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You searched for subject:(Time series models). Showing records 1 – 30 of 372 total matches.

[1] [2] [3] [4] [5] … [13]

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Hong Kong University of Science and Technology

1. 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 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 August 19, 2019. 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. 19 Aug 2019.

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 2019 Aug 19]. Available from: 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: 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


McMaster University

2. Roick, Tyler. Clustering Discrete Valued Time Series.

Degree: MSc, 2017, McMaster University

There is a need for the development of models that are able to account for discreteness in data, along with its time series properties and… (more)

Subjects/Keywords: Clustering; Mixture Models; Discrete Valued Time Series

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APA (6th Edition):

Roick, T. (2017). Clustering Discrete Valued Time Series. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/22275

Chicago Manual of Style (16th Edition):

Roick, Tyler. “Clustering Discrete Valued Time Series.” 2017. Masters Thesis, McMaster University. Accessed August 19, 2019. http://hdl.handle.net/11375/22275.

MLA Handbook (7th Edition):

Roick, Tyler. “Clustering Discrete Valued Time Series.” 2017. Web. 19 Aug 2019.

Vancouver:

Roick T. Clustering Discrete Valued Time Series. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/11375/22275.

Council of Science Editors:

Roick T. Clustering Discrete Valued Time Series. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/22275


University of Georgia

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

Degree: MS, Statistics, 2018, University of Georgia

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Patterson, Courtney. “A statistical analysis of crime in San Luis Obispo (2009-2017).” 2018. Masters Thesis, University of Georgia. Accessed August 19, 2019. http://hdl.handle.net/10724/38497.

MLA Handbook (7th Edition):

Patterson, Courtney. “A statistical analysis of crime in San Luis Obispo (2009-2017).” 2018. Web. 19 Aug 2019.

Vancouver:

Patterson C. A statistical analysis of crime in San Luis Obispo (2009-2017). [Internet] [Masters thesis]. University of Georgia; 2018. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/10724/38497.

Council of Science Editors:

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


Columbia University

4. 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 August 19, 2019. https://doi.org/10.7916/D84X5M55.

MLA Handbook (7th Edition):

Zhang, Jing. “Time Series Modeling with Shape Constraints.” 2017. Web. 19 Aug 2019.

Vancouver:

Zhang J. Time Series Modeling with Shape Constraints. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2019 Aug 19]. 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


NSYSU

5. Lu , Tzu_Hsuan. The trend analysis of fine suspended particulate concentration data.

Degree: Master, Applied Mathematics, 2014, NSYSU

 Fine suspended particulates (PM2.5) are the suspended particulate with particle size less than 2.5 μ m/m3. They go deep into the lungs easily and through… (more)

Subjects/Keywords: linear regression analysis; factor analysis; Control charts of time series; time series models

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APA (6th Edition):

Lu , T. (2014). The trend analysis of fine suspended particulate concentration data. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0607114-123406

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):

Lu , Tzu_Hsuan. “The trend analysis of fine suspended particulate concentration data.” 2014. Thesis, NSYSU. Accessed August 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0607114-123406.

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

MLA Handbook (7th Edition):

Lu , Tzu_Hsuan. “The trend analysis of fine suspended particulate concentration data.” 2014. Web. 19 Aug 2019.

Vancouver:

Lu T. The trend analysis of fine suspended particulate concentration data. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Aug 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0607114-123406.

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

Council of Science Editors:

Lu T. The trend analysis of fine suspended particulate concentration data. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0607114-123406

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

6. Zhu, Ke. On the LAD estimation and likelihood ratio test for time series models.

Degree: 2011, Hong Kong University of Science and Technology

 This thesis proposes the global self-weighted least absolute deviation (LAD) estimator for finite and infinite variance ARMA models and the global self-weighted quasi-maximum exponential likelihood… (more)

Subjects/Keywords: Time-series analysis  – Mathematical models; Estimation theory  – Mathematical models; Mathematical statistics

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APA (6th Edition):

Zhu, K. (2011). On the LAD estimation and likelihood ratio test for time series models. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1129756 ; http://repository.ust.hk/ir/bitstream/1783.1-7083/1/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):

Zhu, Ke. “On the LAD estimation and likelihood ratio test for time series models.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed August 19, 2019. https://doi.org/10.14711/thesis-b1129756 ; http://repository.ust.hk/ir/bitstream/1783.1-7083/1/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):

Zhu, Ke. “On the LAD estimation and likelihood ratio test for time series models.” 2011. Web. 19 Aug 2019.

