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Dept: Mathematics and Statistics

You searched for subject:(Time series). Showing records 1 – 23 of 23 total matches.

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Mississippi State University

1. Wang, Jingjing. Different steimations of time series models and application for foreign exchange in emerging markets.

Degree: MS, Mathematics and Statistics, 2016, Mississippi State University

Time series models have been widely used in simulating financial data sets. Finding a nice way to estimate the parameters is really important. One… (more)

Subjects/Keywords: emerging markets; time series

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

APA (6th Edition):

Wang, J. (2016). Different steimations of time series models and application for foreign exchange in emerging markets. (Masters Thesis). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-06292016-121204/ ;

Chicago Manual of Style (16th Edition):

Wang, Jingjing. “Different steimations of time series models and application for foreign exchange in emerging markets.” 2016. Masters Thesis, Mississippi State University. Accessed April 06, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06292016-121204/ ;.

MLA Handbook (7th Edition):

Wang, Jingjing. “Different steimations of time series models and application for foreign exchange in emerging markets.” 2016. Web. 06 Apr 2020.

Vancouver:

Wang J. Different steimations of time series models and application for foreign exchange in emerging markets. [Internet] [Masters thesis]. Mississippi State University; 2016. [cited 2020 Apr 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06292016-121204/ ;.

Council of Science Editors:

Wang J. Different steimations of time series models and application for foreign exchange in emerging markets. [Masters Thesis]. Mississippi State University; 2016. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06292016-121204/ ;


Queens University

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

Degree: Mathematics and Statistics, 2014, Queens University

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

Subjects/Keywords: Spectral Analysis; Time Series

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Rahim, Karim. “Applications of Multitaper Spectral Analysis to Nonstationary Data .” 2014. Thesis, Queens University. Accessed April 06, 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. 06 Apr 2020.

Vancouver:

Rahim K. Applications of Multitaper Spectral Analysis to Nonstationary Data . [Internet] [Thesis]. Queens University; 2014. [cited 2020 Apr 06]. 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


Queens University

3. Pohlkamp-Hartt, Joshua. Computationally Intensive Methods for Spectrum Estimation .

Degree: Mathematics and Statistics, 2016, Queens University

 Spectrum estimation is an essential technique for analyzing time series data. A leading method in the field of spectrum estimation is the multitaper method. The… (more)

Subjects/Keywords: Time Series; Spectrum Estimation

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APA (6th Edition):

Pohlkamp-Hartt, J. (2016). Computationally Intensive Methods for Spectrum Estimation . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/14291

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):

Pohlkamp-Hartt, Joshua. “Computationally Intensive Methods for Spectrum Estimation .” 2016. Thesis, Queens University. Accessed April 06, 2020. http://hdl.handle.net/1974/14291.

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

MLA Handbook (7th Edition):

Pohlkamp-Hartt, Joshua. “Computationally Intensive Methods for Spectrum Estimation .” 2016. Web. 06 Apr 2020.

Vancouver:

Pohlkamp-Hartt J. Computationally Intensive Methods for Spectrum Estimation . [Internet] [Thesis]. Queens University; 2016. [cited 2020 Apr 06]. Available from: http://hdl.handle.net/1974/14291.

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

Council of Science Editors:

Pohlkamp-Hartt J. Computationally Intensive Methods for Spectrum Estimation . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/14291

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

4. Lamichhane, Rajan. Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering.

Degree: PhD, Mathematics and Statistics, 2013, Old Dominion University

  Stochastic processes have applications in many areas such as oceanography and engineering. Special classes of such processes deal with time series of sparse data.… (more)

Subjects/Keywords: Bootstrap filtering; Breakpoints detection; Time series prediction; Applied Mathematics; Longitudinal Data Analysis and Time Series

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APA (6th Edition):

Lamichhane, R. (2013). Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781303512544 ; https://digitalcommons.odu.edu/mathstat_etds/22

Chicago Manual of Style (16th Edition):

Lamichhane, Rajan. “Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering.” 2013. Doctoral Dissertation, Old Dominion University. Accessed April 06, 2020. 9781303512544 ; https://digitalcommons.odu.edu/mathstat_etds/22.

MLA Handbook (7th Edition):

Lamichhane, Rajan. “Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering.” 2013. Web. 06 Apr 2020.

Vancouver:

Lamichhane R. Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering. [Internet] [Doctoral dissertation]. Old Dominion University; 2013. [cited 2020 Apr 06]. Available from: 9781303512544 ; https://digitalcommons.odu.edu/mathstat_etds/22.

