memory.

Degree: PhD, Department of Economics, 1995, Michigan State University

Subjects/Keywords: Time-series analysis

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

APA (6th Edition):

Lee, H. S. (1995). Analysis of economic time series with long memory. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:29744

Chicago Manual of Style (16th Edition):

Lee, Hyung Seung. “Analysis of economic time series with long memory.” 1995. Doctoral Dissertation, Michigan State University. Accessed June 04, 2020. http://etd.lib.msu.edu/islandora/object/etd:29744.

MLA Handbook (7th Edition):

Lee, Hyung Seung. “Analysis of economic time series with long memory.” 1995. Web. 04 Jun 2020.

Vancouver:

Lee HS. Analysis of economic time series with long memory. [Internet] [Doctoral dissertation]. Michigan State University; 1995. [cited 2020 Jun 04]. Available from: http://etd.lib.msu.edu/islandora/object/etd:29744.

Council of Science Editors:

Lee HS. Analysis of economic time series with long memory. [Doctoral Dissertation]. Michigan State University; 1995. Available from: http://etd.lib.msu.edu/islandora/object/etd:29744


Michigan State University

28. Nawaz, Nasreen. Essays in time series econometrics.

Degree: 2015, Michigan State University

 In the first chapter, We focus on the estimation of the ratio of trend slopes between two time series where is it reasonable to assume… (more)

Subjects/Keywords: Econometrics – Asymptotic theory; Time-series analysis; Economics

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APA (6th Edition):

Nawaz, N. (2015). Essays in time series econometrics. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:3098

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):

Nawaz, Nasreen. “Essays in time series econometrics.” 2015. Thesis, Michigan State University. Accessed June 04, 2020. http://etd.lib.msu.edu/islandora/object/etd:3098.

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

MLA Handbook (7th Edition):

Nawaz, Nasreen. “Essays in time series econometrics.” 2015. Web. 04 Jun 2020.

Vancouver:

Nawaz N. Essays in time series econometrics. [Internet] [Thesis]. Michigan State University; 2015. [cited 2020 Jun 04]. Available from: http://etd.lib.msu.edu/islandora/object/etd:3098.

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

Council of Science Editors:

Nawaz N. Essays in time series econometrics. [Thesis]. Michigan State University; 2015. Available from: http://etd.lib.msu.edu/islandora/object/etd:3098

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


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 June 04, 2020. 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. 04 Jun 2020.

Vancouver:

Hwang J. GLS detrending and the power of unit root and stationarity tests. [Internet] [Doctoral dissertation]. Michigan State University; 1993. [cited 2020 Jun 04]. 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 June 04, 2020. http://etd.lib.msu.edu/islandora/object/etd:24512.

MLA Handbook (7th Edition):

Lee, Dongin. “Asymtotic theory for long-memory time series.” 1994. Web. 04 Jun 2020.

Vancouver:

Lee D. Asymtotic theory for long-memory time series. [Internet] [Doctoral dissertation]. Michigan State University; 1994. [cited 2020 Jun 04]. 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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