Vancouver:

Zhu K. On the LAD estimation and likelihood ratio test for time series models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2019 Aug 19]. Available from: https://doi.org/10.14711/thesis-b1129756 ; http://repository.ust.hk/ir/bitstream/1783.1-7083/1/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:

Zhu K. On the LAD estimation and likelihood ratio test for time series models. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: https://doi.org/10.14711/thesis-b1129756 ; http://repository.ust.hk/ir/bitstream/1783.1-7083/1/th_redirect.html

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


Ryerson University

7. Zhu, He. Analysis of the dependence structure for time series of hedge funds returns.

Degree: 2011, Ryerson University

 The aim of the thesis is to emphasize the different dependence measures beyond the well known Pearson correlation. The study is developed in the setting… (more)

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

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APA (6th Edition):

Zhu, H. (2011). Analysis of the dependence structure for time series of hedge funds returns. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A988

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):

Zhu, He. “Analysis of the dependence structure for time series of hedge funds returns.” 2011. Thesis, Ryerson University. Accessed August 19, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A988.

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

MLA Handbook (7th Edition):

Zhu, He. “Analysis of the dependence structure for time series of hedge funds returns.” 2011. Web. 19 Aug 2019.

Vancouver:

Zhu H. Analysis of the dependence structure for time series of hedge funds returns. [Internet] [Thesis]. Ryerson University; 2011. [cited 2019 Aug 19]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A988.

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

Council of Science Editors:

Zhu H. Analysis of the dependence structure for time series of hedge funds returns. [Thesis]. Ryerson University; 2011. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A988

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


University of Manitoba

8. Ong, Li Kee. Correlation between American mortality and DJIA index price.

Degree: Management, 2016, University of Manitoba

 For an equity-linked insurance, the death benefit is linked to the performance of the company’s investment portfolio. Hence, both mortality risk and equity return shall… (more)

Subjects/Keywords: Mortality; Time series models; Outlier models; Copulas; Equity-linked Securities

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APA (6th Edition):

Ong, L. K. (2016). Correlation between American mortality and DJIA index price. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/31746

Chicago Manual of Style (16th Edition):

Ong, Li Kee. “Correlation between American mortality and DJIA index price.” 2016. Masters Thesis, University of Manitoba. Accessed August 19, 2019. http://hdl.handle.net/1993/31746.

MLA Handbook (7th Edition):

Ong, Li Kee. “Correlation between American mortality and DJIA index price.” 2016. Web. 19 Aug 2019.

Vancouver:

Ong LK. Correlation between American mortality and DJIA index price. [Internet] [Masters thesis]. University of Manitoba; 2016. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/1993/31746.

Council of Science Editors:

Ong LK. Correlation between American mortality and DJIA index price. [Masters Thesis]. University of Manitoba; 2016. Available from: http://hdl.handle.net/1993/31746


University of New South Wales

9. He, Jieyi. Detecting and Modelling Serial Dependence in non-Gaussian and non-linear Time Series.

Degree: Mathematics & Statistics, 2016, University of New South Wales

 Discrete time series data is seen in a wide variety of disciplines including biology, medicine, psychology, criminology and economics. However, traditional methods of detecting serial… (more)

Subjects/Keywords: Observation Driven Models; Binomial Time Series; Serial Dependence; Parameter Driven Models

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APA (6th Edition):

He, J. (2016). Detecting and Modelling Serial Dependence in non-Gaussian and non-linear Time Series. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/55689 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:38502/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

He, Jieyi. “Detecting and Modelling Serial Dependence in non-Gaussian and non-linear Time Series.” 2016. Doctoral Dissertation, University of New South Wales. Accessed August 19, 2019. http://handle.unsw.edu.au/1959.4/55689 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:38502/SOURCE02?view=true.

MLA Handbook (7th Edition):

He, Jieyi. “Detecting and Modelling Serial Dependence in non-Gaussian and non-linear Time Series.” 2016. Web. 19 Aug 2019.

Vancouver:

He J. Detecting and Modelling Serial Dependence in non-Gaussian and non-linear Time Series. [Internet] [Doctoral dissertation]. University of New South Wales; 2016. [cited 2019 Aug 19]. Available from: http://handle.unsw.edu.au/1959.4/55689 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:38502/SOURCE02?view=true.

Council of Science Editors:

He J. Detecting and Modelling Serial Dependence in non-Gaussian and non-linear Time Series. [Doctoral Dissertation]. University of New South Wales; 2016. Available from: http://handle.unsw.edu.au/1959.4/55689 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:38502/SOURCE02?view=true


Drexel University

10. Liu, Shunlian. Well-posedness of hydroelastic waves and their truncated series models.

Degree: 2016, Drexel University

We study hydroelastic waves in two-dimensional irrotational, incompressible fluids. Each fluid is taken to be of infinite extent in one vertical direction, and bounded by… (more)

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

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APA (6th Edition):

Liu, S. (2016). Well-posedness of hydroelastic waves and their truncated series models. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:7743

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):

Liu, Shunlian. “Well-posedness of hydroelastic waves and their truncated series models.” 2016. Thesis, Drexel University. Accessed August 19, 2019. http://hdl.handle.net/1860/idea:7743.

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

MLA Handbook (7th Edition):

Liu, Shunlian. “Well-posedness of hydroelastic waves and their truncated series models.” 2016. Web. 19 Aug 2019.