Council of Science Editors:

Lamichhane R. Modelling Locally Changing Variance Structured Time Series Data By Using Breakpoints Bootstrap Filtering. [Doctoral Dissertation]. Old Dominion University; 2013. Available from: 9781303512544 ; https://digitalcommons.odu.edu/mathstat_etds/22


Queens University

5. Moore, Ian. Forecasting and Non-Stationarity of Surgical Demand Time Series .

Degree: Mathematics and Statistics, 2014, Queens University

 Surgical scheduling is complicated by naturally occurring, and human-induced variability in the demand for surgical services. We used time series methods to detect, model and… (more)

Subjects/Keywords: Time Series Analysis; Sugical Demand; Holiday Variance; Multitaper; Variance Filter

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APA (6th Edition):

Moore, I. (2014). Forecasting and Non-Stationarity of Surgical Demand Time Series . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/8619

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):

Moore, Ian. “Forecasting and Non-Stationarity of Surgical Demand Time Series .” 2014. Thesis, Queens University. Accessed April 06, 2020. http://hdl.handle.net/1974/8619.

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

MLA Handbook (7th Edition):

Moore, Ian. “Forecasting and Non-Stationarity of Surgical Demand Time Series .” 2014. Web. 06 Apr 2020.

Vancouver:

Moore I. Forecasting and Non-Stationarity of Surgical Demand Time Series . [Internet] [Thesis]. Queens University; 2014. [cited 2020 Apr 06]. Available from: http://hdl.handle.net/1974/8619.

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

Council of Science Editors:

Moore I. Forecasting and Non-Stationarity of Surgical Demand Time Series . [Thesis]. Queens University; 2014. Available from: http://hdl.handle.net/1974/8619

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

6. Alqawba, Mohammed Sulaiman. Copula-Based Zero-Inflated Count Time Series Models.

Degree: PhD, Mathematics and Statistics, 2019, Old Dominion University

  Count time series data are observed in several applied disciplines such as in environmental science, biostatistics, economics, public health, and finance. In some cases,… (more)

Subjects/Keywords: Conway-Maxwell-Poisson; Copula; Count time series; Negative binomial; Poisson; Zero-inflation; Applied Statistics; Biostatistics; Longitudinal Data Analysis and Time Series; Mathematics

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

APA (6th Edition):

Alqawba, M. S. (2019). Copula-Based Zero-Inflated Count Time Series Models. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781085723541 ; https://digitalcommons.odu.edu/mathstat_etds/76

Chicago Manual of Style (16th Edition):

Alqawba, Mohammed Sulaiman. “Copula-Based Zero-Inflated Count Time Series Models.” 2019. Doctoral Dissertation, Old Dominion University. Accessed April 06, 2020. 9781085723541 ; https://digitalcommons.odu.edu/mathstat_etds/76.

MLA Handbook (7th Edition):

Alqawba, Mohammed Sulaiman. “Copula-Based Zero-Inflated Count Time Series Models.” 2019. Web. 06 Apr 2020.

Vancouver:

Alqawba MS. Copula-Based Zero-Inflated Count Time Series Models. [Internet] [Doctoral dissertation]. Old Dominion University; 2019. [cited 2020 Apr 06]. Available from: 9781085723541 ; https://digitalcommons.odu.edu/mathstat_etds/76.

Council of Science Editors:

Alqawba MS. Copula-Based Zero-Inflated Count Time Series Models. [Doctoral Dissertation]. Old Dominion University; 2019. Available from: 9781085723541 ; https://digitalcommons.odu.edu/mathstat_etds/76


Utah State University

7. Sharif, Abbass. Visual Data Mining Techniques for Functional Actigraphy Data: An Object-Oriented Approach in R.

Degree: PhD, Mathematics and Statistics, 2012, Utah State University

  Actigraphy, a technology for measuring a subject's overall activity level almost continuously over time, has gained a lot of momentum over the last few… (more)

Subjects/Keywords: data aggregation; data envelopes; data images; density-based plots; time series; visualization; Statistics and Probability

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APA (6th Edition):

Sharif, A. (2012). Visual Data Mining Techniques for Functional Actigraphy Data: An Object-Oriented Approach in R. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/1394

Chicago Manual of Style (16th Edition):

Sharif, Abbass. “Visual Data Mining Techniques for Functional Actigraphy Data: An Object-Oriented Approach in R.” 2012. Doctoral Dissertation, Utah State University. Accessed April 06, 2020. https://digitalcommons.usu.edu/etd/1394.

