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You searched for +publisher:"Temple University" +contributor:("Wei, William W.S."). Showing records 1 – 10 of 10 total matches.

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Temple University

1. Lee, Bu Hyoung. The use of temporally aggregated data on detecting a structural change of a time series process.

Degree: PhD, 2016, Temple University

Statistics

A time series process can be influenced by an interruptive event which starts at a certain time point and so a structural break in… (more)

Subjects/Keywords: Statistics;

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APA (6th Edition):

Lee, B. H. (2016). The use of temporally aggregated data on detecting a structural change of a time series process. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,375511

Chicago Manual of Style (16th Edition):

Lee, Bu Hyoung. “The use of temporally aggregated data on detecting a structural change of a time series process.” 2016. Doctoral Dissertation, Temple University. Accessed July 03, 2020. http://digital.library.temple.edu/u?/p245801coll10,375511.

MLA Handbook (7th Edition):

Lee, Bu Hyoung. “The use of temporally aggregated data on detecting a structural change of a time series process.” 2016. Web. 03 Jul 2020.

Vancouver:

Lee BH. The use of temporally aggregated data on detecting a structural change of a time series process. [Internet] [Doctoral dissertation]. Temple University; 2016. [cited 2020 Jul 03]. Available from: http://digital.library.temple.edu/u?/p245801coll10,375511.

Council of Science Editors:

Lee BH. The use of temporally aggregated data on detecting a structural change of a time series process. [Doctoral Dissertation]. Temple University; 2016. Available from: http://digital.library.temple.edu/u?/p245801coll10,375511


Temple University

2. Zhang, Yongxu. ON TWO NEW ESTIMATORS FOR THE CMS THROUGH EXTENSIONS OF OLS.

Degree: PhD, 2017, Temple University

Statistics

As a useful tool for multivariate analysis, sufficient dimension reduction (SDR) aims to reduce the predictor dimensionality while simultaneously keeping the full regression information,… (more)

Subjects/Keywords: Statistics;

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APA (6th Edition):

Zhang, Y. (2017). ON TWO NEW ESTIMATORS FOR THE CMS THROUGH EXTENSIONS OF OLS. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,449833

Chicago Manual of Style (16th Edition):

Zhang, Yongxu. “ON TWO NEW ESTIMATORS FOR THE CMS THROUGH EXTENSIONS OF OLS.” 2017. Doctoral Dissertation, Temple University. Accessed July 03, 2020. http://digital.library.temple.edu/u?/p245801coll10,449833.

MLA Handbook (7th Edition):

Zhang, Yongxu. “ON TWO NEW ESTIMATORS FOR THE CMS THROUGH EXTENSIONS OF OLS.” 2017. Web. 03 Jul 2020.

Vancouver:

Zhang Y. ON TWO NEW ESTIMATORS FOR THE CMS THROUGH EXTENSIONS OF OLS. [Internet] [Doctoral dissertation]. Temple University; 2017. [cited 2020 Jul 03]. Available from: http://digital.library.temple.edu/u?/p245801coll10,449833.

Council of Science Editors:

Zhang Y. ON TWO NEW ESTIMATORS FOR THE CMS THROUGH EXTENSIONS OF OLS. [Doctoral Dissertation]. Temple University; 2017. Available from: http://digital.library.temple.edu/u?/p245801coll10,449833


Temple University

3. Zheng, Lingyu. Estimation of the linkage matrix in O-GARCH model and GO-GARCH model.

Degree: PhD, 2010, Temple University

Statistics

We propose new estimation methods for the factor loading matrix in modeling multivariate volatility processes. The key step of the methods is based on… (more)

Subjects/Keywords: Statistics; extended GARCH model; influence function; multivariate volatility process; robust estimation

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APA (6th Edition):

Zheng, L. (2010). Estimation of the linkage matrix in O-GARCH model and GO-GARCH model. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,102486

Chicago Manual of Style (16th Edition):

Zheng, Lingyu. “Estimation of the linkage matrix in O-GARCH model and GO-GARCH model.” 2010. Doctoral Dissertation, Temple University. Accessed July 03, 2020. http://digital.library.temple.edu/u?/p245801coll10,102486.

MLA Handbook (7th Edition):

Zheng, Lingyu. “Estimation of the linkage matrix in O-GARCH model and GO-GARCH model.” 2010. Web. 03 Jul 2020.

Vancouver:

Zheng L. Estimation of the linkage matrix in O-GARCH model and GO-GARCH model. [Internet] [Doctoral dissertation]. Temple University; 2010. [cited 2020 Jul 03]. Available from: http://digital.library.temple.edu/u?/p245801coll10,102486.