Vancouver:

Liu S. Well-posedness of hydroelastic waves and their truncated series models. [Internet] [Thesis]. Drexel University; 2016. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/1860/idea:7743.

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

Council of Science Editors:

Liu S. Well-posedness of hydroelastic waves and their truncated series models. [Thesis]. Drexel University; 2016. Available from: http://hdl.handle.net/1860/idea:7743

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


North-West University

11. Kruger, Albertus Stephanus. An investigation into the use of combined linear and neural network models for time series data / A.S. Kruger.

Degree: 2009, North-West University

Time series forecasting is an important area of forecasting in which past observations of the same variable are collected and analyzed to develop a model… (more)

Subjects/Keywords: Time series; Forecasting; Linear models; Neural networks; Hybrid models

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APA (6th Edition):

Kruger, A. S. (2009). An investigation into the use of combined linear and neural network models for time series data / A.S. Kruger. (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/4782

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):

Kruger, Albertus Stephanus. “An investigation into the use of combined linear and neural network models for time series data / A.S. Kruger. ” 2009. Thesis, North-West University. Accessed August 19, 2019. http://hdl.handle.net/10394/4782.

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

MLA Handbook (7th Edition):

Kruger, Albertus Stephanus. “An investigation into the use of combined linear and neural network models for time series data / A.S. Kruger. ” 2009. Web. 19 Aug 2019.

Vancouver:

Kruger AS. An investigation into the use of combined linear and neural network models for time series data / A.S. Kruger. [Internet] [Thesis]. North-West University; 2009. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/10394/4782.

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

Council of Science Editors:

Kruger AS. An investigation into the use of combined linear and neural network models for time series data / A.S. Kruger. [Thesis]. North-West University; 2009. Available from: http://hdl.handle.net/10394/4782

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


University of Florida

12. Savenkov, Oleksandr. Novel Methods for Time Series Data in Clinical Studies.

Degree: PhD, Statistics, 2012, University of Florida

 Single subject or n-of-1 research designs have been widely used to evaluate treatment interventions. Many statistical procedures, such as: split-middle trend lines, regression trend line,… (more)

Subjects/Keywords: Autocorrelation; Autoregressive moving average; Data lines; False positive errors; Modeling; Permutation tests; Statistical models; Statistics; Time series; Time series models; design  – series  – single  – subject  – time

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APA (6th Edition):

Savenkov, O. (2012). Novel Methods for Time Series Data in Clinical Studies. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044593

Chicago Manual of Style (16th Edition):

Savenkov, Oleksandr. “Novel Methods for Time Series Data in Clinical Studies.” 2012. Doctoral Dissertation, University of Florida. Accessed August 19, 2019. http://ufdc.ufl.edu/UFE0044593.

MLA Handbook (7th Edition):

Savenkov, Oleksandr. “Novel Methods for Time Series Data in Clinical Studies.” 2012. Web. 19 Aug 2019.

Vancouver:

Savenkov O. Novel Methods for Time Series Data in Clinical Studies. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Aug 19]. Available from: http://ufdc.ufl.edu/UFE0044593.

Council of Science Editors:

Savenkov O. Novel Methods for Time Series Data in Clinical Studies. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044593


Texas A&M University

13. Holan, Scott Harold. Time series exponential models: theory and methods.

Degree: 2004, Texas A&M University

 The exponential model of Bloomfield (1973) is becoming increasingly important due to its recent applications to long memory time series. However, this model has received… (more)

Subjects/Keywords: Time Series Exponential Models

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APA (6th Edition):

Holan, S. H. (2004). Time series exponential models: theory and methods. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/431

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):

Holan, Scott Harold. “Time series exponential models: theory and methods.” 2004. Thesis, Texas A&M University. Accessed August 19, 2019. http://hdl.handle.net/1969.1/431.

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

MLA Handbook (7th Edition):

Holan, Scott Harold. “Time series exponential models: theory and methods.” 2004. Web. 19 Aug 2019.

Vancouver:

Holan SH. Time series exponential models: theory and methods. [Internet] [Thesis]. Texas A&M University; 2004. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/1969.1/431.

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

Council of Science Editors:

Holan SH. Time series exponential models: theory and methods. [Thesis]. Texas A&M University; 2004. Available from: http://hdl.handle.net/1969.1/431

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


NSYSU

14. Huang, Yu-Jie. The Reliability and Trend Analysis of Fine Suspended Particulate Concentration Data.

Degree: Master, Applied Mathematics, 2013, NSYSU

 Fine suspended particulate (PM2.5) is the suspended particulate where particle size is less than 2.5 μm/m3. It goes deep into the lungs easily and through… (more)

Subjects/Keywords: time series models; survival analysis; Log-Rank test; Cox PH model

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APA (6th Edition):

Huang, Y. (2013). The Reliability and Trend Analysis of Fine Suspended Particulate Concentration Data. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0608113-150523

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):

Huang, Yu-Jie. “The Reliability and Trend Analysis of Fine Suspended Particulate Concentration Data.” 2013. Thesis, NSYSU. Accessed August 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0608113-150523.