MLA Handbook (7th Edition):

Sharif, Abbass. “Visual Data Mining Techniques for Functional Actigraphy Data: An Object-Oriented Approach in R.” 2012. Web. 06 Apr 2020.

Vancouver:

Sharif A. Visual Data Mining Techniques for Functional Actigraphy Data: An Object-Oriented Approach in R. [Internet] [Doctoral dissertation]. Utah State University; 2012. [cited 2020 Apr 06]. Available from: https://digitalcommons.usu.edu/etd/1394.

Council of Science Editors:

Sharif A. Visual Data Mining Techniques for Functional Actigraphy Data: An Object-Oriented Approach in R. [Doctoral Dissertation]. Utah State University; 2012. Available from: https://digitalcommons.usu.edu/etd/1394

8. Yang, Weiming. Analysis of Models for Longitudinal and Clustered Binary Data.

Degree: PhD, Mathematics and Statistics, 2010, Old Dominion University

  This dissertation deals with modeling and statistical analysis of longitudinal and clustered binary data. Such data consists of observations on a dichotomous response variable… (more)

Subjects/Keywords: Binary data; Data clustering; Analysis; Applied Statistics; Longitudinal Data Analysis and Time Series

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APA (6th Edition):

Yang, W. (2010). Analysis of Models for Longitudinal and Clustered Binary Data. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781124453057 ; https://digitalcommons.odu.edu/mathstat_etds/74

Chicago Manual of Style (16th Edition):

Yang, Weiming. “Analysis of Models for Longitudinal and Clustered Binary Data.” 2010. Doctoral Dissertation, Old Dominion University. Accessed April 06, 2020. 9781124453057 ; https://digitalcommons.odu.edu/mathstat_etds/74.

MLA Handbook (7th Edition):

Yang, Weiming. “Analysis of Models for Longitudinal and Clustered Binary Data.” 2010. Web. 06 Apr 2020.

Vancouver:

Yang W. Analysis of Models for Longitudinal and Clustered Binary Data. [Internet] [Doctoral dissertation]. Old Dominion University; 2010. [cited 2020 Apr 06]. Available from: 9781124453057 ; https://digitalcommons.odu.edu/mathstat_etds/74.

Council of Science Editors:

Yang W. Analysis of Models for Longitudinal and Clustered Binary Data. [Doctoral Dissertation]. Old Dominion University; 2010. Available from: 9781124453057 ; https://digitalcommons.odu.edu/mathstat_etds/74


Queens University

9. Burr, Wesley Samuel. Air Pollution and Health: Time Series Tools and Analysis .

Degree: Mathematics and Statistics, 2012, Queens University

 This thesis is concerned, loosely, with time series analysis. It is also, loosely, concerned with smoothers and Generalized Additive Models. And, finally, it is also… (more)

Subjects/Keywords: Time Series Analysis; Generalized Additive Models; Air Health Indicator; Statistics; Epidemiology; Environmental Health

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APA (6th Edition):

Burr, W. S. (2012). Air Pollution and Health: Time Series Tools and Analysis . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/7617

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):

Burr, Wesley Samuel. “Air Pollution and Health: Time Series Tools and Analysis .” 2012. Thesis, Queens University. Accessed April 06, 2020. http://hdl.handle.net/1974/7617.

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

MLA Handbook (7th Edition):

Burr, Wesley Samuel. “Air Pollution and Health: Time Series Tools and Analysis .” 2012. Web. 06 Apr 2020.

Vancouver:

Burr WS. Air Pollution and Health: Time Series Tools and Analysis . [Internet] [Thesis]. Queens University; 2012. [cited 2020 Apr 06]. Available from: http://hdl.handle.net/1974/7617.