Council of Science Editors:

Zheng L. Estimation of the linkage matrix in O-GARCH model and GO-GARCH model. [Doctoral Dissertation]. Temple University; 2010. Available from: http://digital.library.temple.edu/u?/p245801coll10,102486


Temple University

4. Campbell, Kathlleen. Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements.

Degree: PhD, 2014, Temple University

Statistics

The practice of ranking objects, events, and people to determine relevance, importance, or competitive edge is ancient. Recently, the use of rankings has permeated… (more)

Subjects/Keywords: Statistics;

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APA (6th Edition):

Campbell, K. (2014). Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,284578

Chicago Manual of Style (16th Edition):

Campbell, Kathlleen. “Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements.” 2014. Doctoral Dissertation, Temple University. Accessed July 03, 2020. http://digital.library.temple.edu/u?/p245801coll10,284578.

MLA Handbook (7th Edition):

Campbell, Kathlleen. “Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements.” 2014. Web. 03 Jul 2020.

Vancouver:

Campbell K. Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements. [Internet] [Doctoral dissertation]. Temple University; 2014. [cited 2020 Jul 03]. Available from: http://digital.library.temple.edu/u?/p245801coll10,284578.

Council of Science Editors:

Campbell K. Extension of Kendall's tau Using Rank-Adapted SVD to Identify Correlation and Factions Among Rankers and Equivalence Classes Among Ranked Elements. [Doctoral Dissertation]. Temple University; 2014. Available from: http://digital.library.temple.edu/u?/p245801coll10,284578


Temple University

5. Minster, Angela. Model-Free Variable Selection through Sufficient Dimension Reduction.

Degree: PhD, 2016, Temple University

Statistics

In this thesis we draw upon the natural connection between the fields of sufficient dimension reduction and variable selection to develop new theory and… (more)

Subjects/Keywords: Statistics

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APA (6th Edition):

Minster, A. (2016). Model-Free Variable Selection through Sufficient Dimension Reduction. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,377536

Chicago Manual of Style (16th Edition):

Minster, Angela. “Model-Free Variable Selection through Sufficient Dimension Reduction.” 2016. Doctoral Dissertation, Temple University. Accessed July 03, 2020. http://digital.library.temple.edu/u?/p245801coll10,377536.

MLA Handbook (7th Edition):

Minster, Angela. “Model-Free Variable Selection through Sufficient Dimension Reduction.” 2016. Web. 03 Jul 2020.

Vancouver:

Minster A. Model-Free Variable Selection through Sufficient Dimension Reduction. [Internet] [Doctoral dissertation]. Temple University; 2016. [cited 2020 Jul 03]. Available from: http://digital.library.temple.edu/u?/p245801coll10,377536.

Council of Science Editors:

Minster A. Model-Free Variable Selection through Sufficient Dimension Reduction. [Doctoral Dissertation]. Temple University; 2016. Available from: http://digital.library.temple.edu/u?/p245801coll10,377536


Temple University

6. Gehman, Andrew J. The Effects of Spatial Aggregation on Spatial Time Series Modeling and Forecasting.

Degree: PhD, 2016, Temple University

Statistics

Spatio-temporal data analysis involves modeling a variable observed at different locations over time. A key component of space-time modeling is determining the spatial scale… (more)

Subjects/Keywords: Statistics; Economics; Geography;

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APA (6th Edition):

Gehman, A. J. (2016). The Effects of Spatial Aggregation on Spatial Time Series Modeling and Forecasting. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,382669

Chicago Manual of Style (16th Edition):

Gehman, Andrew J. “The Effects of Spatial Aggregation on Spatial Time Series Modeling and Forecasting.” 2016. Doctoral Dissertation, Temple University. Accessed July 03, 2020. http://digital.library.temple.edu/u?/p245801coll10,382669.

MLA Handbook (7th Edition):

Gehman, Andrew J. “The Effects of Spatial Aggregation on Spatial Time Series Modeling and Forecasting.” 2016. Web. 03 Jul 2020.

Vancouver:

Gehman AJ. The Effects of Spatial Aggregation on Spatial Time Series Modeling and Forecasting. [Internet] [Doctoral dissertation]. Temple University; 2016. [cited 2020 Jul 03]. Available from: http://digital.library.temple.edu/u?/p245801coll10,382669.

Council of Science Editors:

Gehman AJ. The Effects of Spatial Aggregation on Spatial Time Series Modeling and Forecasting. [Doctoral Dissertation]. Temple University; 2016. Available from: http://digital.library.temple.edu/u?/p245801coll10,382669


Temple University

7. Kim, Hang. TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING.

Degree: PhD, 2018, Temple University

Statistics

In this dissertation, we review the basic properties of the bootstrap and time series application. Then we apply parametric bootstrap on three simulated normal… (more)

Subjects/Keywords: Statistics;

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APA (6th Edition):

Kim, H. (2018). TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,490644

Chicago Manual of Style (16th Edition):

Kim, Hang. “TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING.” 2018. Doctoral Dissertation, Temple University. Accessed July 03, 2020. http://digital.library.temple.edu/u?/p245801coll10,490644.