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

MLA Handbook (7th Edition):

Huang, Yu-Jie. “The Reliability and Trend Analysis of Fine Suspended Particulate Concentration Data.” 2013. Web. 19 Aug 2019.

Vancouver:

Huang Y. The Reliability and Trend Analysis of Fine Suspended Particulate Concentration Data. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 Aug 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0608113-150523.

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

Council of Science Editors:

Huang Y. The Reliability and Trend Analysis of Fine Suspended Particulate Concentration Data. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0608113-150523

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

15. Gao, Zhaoxing. Statistical inference and hypothesis testing for change-point and threshold in time series models.

Degree: 2016, Hong Kong University of Science and Technology

 This thesis considers change-point and threshold problems in time series and can be separated into three principle parts. For the first part, I investigate the… (more)

Subjects/Keywords: Time-series analysis; Multivariate analysis; Change-point problems; Mathematical models

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APA (6th Edition):

Gao, Z. (2016). Statistical inference and hypothesis testing for change-point and threshold in time series models. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1627125 ; http://repository.ust.hk/ir/bitstream/1783.1-87099/1/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):

Gao, Zhaoxing. “Statistical inference and hypothesis testing for change-point and threshold in time series models.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed August 19, 2019. https://doi.org/10.14711/thesis-b1627125 ; http://repository.ust.hk/ir/bitstream/1783.1-87099/1/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):

Gao, Zhaoxing. “Statistical inference and hypothesis testing for change-point and threshold in time series models.” 2016. Web. 19 Aug 2019.

Vancouver:

Gao Z. Statistical inference and hypothesis testing for change-point and threshold in time series models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2019 Aug 19]. Available from: https://doi.org/10.14711/thesis-b1627125 ; http://repository.ust.hk/ir/bitstream/1783.1-87099/1/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:

Gao Z. Statistical inference and hypothesis testing for change-point and threshold in time series models. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: https://doi.org/10.14711/thesis-b1627125 ; http://repository.ust.hk/ir/bitstream/1783.1-87099/1/th_redirect.html

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


Penn State University

16. Lo, Lawrence Laohaopheng. Time series analysis and person-specific psychological development: State space modeling applications in behavior genetic and neurocognitive designs.

Degree: PhD, Human Development and Family Studies, 2016, Penn State University

 Person-specific methodology puts a rigorous statistical focus on the individual. This dissertation gives an overview of this methodological perspective and contrasts various intraindividual and interindividual… (more)

Subjects/Keywords: State space models; Time series analysis; Behavior genetics; Neurocogntive network; Decisionmaking

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APA (6th Edition):

Lo, L. L. (2016). Time series analysis and person-specific psychological development: State space modeling applications in behavior genetic and neurocognitive designs. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/ks65hc20t

Chicago Manual of Style (16th Edition):

Lo, Lawrence Laohaopheng. “Time series analysis and person-specific psychological development: State space modeling applications in behavior genetic and neurocognitive designs.” 2016. Doctoral Dissertation, Penn State University. Accessed August 19, 2019. https://etda.libraries.psu.edu/catalog/ks65hc20t.

MLA Handbook (7th Edition):

Lo, Lawrence Laohaopheng. “Time series analysis and person-specific psychological development: State space modeling applications in behavior genetic and neurocognitive designs.” 2016. Web. 19 Aug 2019.

Vancouver:

Lo LL. Time series analysis and person-specific psychological development: State space modeling applications in behavior genetic and neurocognitive designs. [Internet] [Doctoral dissertation]. Penn State University; 2016. [cited 2019 Aug 19]. Available from: https://etda.libraries.psu.edu/catalog/ks65hc20t.

Council of Science Editors:

Lo LL. Time series analysis and person-specific psychological development: State space modeling applications in behavior genetic and neurocognitive designs. [Doctoral Dissertation]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/ks65hc20t


Penn State University

17. Yang, Tao. Mining Texts and Social Users Using Time Series and Latent Topics.

Degree: PhD, Information Sciences and Technology, 2013, Penn State University

 Knowledge discovery has received tremendous interests and fast developments in both text mining and social user mining. The main purpose is to search massive volumes… (more)

Subjects/Keywords: text mining; social user mining; time series; topic models

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APA (6th Edition):

Yang, T. (2013). Mining Texts and Social Users Using Time Series and Latent Topics. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/21779

Chicago Manual of Style (16th Edition):

Yang, Tao. “Mining Texts and Social Users Using Time Series and Latent Topics.” 2013. Doctoral Dissertation, Penn State University. Accessed August 19, 2019. https://etda.libraries.psu.edu/catalog/21779.

MLA Handbook (7th Edition):

Yang, Tao. “Mining Texts and Social Users Using Time Series and Latent Topics.” 2013. Web. 19 Aug 2019.