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

Council of Science Editors:

Burr WS. Air Pollution and Health: Time Series Tools and Analysis . [Thesis]. Queens University; 2012. Available from: http://hdl.handle.net/1974/7617

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

10. Mushti, Sirisha. Analysis of Continuous Longitudinal Data with ARMA(1, 1) and Antedependence Correlation Structures.

Degree: PhD, Mathematics and Statistics, 2013, Old Dominion University

  Longitudinal or repeated measure data are common in biomedical and clinical trials. These data are often collected on individuals at scheduled times resulting in… (more)

Subjects/Keywords: ARMA(1; 1); Antedependence correlation; Longitudinal data; Repeated measure; Applied Statistics; Longitudinal Data Analysis and Time Series

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APA (6th Edition):

Mushti, S. (2013). Analysis of Continuous Longitudinal Data with ARMA(1, 1) and Antedependence Correlation Structures. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781303166204 ; https://digitalcommons.odu.edu/mathstat_etds/33

Chicago Manual of Style (16th Edition):

Mushti, Sirisha. “Analysis of Continuous Longitudinal Data with ARMA(1, 1) and Antedependence Correlation Structures.” 2013. Doctoral Dissertation, Old Dominion University. Accessed April 06, 2020. 9781303166204 ; https://digitalcommons.odu.edu/mathstat_etds/33.

MLA Handbook (7th Edition):

Mushti, Sirisha. “Analysis of Continuous Longitudinal Data with ARMA(1, 1) and Antedependence Correlation Structures.” 2013. Web. 06 Apr 2020.

Vancouver:

Mushti S. Analysis of Continuous Longitudinal Data with ARMA(1, 1) and Antedependence Correlation Structures. [Internet] [Doctoral dissertation]. Old Dominion University; 2013. [cited 2020 Apr 06]. Available from: 9781303166204 ; https://digitalcommons.odu.edu/mathstat_etds/33.

Council of Science Editors:

Mushti S. Analysis of Continuous Longitudinal Data with ARMA(1, 1) and Antedependence Correlation Structures. [Doctoral Dissertation]. Old Dominion University; 2013. Available from: 9781303166204 ; https://digitalcommons.odu.edu/mathstat_etds/33

11. McCollum, Raymond. Canonical Correlation Analysis for Longitudinal Data.

Degree: PhD, Mathematics and Statistics, 2010, Old Dominion University

  Data (multivariate data) on two sets of vectors commonly occur in applications. Statistical analysis of these data is usually done using a canonical correlation… (more)

Subjects/Keywords: Canonical correlation; Covariance structure; Kronecker product; Longitudinal data; Multiveriate normal; Applied Statistics; Longitudinal Data Analysis and Time Series

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APA (6th Edition):

McCollum, R. (2010). Canonical Correlation Analysis for Longitudinal Data. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781124458670 ; https://digitalcommons.odu.edu/mathstat_etds/38

Chicago Manual of Style (16th Edition):

McCollum, Raymond. “Canonical Correlation Analysis for Longitudinal Data.” 2010. Doctoral Dissertation, Old Dominion University. Accessed April 06, 2020. 9781124458670 ; https://digitalcommons.odu.edu/mathstat_etds/38.

MLA Handbook (7th Edition):

McCollum, Raymond. “Canonical Correlation Analysis for Longitudinal Data.” 2010. Web. 06 Apr 2020.

Vancouver:

McCollum R. Canonical Correlation Analysis for Longitudinal Data. [Internet] [Doctoral dissertation]. Old Dominion University; 2010. [cited 2020 Apr 06]. Available from: 9781124458670 ; https://digitalcommons.odu.edu/mathstat_etds/38.

Council of Science Editors:

McCollum R. Canonical Correlation Analysis for Longitudinal Data. [Doctoral Dissertation]. Old Dominion University; 2010. Available from: 9781124458670 ; https://digitalcommons.odu.edu/mathstat_etds/38


Utah State University

12. Jach, Agnieszka. Wavelet Techniques in Time Series Analysis with an Application to Space Physics.

Degree: PhD, Mathematics and Statistics, 2006, Utah State University

  Several wavelet techniques in the analysis of time series are developed and applied to real data sets. Methods for long-memory models include wavelet-based confidence… (more)

Subjects/Keywords: wavelet; techniques; time series; application; space physics; Mathematics

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APA (6th Edition):

Jach, A. (2006). Wavelet Techniques in Time Series Analysis with an Application to Space Physics. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7125

Chicago Manual of Style (16th Edition):

Jach, Agnieszka. “Wavelet Techniques in Time Series Analysis with an Application to Space Physics.” 2006. Doctoral Dissertation, Utah State University. Accessed April 06, 2020. https://digitalcommons.usu.edu/etd/7125.

MLA Handbook (7th Edition):

Jach, Agnieszka. “Wavelet Techniques in Time Series Analysis with an Application to Space Physics.” 2006. Web. 06 Apr 2020.