MLA Handbook (7th Edition):

Kim, Hang. “TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING.” 2018. Web. 03 Jul 2020.

Vancouver:

Kim H. TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING. [Internet] [Doctoral dissertation]. Temple University; 2018. [cited 2020 Jul 03]. Available from: http://digital.library.temple.edu/u?/p245801coll10,490644.

Council of Science Editors:

Kim H. TIME SERIES BLOCK BOOTSTRAP APPLICATION AND EFFECT OF AGGREGATION AND SYSTEMATIC SAMPLING. [Doctoral Dissertation]. Temple University; 2018. Available from: http://digital.library.temple.edu/u?/p245801coll10,490644


Temple University

8. XIA, QI. Sufficient Dimension Reduction with Missing Data.

Degree: PhD, 2017, Temple University

Statistics

Existing sufficient dimension reduction (SDR) methods typically consider cases with no missing data. The dissertation aims to propose methods to facilitate the SDR methods… (more)

Subjects/Keywords: Statistics;

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APA (6th Edition):

XIA, Q. (2017). Sufficient Dimension Reduction with Missing Data. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,469880

Chicago Manual of Style (16th Edition):

XIA, QI. “Sufficient Dimension Reduction with Missing Data.” 2017. Doctoral Dissertation, Temple University. Accessed July 03, 2020. http://digital.library.temple.edu/u?/p245801coll10,469880.

MLA Handbook (7th Edition):

XIA, QI. “Sufficient Dimension Reduction with Missing Data.” 2017. Web. 03 Jul 2020.

Vancouver:

XIA Q. Sufficient Dimension Reduction with Missing Data. [Internet] [Doctoral dissertation]. Temple University; 2017. [cited 2020 Jul 03]. Available from: http://digital.library.temple.edu/u?/p245801coll10,469880.

Council of Science Editors:

XIA Q. Sufficient Dimension Reduction with Missing Data. [Doctoral Dissertation]. Temple University; 2017. Available from: http://digital.library.temple.edu/u?/p245801coll10,469880


Temple University

9. Clements, Nicolle. Multiple Testing in Grouped Dependent Data.

Degree: PhD, 2013, Temple University

Statistics

This dissertation is focused on multiple testing procedures to be used in data that are naturally grouped or possess a spatial structure. We propose… (more)

Subjects/Keywords: Statistics;

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APA (6th Edition):

Clements, N. (2013). Multiple Testing in Grouped Dependent Data. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,253695

Chicago Manual of Style (16th Edition):

Clements, Nicolle. “Multiple Testing in Grouped Dependent Data.” 2013. Doctoral Dissertation, Temple University. Accessed July 03, 2020. http://digital.library.temple.edu/u?/p245801coll10,253695.

MLA Handbook (7th Edition):

Clements, Nicolle. “Multiple Testing in Grouped Dependent Data.” 2013. Web. 03 Jul 2020.

Vancouver:

Clements N. Multiple Testing in Grouped Dependent Data. [Internet] [Doctoral dissertation]. Temple University; 2013. [cited 2020 Jul 03]. Available from: http://digital.library.temple.edu/u?/p245801coll10,253695.

Council of Science Editors:

Clements N. Multiple Testing in Grouped Dependent Data. [Doctoral Dissertation]. Temple University; 2013. Available from: http://digital.library.temple.edu/u?/p245801coll10,253695


Temple University

10. Li, Zeda. Multivariate Nonstationary Time Series: Spectrum Analysis and Dimension Reduction.

Degree: PhD, 2018, Temple University

Statistics

This dissertation tackles two important problems in modern multivariate nonstationary time series analysis: spectrum analysis and dimension reduction. The first part of the dissertation… (more)

Subjects/Keywords: Statistics

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

APA (6th Edition):

Li, Z. (2018). Multivariate Nonstationary Time Series: Spectrum Analysis and Dimension Reduction. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,504814

Chicago Manual of Style (16th Edition):

Li, Zeda. “Multivariate Nonstationary Time Series: Spectrum Analysis and Dimension Reduction.” 2018. Doctoral Dissertation, Temple University. Accessed July 03, 2020. http://digital.library.temple.edu/u?/p245801coll10,504814.

MLA Handbook (7th Edition):

Li, Zeda. “Multivariate Nonstationary Time Series: Spectrum Analysis and Dimension Reduction.” 2018. Web. 03 Jul 2020.

Vancouver:

Li Z. Multivariate Nonstationary Time Series: Spectrum Analysis and Dimension Reduction. [Internet] [Doctoral dissertation]. Temple University; 2018. [cited 2020 Jul 03]. Available from: http://digital.library.temple.edu/u?/p245801coll10,504814.

Council of Science Editors:

Li Z. Multivariate Nonstationary Time Series: Spectrum Analysis and Dimension Reduction. [Doctoral Dissertation]. Temple University; 2018. Available from: http://digital.library.temple.edu/u?/p245801coll10,504814

.