Vancouver:

Yang T. Mining Texts and Social Users Using Time Series and Latent Topics. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2019 Aug 19]. Available from: https://etda.libraries.psu.edu/catalog/21779.

Council of Science Editors:

Yang T. Mining Texts and Social Users Using Time Series and Latent Topics. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/21779


Ryerson University

18. Kaleem, Muhammad F. Empirical analysis for non-stationary signal de-noising, de-trending and discrimination applications.

Degree: 2014, Ryerson University

 This dissertation focuses on the study and development of methods for empirical analysis of non-stationary signals in the context of de-noising, de-trending and discrimination applications.… (more)

Subjects/Keywords: Noise control; Signal processing  – Mathematical models; Time-series analysis

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APA (6th Edition):

Kaleem, M. F. (2014). Empirical analysis for non-stationary signal de-noising, de-trending and discrimination applications. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A3068

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):

Kaleem, Muhammad F. “Empirical analysis for non-stationary signal de-noising, de-trending and discrimination applications.” 2014. Thesis, Ryerson University. Accessed August 19, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A3068.

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

MLA Handbook (7th Edition):

Kaleem, Muhammad F. “Empirical analysis for non-stationary signal de-noising, de-trending and discrimination applications.” 2014. Web. 19 Aug 2019.

Vancouver:

Kaleem MF. Empirical analysis for non-stationary signal de-noising, de-trending and discrimination applications. [Internet] [Thesis]. Ryerson University; 2014. [cited 2019 Aug 19]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3068.

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

Council of Science Editors:

Kaleem MF. Empirical analysis for non-stationary signal de-noising, de-trending and discrimination applications. [Thesis]. Ryerson University; 2014. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3068

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


Ryerson University

19. Han, Jianan. Financial time series volatility analysis using Gaussian process state-space models.

Degree: 2015, Ryerson University

 In this thesis, we propose a novel nonparametric modeling framework for financial time series data analysis, and we apply the framework to the problem of… (more)

Subjects/Keywords: Time-series analysis; Gaussian processes; Stochastic processes; Finance  – Mathematical models

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APA (6th Edition):

Han, J. (2015). Financial time series volatility analysis using Gaussian process state-space models. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A4462

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):

Han, Jianan. “Financial time series volatility analysis using Gaussian process state-space models.” 2015. Thesis, Ryerson University. Accessed August 19, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A4462.

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

MLA Handbook (7th Edition):

Han, Jianan. “Financial time series volatility analysis using Gaussian process state-space models.” 2015. Web. 19 Aug 2019.

Vancouver:

Han J. Financial time series volatility analysis using Gaussian process state-space models. [Internet] [Thesis]. Ryerson University; 2015. [cited 2019 Aug 19]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A4462.

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

Council of Science Editors:

Han J. Financial time series volatility analysis using Gaussian process state-space models. [Thesis]. Ryerson University; 2015. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A4462

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


East Tennessee State University

20. Liu, Xiang. A Multi-Indexed Logistic Model for Time Series.

Degree: MS, Mathematical Sciences, 2016, East Tennessee State University

  In this thesis, we explore a multi-indexed logistic regression (MILR) model, with particular emphasis given to its application to time series. MILR includes simple… (more)

Subjects/Keywords: time series; logistic regression; statistics; Applied Statistics; Statistical Models

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APA (6th Edition):

Liu, X. (2016). A Multi-Indexed Logistic Model for Time Series. (Masters Thesis). East Tennessee State University. Retrieved from https://dc.etsu.edu/etd/3140

Chicago Manual of Style (16th Edition):

Liu, Xiang. “A Multi-Indexed Logistic Model for Time Series.” 2016. Masters Thesis, East Tennessee State University. Accessed August 19, 2019. https://dc.etsu.edu/etd/3140.

MLA Handbook (7th Edition):

Liu, Xiang. “A Multi-Indexed Logistic Model for Time Series.” 2016. Web. 19 Aug 2019.

Vancouver:

Liu X. A Multi-Indexed Logistic Model for Time Series. [Internet] [Masters thesis]. East Tennessee State University; 2016. [cited 2019 Aug 19]. Available from: https://dc.etsu.edu/etd/3140.

Council of Science Editors:

Liu X. A Multi-Indexed Logistic Model for Time Series. [Masters Thesis]. East Tennessee State University; 2016. Available from: https://dc.etsu.edu/etd/3140


Université Catholique de Louvain

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

Degree: 2015, Université Catholique de Louvain

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Steghers, Mathieu. “Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes.” 2015. Thesis, Université Catholique de Louvain. Accessed August 19, 2019. http://hdl.handle.net/2078.1/thesis:2678.

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

MLA Handbook (7th Edition):

Steghers, Mathieu. “Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes.” 2015. Web. 19 Aug 2019.

Vancouver:

Steghers M. Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes. [Internet] [Thesis]. Université Catholique de Louvain; 2015. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/2078.1/thesis:2678.