Vancouver:

Jach A. Wavelet Techniques in Time Series Analysis with an Application to Space Physics. [Internet] [Doctoral dissertation]. Utah State University; 2006. [cited 2020 Apr 06]. Available from: https://digitalcommons.usu.edu/etd/7125.

Council of Science Editors:

Jach A. Wavelet Techniques in Time Series Analysis with an Application to Space Physics. [Doctoral Dissertation]. Utah State University; 2006. Available from: https://digitalcommons.usu.edu/etd/7125


Queens University

13. Springford, Aaron. Spectral analysis of time series with latent and irregular times .

Degree: Mathematics and Statistics, Queens University

 Many standard methods of time series analysis assume that observation times are both known and regularly-spaced. Regular sampling and known observation times are cornerstones of… (more)

Subjects/Keywords: Statistics; Time series analysis; Spectral analysis; Bayesian; Paleoclimate; Periodogram

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APA (6th Edition):

Springford, A. (n.d.). Spectral analysis of time series with latent and irregular times . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/23784

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):

Springford, Aaron. “Spectral analysis of time series with latent and irregular times .” Thesis, Queens University. Accessed April 06, 2020. http://hdl.handle.net/1974/23784.

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):

Springford, Aaron. “Spectral analysis of time series with latent and irregular times .” Web. 06 Apr 2020.

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

Vancouver:

Springford A. Spectral analysis of time series with latent and irregular times . [Internet] [Thesis]. Queens University; [cited 2020 Apr 06]. Available from: http://hdl.handle.net/1974/23784.

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:

Springford A. Spectral analysis of time series with latent and irregular times . [Thesis]. Queens University; Available from: http://hdl.handle.net/1974/23784

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

14. Shi, Genming. Estimation of Parameters in Replicated Time Series Regression Models.

Degree: PhD, Mathematics and Statistics, 2003, Old Dominion University

  The time series regression model was widely studied in the literature by several authors. However, statistical analysis of replicated time series regression models has… (more)

Subjects/Keywords: Maximum likelihood; Method of moments; Quasi-least squares; Time-series regression; Biostatistics; Longitudinal Data Analysis and Time Series; Statistical Models

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APA (6th Edition):

Shi, G. (2003). Estimation of Parameters in Replicated Time Series Regression Models. (Doctoral Dissertation). Old Dominion University. Retrieved from 9780496549405 ; https://digitalcommons.odu.edu/mathstat_etds/72

Chicago Manual of Style (16th Edition):

Shi, Genming. “Estimation of Parameters in Replicated Time Series Regression Models.” 2003. Doctoral Dissertation, Old Dominion University. Accessed April 06, 2020. 9780496549405 ; https://digitalcommons.odu.edu/mathstat_etds/72.

MLA Handbook (7th Edition):

Shi, Genming. “Estimation of Parameters in Replicated Time Series Regression Models.” 2003. Web. 06 Apr 2020.

Vancouver:

Shi G. Estimation of Parameters in Replicated Time Series Regression Models. [Internet] [Doctoral dissertation]. Old Dominion University; 2003. [cited 2020 Apr 06]. Available from: 9780496549405 ; https://digitalcommons.odu.edu/mathstat_etds/72.

Council of Science Editors:

Shi G. Estimation of Parameters in Replicated Time Series Regression Models. [Doctoral Dissertation]. Old Dominion University; 2003. Available from: 9780496549405 ; https://digitalcommons.odu.edu/mathstat_etds/72


Utah State University

15. Smith, Karl Leland. Spectral Analysis of Time-Series Associated with Control Systems.

Degree: MS, Mathematics and Statistics, 1965, Utah State University

  The progress of science is based to a large degree on experimentation. The scientist, engineer, or researcher is usually interested in the results of… (more)

Subjects/Keywords: spectral analysis; time-series; control systems; Applied Statistics; Statistics and Probability

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APA (6th Edition):

Smith, K. L. (1965). Spectral Analysis of Time-Series Associated with Control Systems. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/6827

Chicago Manual of Style (16th Edition):

Smith, Karl Leland. “Spectral Analysis of Time-Series Associated with Control Systems.” 1965. Masters Thesis, Utah State University. Accessed April 06, 2020. https://digitalcommons.usu.edu/etd/6827.

MLA Handbook (7th Edition):

Smith, Karl Leland. “Spectral Analysis of Time-Series Associated with Control Systems.” 1965. Web. 06 Apr 2020.

