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Dept: Mathematics and Statistics ^{❌}

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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

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-06292016-121204/ ;

► *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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1974/12584

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://hdl.handle.net/1974/14291

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: 9781303512544 ; https://digitalcommons.odu.edu/mathstat_etds/22

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1974/8619

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: 9781085723541 ; https://digitalcommons.odu.edu/mathstat_etds/76

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://digitalcommons.usu.edu/etd/1394

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: 9781124453057 ; https://digitalcommons.odu.edu/mathstat_etds/74

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1974/7617

► 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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: 9781303166204 ; https://digitalcommons.odu.edu/mathstat_etds/33

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: 9781124458670 ; https://digitalcommons.odu.edu/mathstat_etds/38

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://digitalcommons.usu.edu/etd/7125

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1974/23784

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: 9780496549405 ; https://digitalcommons.odu.edu/mathstat_etds/72

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://digitalcommons.usu.edu/etd/6827

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: 9780549069508 ; https://digitalcommons.odu.edu/mathstat_etds/65

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1974/23771

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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.

No year of publication.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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

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

URL: http://hdl.handle.net/1974/24910

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

No year of publication.

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

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

No year of publication.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/1974/1704

► 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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: 9780542157516 ; https://digitalcommons.odu.edu/mathstat_etds/36

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://digitalcommons.usu.edu/etd/1526

► 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…

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1974/23930

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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

No year of publication.

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

No year of publication.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

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

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.

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

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

URL: http://sun.library.msstate.edu/ETD-db/theses/available/etd-07062006-081346/ ;

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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/ ;