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

Council of Science Editors:

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

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

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

Degree: 2007, Erasmus School of Economics

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

Subjects/Keywords: financial time series; forecasting models

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Ravazzolo, Francesco. “Forecasting Financial Time Series Using Model Averaging.” 2007. Doctoral Dissertation, Erasmus School of Economics. Accessed August 19, 2019. http://hdl.handle.net/1765/10671.

MLA Handbook (7th Edition):

Ravazzolo, Francesco. “Forecasting Financial Time Series Using Model Averaging.” 2007. Web. 19 Aug 2019.

Vancouver:

Ravazzolo F. Forecasting Financial Time Series Using Model Averaging. [Internet] [Doctoral dissertation]. Erasmus School of Economics; 2007. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/1765/10671.

Council of Science Editors:

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


University of Ottawa

23. Rahmani, Mohammadsaeid. Volatility Modelling Using Long-Memory- GARCH Models, Applications of S&P/TSX Composite Index .

Degree: 2016, University of Ottawa

 The statements that include sufficient detail to identify the probability distributions of future prices are asset price dynamics. In this research, using the empirical methods… (more)

Subjects/Keywords: Volatility Modelling; Long-memory; GARCH Models; Financial Time-series

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APA (6th Edition):

Rahmani, M. (2016). Volatility Modelling Using Long-Memory- GARCH Models, Applications of S&P/TSX Composite Index . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/35064

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):

Rahmani, Mohammadsaeid. “Volatility Modelling Using Long-Memory- GARCH Models, Applications of S&P/TSX Composite Index .” 2016. Thesis, University of Ottawa. Accessed August 19, 2019. http://hdl.handle.net/10393/35064.

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

MLA Handbook (7th Edition):

Rahmani, Mohammadsaeid. “Volatility Modelling Using Long-Memory- GARCH Models, Applications of S&P/TSX Composite Index .” 2016. Web. 19 Aug 2019.

Vancouver:

Rahmani M. Volatility Modelling Using Long-Memory- GARCH Models, Applications of S&P/TSX Composite Index . [Internet] [Thesis]. University of Ottawa; 2016. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/10393/35064.

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

Council of Science Editors:

Rahmani M. Volatility Modelling Using Long-Memory- GARCH Models, Applications of S&P/TSX Composite Index . [Thesis]. University of Ottawa; 2016. Available from: http://hdl.handle.net/10393/35064

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

24. Peng, Fengchao CSE. Supervised and unsupervised learning for temporal data analysis.

Degree: 2018, Hong Kong University of Science and Technology

 Temporal data analysis has been widely applied in various areas, such as bio-informatics, outlier detection, and trajectory mining. These applications require a variety of machine… (more)

Subjects/Keywords: Temporal databases; Data processing; Mathematical models; Time-series analysis; Machine learning

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APA (6th Edition):

Peng, F. C. (2018). Supervised and unsupervised learning for temporal data analysis. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-991012615660503412 ; http://repository.ust.hk/ir/bitstream/1783.1-93151/1/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):

Peng, Fengchao CSE. “Supervised and unsupervised learning for temporal data analysis.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed August 19, 2019. https://doi.org/10.14711/thesis-991012615660503412 ; http://repository.ust.hk/ir/bitstream/1783.1-93151/1/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):

Peng, Fengchao CSE. “Supervised and unsupervised learning for temporal data analysis.” 2018. Web. 19 Aug 2019.

Vancouver:

Peng FC. Supervised and unsupervised learning for temporal data analysis. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2019 Aug 19]. Available from: https://doi.org/10.14711/thesis-991012615660503412 ; http://repository.ust.hk/ir/bitstream/1783.1-93151/1/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:

Peng FC. Supervised and unsupervised learning for temporal data analysis. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: https://doi.org/10.14711/thesis-991012615660503412 ; http://repository.ust.hk/ir/bitstream/1783.1-93151/1/th_redirect.html

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


University of Tasmania

25. Humphries, MA. Stats, drugs and rock and roll : statistical applications to temporally autocorrelated substance use data.

Degree: 2017, University of Tasmania

 The use of illicit drugs is an area of interest across a broad range of industries and fields including public policy, law enforcement and physical… (more)

Subjects/Keywords: statistics; mathematical psychology; time-series; cognitive models; wastewater analysis; temporal autocorrelation

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APA (6th Edition):

Humphries, M. (2017). Stats, drugs and rock and roll : statistical applications to temporally autocorrelated substance use data. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/27324/1/Humphries_whole_thesis_ex_pub_mat.pdf ; https://eprints.utas.edu.au/27324/2/Humphries_whole_thesis.pdf ; Humphries, MA ORCID: 0000-0002-0473-7611 <https://orcid.org/0000-0002-0473-7611> 2017 , 'Stats, drugs and rock and roll : statistical applications to temporally autocorrelated substance use data', PhD thesis, University of Tasmania.