Vancouver:

Smith KL. Spectral Analysis of Time-Series Associated with Control Systems. [Internet] [Masters thesis]. Utah State University; 1965. [cited 2020 Apr 06]. Available from: https://digitalcommons.usu.edu/etd/6827.

Council of Science Editors:

Smith KL. Spectral Analysis of Time-Series Associated with Control Systems. [Masters Thesis]. Utah State University; 1965. Available from: https://digitalcommons.usu.edu/etd/6827

16. Srivastava, Jayesh. Canonical Correlation and Correspondence Analysis of Longitudinal Data.

Degree: PhD, Mathematics and Statistics, 2007, Old Dominion University

  Assessing the relationship between two sets of multivariate vectors is an important problem in statistics. Canonical correlation coefficients are used to study these relationships.… (more)

Subjects/Keywords: Canonical correlation; Correspondence analysis; Applied Statistics; Longitudinal Data Analysis and Time Series

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APA (6th Edition):

Srivastava, J. (2007). Canonical Correlation and Correspondence Analysis of Longitudinal Data. (Doctoral Dissertation). Old Dominion University. Retrieved from 9780549069508 ; https://digitalcommons.odu.edu/mathstat_etds/65

Chicago Manual of Style (16th Edition):

Srivastava, Jayesh. “Canonical Correlation and Correspondence Analysis of Longitudinal Data.” 2007. Doctoral Dissertation, Old Dominion University. Accessed April 06, 2020. 9780549069508 ; https://digitalcommons.odu.edu/mathstat_etds/65.

MLA Handbook (7th Edition):

Srivastava, Jayesh. “Canonical Correlation and Correspondence Analysis of Longitudinal Data.” 2007. Web. 06 Apr 2020.

Vancouver:

Srivastava J. Canonical Correlation and Correspondence Analysis of Longitudinal Data. [Internet] [Doctoral dissertation]. Old Dominion University; 2007. [cited 2020 Apr 06]. Available from: 9780549069508 ; https://digitalcommons.odu.edu/mathstat_etds/65.

Council of Science Editors:

Srivastava J. Canonical Correlation and Correspondence Analysis of Longitudinal Data. [Doctoral Dissertation]. Old Dominion University; 2007. Available from: 9780549069508 ; https://digitalcommons.odu.edu/mathstat_etds/65


Queens University

17. Boteler, Claire. Seasonality of Influenza: An Investigation Using Time Series, Spectral Analysis & Epidemiological Models .

Degree: Mathematics and Statistics, Queens University

 Influenza is an infectious disease. Its seasonality is commonly modeled focusing on the yearly cycle. The log transform of pneumonia and influenza mortality data from… (more)

Subjects/Keywords: Time Series; Spectral Analysis; Influenza; Susceptible-Infected Model; Harmonic Analysis

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

APA (6th Edition):

Boteler, C. (n.d.). Seasonality of Influenza: An Investigation Using Time Series, Spectral Analysis & Epidemiological Models . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/23771

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):

Boteler, Claire. “Seasonality of Influenza: An Investigation Using Time Series, Spectral Analysis & Epidemiological Models .” Thesis, Queens University. Accessed April 06, 2020. http://hdl.handle.net/1974/23771.

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):

Boteler, Claire. “Seasonality of Influenza: An Investigation Using Time Series, Spectral Analysis & Epidemiological Models .” Web. 06 Apr 2020.

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

Vancouver:

Boteler C. Seasonality of Influenza: An Investigation Using Time Series, Spectral Analysis & Epidemiological Models . [Internet] [Thesis]. Queens University; [cited 2020 Apr 06]. Available from: http://hdl.handle.net/1974/23771.

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:

Boteler C. Seasonality of Influenza: An Investigation Using Time Series, Spectral Analysis & Epidemiological Models . [Thesis]. Queens University; Available from: http://hdl.handle.net/1974/23771

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


Queens University

18. Zhang, Ru. Modeling and Analysis of Dynamic Computer Experiments .

Degree: Mathematics and Statistics, Queens University

 Dynamic computer experiments which refer to computer experiments with time series outputs have increasingly gained popularity in both science and engineering. Analysis of dynamic computer… (more)

Subjects/Keywords: Computer Experiments; Gaussian Process; Inverse Problem; Singular Value Decomposition; Time Series

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

APA (6th Edition):

Zhang, R. (n.d.). Modeling and Analysis of Dynamic Computer Experiments . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/24910

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):

Zhang, Ru. “Modeling and Analysis of Dynamic Computer Experiments .” Thesis, Queens University. Accessed April 06, 2020. http://hdl.handle.net/1974/24910.

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):

Zhang, Ru. “Modeling and Analysis of Dynamic Computer Experiments .” Web. 06 Apr 2020.

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

Vancouver:

Zhang R. Modeling and Analysis of Dynamic Computer Experiments . [Internet] [Thesis]. Queens University; [cited 2020 Apr 06]. Available from: http://hdl.handle.net/1974/24910.

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:

Zhang R. Modeling and Analysis of Dynamic Computer Experiments . [Thesis]. Queens University; Available from: http://hdl.handle.net/1974/24910

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


Queens University

19. Lepage, Kyle. Some Advances in the Multitaper Method of Spectrum Estimation .

Degree: Mathematics and Statistics, 2009, Queens University

 Four contributions to the multitaper method of applied spectrum estimation are presented. These are a generalization of the multitaper method of spectrum estimation to time-series(more)

Subjects/Keywords: Multitaper Method of Spectrum Estimation; Time Series Analysis; Statistical Signal Processing

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APA (6th Edition):

Lepage, K. (2009). Some Advances in the Multitaper Method of Spectrum Estimation . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/1704

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):

Lepage, Kyle. “Some Advances in the Multitaper Method of Spectrum Estimation .” 2009. Thesis, Queens University. Accessed April 06, 2020. http://hdl.handle.net/1974/1704.

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

MLA Handbook (7th Edition):

Lepage, Kyle. “Some Advances in the Multitaper Method of Spectrum Estimation .” 2009. Web. 06 Apr 2020.

Vancouver:

Lepage K. Some Advances in the Multitaper Method of Spectrum Estimation . [Internet] [Thesis]. Queens University; 2009. [cited 2020 Apr 06]. Available from: http://hdl.handle.net/1974/1704.

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

Council of Science Editors:

Lepage K. Some Advances in the Multitaper Method of Spectrum Estimation . [Thesis]. Queens University; 2009. Available from: http://hdl.handle.net/1974/1704

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

20. Mav, Deepak. Statistical Analysis of Longitudinal and Multivariate Discrete Data.

Degree: PhD, Mathematics and Statistics, 2005, Old Dominion University

  Correlated multivariate Poisson and binary variables occur naturally in medical, biological and epidemiological longitudinal studies. Modeling and simulating such variables is difficult because the… (more)

Subjects/Keywords: Generalized estimating equations; Longitudinal data; Multivariate discrete data; Longitudinal Data Analysis and Time Series; Mathematics

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

APA (6th Edition):

Mav, D. (2005). Statistical Analysis of Longitudinal and Multivariate Discrete Data. (Doctoral Dissertation). Old Dominion University. Retrieved from 9780542157516 ; https://digitalcommons.odu.edu/mathstat_etds/36

Chicago Manual of Style (16th Edition):

Mav, Deepak. “Statistical Analysis of Longitudinal and Multivariate Discrete Data.” 2005. Doctoral Dissertation, Old Dominion University. Accessed April 06, 2020. 9780542157516 ; https://digitalcommons.odu.edu/mathstat_etds/36.

MLA Handbook (7th Edition):

Mav, Deepak. “Statistical Analysis of Longitudinal and Multivariate Discrete Data.” 2005. Web. 06 Apr 2020.

Vancouver:

Mav D. Statistical Analysis of Longitudinal and Multivariate Discrete Data. [Internet] [Doctoral dissertation]. Old Dominion University; 2005. [cited 2020 Apr 06]. Available from: 9780542157516 ; https://digitalcommons.odu.edu/mathstat_etds/36.

Council of Science Editors:

Mav D. Statistical Analysis of Longitudinal and Multivariate Discrete Data. [Doctoral Dissertation]. Old Dominion University; 2005. Available from: 9780542157516 ; https://digitalcommons.odu.edu/mathstat_etds/36

21. Gromenko, Oleksandr. Spatially Indexed Functional Data.

Degree: PhD, Mathematics and Statistics, 2013, Utah State University

  The increased concentration of greenhouse gases is associated with the global warming in the lower troposphere. For over twenty years, the space physics community… (more)

Subjects/Keywords: Cooling Trend; Functional Regression; Incomplete Time Series; Spatio-Temporal Modeling; Environmental Sciences; Statistics and Probability

…collections of long (50+ years) mostly equidistant time series with a typical time… …time ionosphere. The curve shows electron density as a function of height. The right vertical… …84 Typical profile of day time ionosphere. The curve shows electron density as a function… …time periods. One of the main methodological challenges is that foF2 data have very long gaps… …reduce the analyzed time interval and drop most of the records. Let X(s; t) be a foF2… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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

APA (6th Edition):

Gromenko, O. (2013). Spatially Indexed Functional Data. (Doctoral Dissertation). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/1526

Chicago Manual of Style (16th Edition):

Gromenko, Oleksandr. “Spatially Indexed Functional Data.” 2013. Doctoral Dissertation, Utah State University. Accessed April 06, 2020. https://digitalcommons.usu.edu/etd/1526.