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):

Humphries, MA. “Stats, drugs and rock and roll : statistical applications to temporally autocorrelated substance use data.” 2017. Thesis, University of Tasmania. Accessed August 19, 2019. https://eprints.utas.edu.au/27324/1/Humphries_whole_thesis_ex_pub_mat.pdf ; https://eprints.utas.edu.au/27324/2/Humphries_whole_thesis.pdf ; Humphries, MA ORCID: 0000-0002-0473-7611 <https://orcid.org/0000-0002-0473-7611> 2017 , 'Stats, drugs and rock and roll : statistical applications to temporally autocorrelated substance use data', PhD thesis, University of Tasmania..

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

MLA Handbook (7th Edition):

Humphries, MA. “Stats, drugs and rock and roll : statistical applications to temporally autocorrelated substance use data.” 2017. Web. 19 Aug 2019.

Vancouver:

Humphries M. Stats, drugs and rock and roll : statistical applications to temporally autocorrelated substance use data. [Internet] [Thesis]. University of Tasmania; 2017. [cited 2019 Aug 19]. Available from: https://eprints.utas.edu.au/27324/1/Humphries_whole_thesis_ex_pub_mat.pdf ; https://eprints.utas.edu.au/27324/2/Humphries_whole_thesis.pdf ; Humphries, MA ORCID: 0000-0002-0473-7611 <https://orcid.org/0000-0002-0473-7611> 2017 , 'Stats, drugs and rock and roll : statistical applications to temporally autocorrelated substance use data', PhD thesis, University of Tasmania..

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

Council of Science Editors:

Humphries M. Stats, drugs and rock and roll : statistical applications to temporally autocorrelated substance use data. [Thesis]. University of Tasmania; 2017. Available from: https://eprints.utas.edu.au/27324/1/Humphries_whole_thesis_ex_pub_mat.pdf ; https://eprints.utas.edu.au/27324/2/Humphries_whole_thesis.pdf ; Humphries, MA ORCID: 0000-0002-0473-7611 <https://orcid.org/0000-0002-0473-7611> 2017 , 'Stats, drugs and rock and roll : statistical applications to temporally autocorrelated substance use data', PhD thesis, University of Tasmania.

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

26. Kyriakopoulou, Dimitra. Asymptotic expansions of econometric estimators in time series models.

Degree: 2011, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς

 Techniques for approximating probability distributions like the Edgeworth expansion have a long history in time series models. The purpose of this thesis is to give… (more)

Subjects/Keywords: Econometrics; Asymptotic theory; Econometric models; Time-series analysis

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APA (6th Edition):

Kyriakopoulou, D. (2011). Asymptotic expansions of econometric estimators in time series models. (Thesis). University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Retrieved from http://hdl.handle.net/10442/hedi/32147

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):

Kyriakopoulou, Dimitra. “Asymptotic expansions of econometric estimators in time series models.” 2011. Thesis, University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς. Accessed August 19, 2019. http://hdl.handle.net/10442/hedi/32147.

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

MLA Handbook (7th Edition):

Kyriakopoulou, Dimitra. “Asymptotic expansions of econometric estimators in time series models.” 2011. Web. 19 Aug 2019.

Vancouver:

Kyriakopoulou D. Asymptotic expansions of econometric estimators in time series models. [Internet] [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2011. [cited 2019 Aug 19]. Available from: http://hdl.handle.net/10442/hedi/32147.

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

Council of Science Editors:

Kyriakopoulou D. Asymptotic expansions of econometric estimators in time series models. [Thesis]. University of Piraeus (UNIPI); Πανεπιστήμιο Πειραιώς; 2011. Available from: http://hdl.handle.net/10442/hedi/32147

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


University of Florida

27. HAN,SAHNG-MIN. Modulation of Brain Activity by Working Memory and by Antiepileptic Medication A High Density Eeg Study.

Degree: PhD, Biomedical Engineering, 2011, University of Florida

 It is estimated that in a given year in the US, there are 57.7 million people suffering from mental disorders (National Institute of Mental Health,… (more)

Subjects/Keywords: Anticonvulsants; Causality; Electroencephalography; Epilepsy; Memory; Paradigms; Placebos; Time series; Time series models; Working memory; EEG  – ERP  – TOPIRAMATE  – TPM

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APA (6th Edition):

HAN,SAHNG-MIN. (2011). Modulation of Brain Activity by Working Memory and by Antiepileptic Medication A High Density Eeg Study. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042565

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

Chicago Manual of Style (16th Edition):

HAN,SAHNG-MIN. “Modulation of Brain Activity by Working Memory and by Antiepileptic Medication A High Density Eeg Study.” 2011. Doctoral Dissertation, University of Florida. Accessed August 19, 2019. http://ufdc.ufl.edu/UFE0042565.

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

MLA Handbook (7th Edition):

HAN,SAHNG-MIN. “Modulation of Brain Activity by Working Memory and by Antiepileptic Medication A High Density Eeg Study.” 2011. Web. 19 Aug 2019.

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

Vancouver:

HAN,SAHNG-MIN. Modulation of Brain Activity by Working Memory and by Antiepileptic Medication A High Density Eeg Study. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Aug 19]. Available from: http://ufdc.ufl.edu/UFE0042565.

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

Council of Science Editors:

HAN,SAHNG-MIN. Modulation of Brain Activity by Working Memory and by Antiepileptic Medication A High Density Eeg Study. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042565

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

28. Hareesh, G. Modeling and Analysis of Some Heavy Tailed Time Series.

Degree: Statistics, 2010, Cochin University of Science and Technology

 The thesis has covered various aspects of modeling and analysis of finite mean time series with symmetric stable distributed innovations. Time series analysis based on… (more)

Subjects/Keywords: Stable Time Series Models; Signal Extraction; Stable Autoregressive Models; Signal Estimation; Statistics

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

APA (6th Edition):

Hareesh, G. (2010). Modeling and Analysis of Some Heavy Tailed Time Series. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/2770

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):

Hareesh, G. “Modeling and Analysis of Some Heavy Tailed Time Series.” 2010. Thesis, Cochin University of Science and Technology. Accessed August 19, 2019. http://dyuthi.cusat.ac.in/purl/2770.

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

MLA Handbook (7th Edition):

Hareesh, G. “Modeling and Analysis of Some Heavy Tailed Time Series.” 2010. Web. 19 Aug 2019.

Vancouver:

Hareesh G. Modeling and Analysis of Some Heavy Tailed Time Series. [Internet] [Thesis]. Cochin University of Science and Technology; 2010. [cited 2019 Aug 19]. Available from: http://dyuthi.cusat.ac.in/purl/2770.

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

Council of Science Editors:

Hareesh G. Modeling and Analysis of Some Heavy Tailed Time Series. [Thesis]. Cochin University of Science and Technology; 2010. Available from: http://dyuthi.cusat.ac.in/purl/2770

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

29. Liu, Zhi. On high frequency financial data with jumps and microstructure noise.

Degree: 2011, Hong Kong University of Science and Technology

 This thesis deals with the statistical problems in finance and other dynamical systems which can be appropriately modeled by a semimartingale. It consists of two… (more)

Subjects/Keywords: Estimation theory  – Mathematical models; Time-series analysis  – Statistical methods; Finance  – Econometric models

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

APA (6th Edition):

Liu, Z. (2011). On high frequency financial data with jumps and microstructure noise. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1129597 ; http://repository.ust.hk/ir/bitstream/1783.1-7081/1/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):

Liu, Zhi. “On high frequency financial data with jumps and microstructure noise.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed August 19, 2019. https://doi.org/10.14711/thesis-b1129597 ; http://repository.ust.hk/ir/bitstream/1783.1-7081/1/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):

Liu, Zhi. “On high frequency financial data with jumps and microstructure noise.” 2011. Web. 19 Aug 2019.

Vancouver:

Liu Z. On high frequency financial data with jumps and microstructure noise. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2019 Aug 19]. Available from: https://doi.org/10.14711/thesis-b1129597 ; http://repository.ust.hk/ir/bitstream/1783.1-7081/1/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:

Liu Z. On high frequency financial data with jumps and microstructure noise. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: https://doi.org/10.14711/thesis-b1129597 ; http://repository.ust.hk/ir/bitstream/1783.1-7081/1/th_redirect.html

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


University of California – Riverside

30. Rueda-Cediel, Pamela. Effects of Variability, Error, and Time Series Length on Population Predictions.

Degree: Evolution, Ecology and Organismal Biology, 2015, University of California – Riverside

 Global biodiversity is fundamental for human welfare as ecosystem services, agricultural crops, and even human health depend on its preservation. Identifying strengths and shortcomings of… (more)

Subjects/Keywords: Ecology; Extinction risk; Matrix models; Population viability analysis; Scalar models; Time series; Variability

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

APA (6th Edition):

Rueda-Cediel, P. (2015). Effects of Variability, Error, and Time Series Length on Population Predictions. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/31d961tn

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):

Rueda-Cediel, Pamela. “Effects of Variability, Error, and Time Series Length on Population Predictions.” 2015. Thesis, University of California – Riverside. Accessed August 19, 2019. http://www.escholarship.org/uc/item/31d961tn.

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

MLA Handbook (7th Edition):

Rueda-Cediel, Pamela. “Effects of Variability, Error, and Time Series Length on Population Predictions.” 2015. Web. 19 Aug 2019.

Vancouver:

Rueda-Cediel P. Effects of Variability, Error, and Time Series Length on Population Predictions. [Internet] [Thesis]. University of California – Riverside; 2015. [cited 2019 Aug 19]. Available from: http://www.escholarship.org/uc/item/31d961tn.

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

Council of Science Editors:

Rueda-Cediel P. Effects of Variability, Error, and Time Series Length on Population Predictions. [Thesis]. University of California – Riverside; 2015. Available from: http://www.escholarship.org/uc/item/31d961tn

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

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