MLA Handbook (7th Edition):

Gromenko, Oleksandr. “Spatially Indexed Functional Data.” 2013. Web. 06 Apr 2020.

Vancouver:

Gromenko O. Spatially Indexed Functional Data. [Internet] [Doctoral dissertation]. Utah State University; 2013. [cited 2020 Apr 06]. Available from: https://digitalcommons.usu.edu/etd/1526.

Council of Science Editors:

Gromenko O. Spatially Indexed Functional Data. [Doctoral Dissertation]. Utah State University; 2013. Available from: https://digitalcommons.usu.edu/etd/1526


Queens University

22. Liang, Jingyi. Modelling of Dynamic Computer Experiments with Both Qualitative and Quantitative Variables .

Degree: Mathematics and Statistics, Queens University

 Computer experiments are utilized as a popular tool of studying the relationship between responses and the factors that affect them. They are widely used in… (more)

Subjects/Keywords: Computer Experiment; Additive Model; Singular Value Decomposition; Statistical Emulator; Time Series Output; Dynamic Linear Model

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

APA (6th Edition):

Liang, J. (n.d.). Modelling of Dynamic Computer Experiments with Both Qualitative and Quantitative Variables . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/23930

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):

Liang, Jingyi. “Modelling of Dynamic Computer Experiments with Both Qualitative and Quantitative Variables .” Thesis, Queens University. Accessed April 06, 2020. http://hdl.handle.net/1974/23930.

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):

Liang, Jingyi. “Modelling of Dynamic Computer Experiments with Both Qualitative and Quantitative Variables .” Web. 06 Apr 2020.

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

Vancouver:

Liang J. Modelling of Dynamic Computer Experiments with Both Qualitative and Quantitative Variables . [Internet] [Thesis]. Queens University; [cited 2020 Apr 06]. Available from: http://hdl.handle.net/1974/23930.

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:

Liang J. Modelling of Dynamic Computer Experiments with Both Qualitative and Quantitative Variables . [Thesis]. Queens University; Available from: http://hdl.handle.net/1974/23930

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


Mississippi State University

23. Jahan, Nusrat. Applying Goodness-of-fit Techniques in Testing Time Series Gaussianity and Linearity.

Degree: PhD, Mathematics and Statistics, 2006, Mississippi State University

 In this study, we present two new frequency domain tests for testing the Gaussianity and linearity of a sixth-order stationary univariate time series. Both are… (more)

Subjects/Keywords: bispectrum; spectrum; goodness-of-fit tests; nonlinear time series; Hinich's test; Keenan; augmented; original F; CUSUM; TAR F; New F; STAR; EXPAR; bilinear; concurrent

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

APA (6th Edition):

Jahan, N. (2006). Applying Goodness-of-fit Techniques in Testing Time Series Gaussianity and Linearity. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-07062006-081346/ ;

Chicago Manual of Style (16th Edition):

Jahan, Nusrat. “Applying Goodness-of-fit Techniques in Testing Time Series Gaussianity and Linearity.” 2006. Doctoral Dissertation, Mississippi State University. Accessed April 06, 2020. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07062006-081346/ ;.

MLA Handbook (7th Edition):

Jahan, Nusrat. “Applying Goodness-of-fit Techniques in Testing Time Series Gaussianity and Linearity.” 2006. Web. 06 Apr 2020.

Vancouver:

Jahan N. Applying Goodness-of-fit Techniques in Testing Time Series Gaussianity and Linearity. [Internet] [Doctoral dissertation]. Mississippi State University; 2006. [cited 2020 Apr 06]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07062006-081346/ ;.

Council of Science Editors:

Jahan N. Applying Goodness-of-fit Techniques in Testing Time Series Gaussianity and Linearity. [Doctoral Dissertation]. Mississippi State University; 2006. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07062006-081346/ ;

.