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You searched for +publisher:"Oregon State University" +contributor:("Xue, Lan"). Showing records 1 – 6 of 6 total matches.

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Oregon State University

1. Wang, Lijuan. An application of regression tree methodology in freeway travel time estimation using speed as a proxy.

Degree: MS, Industrial Engineering, 2008, Oregon State University

 Accurate freeway travel time estimation is of increasing importance for the travelers’ information and route guidance system. A non-parametric statistical methodology known as regression trees… (more)

Subjects/Keywords: Regression trees; Travel time (Traffic engineering)  – Oregon  – Data processing

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APA (6th Edition):

Wang, L. (2008). An application of regression tree methodology in freeway travel time estimation using speed as a proxy. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/9471

Chicago Manual of Style (16th Edition):

Wang, Lijuan. “An application of regression tree methodology in freeway travel time estimation using speed as a proxy.” 2008. Masters Thesis, Oregon State University. Accessed December 04, 2020. http://hdl.handle.net/1957/9471.

MLA Handbook (7th Edition):

Wang, Lijuan. “An application of regression tree methodology in freeway travel time estimation using speed as a proxy.” 2008. Web. 04 Dec 2020.

Vancouver:

Wang L. An application of regression tree methodology in freeway travel time estimation using speed as a proxy. [Internet] [Masters thesis]. Oregon State University; 2008. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1957/9471.

Council of Science Editors:

Wang L. An application of regression tree methodology in freeway travel time estimation using speed as a proxy. [Masters Thesis]. Oregon State University; 2008. Available from: http://hdl.handle.net/1957/9471


Oregon State University

2. Wang, Lu. Nonparametric Estimation of Additive Models with Shape Constraints.

Degree: PhD, Statistics, 2016, Oregon State University

 Monotone additive models are useful in estimating productivity curves or analyzing disease risk where the predictors are known to have monotonic effects on the response.… (more)

Subjects/Keywords: Additive model; Nonparametric statistics

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APA (6th Edition):

Wang, L. (2016). Nonparametric Estimation of Additive Models with Shape Constraints. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/59111

Chicago Manual of Style (16th Edition):

Wang, Lu. “Nonparametric Estimation of Additive Models with Shape Constraints.” 2016. Doctoral Dissertation, Oregon State University. Accessed December 04, 2020. http://hdl.handle.net/1957/59111.

MLA Handbook (7th Edition):

Wang, Lu. “Nonparametric Estimation of Additive Models with Shape Constraints.” 2016. Web. 04 Dec 2020.

Vancouver:

Wang L. Nonparametric Estimation of Additive Models with Shape Constraints. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1957/59111.

Council of Science Editors:

Wang L. Nonparametric Estimation of Additive Models with Shape Constraints. [Doctoral Dissertation]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59111


Oregon State University

3. Zheng, Jianfei. Inference about Missing Mechanisms in Longitudinal Studies with a Refreshment Sample.

Degree: PhD, 2017, Oregon State University

 Missing data is one of the major methodological problems in longitudinal studies. It not only reduces the sample size, but also can result in biased… (more)

Subjects/Keywords: Missing mechanism

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APA (6th Edition):

Zheng, J. (2017). Inference about Missing Mechanisms in Longitudinal Studies with a Refreshment Sample. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/61846

Chicago Manual of Style (16th Edition):

Zheng, Jianfei. “Inference about Missing Mechanisms in Longitudinal Studies with a Refreshment Sample.” 2017. Doctoral Dissertation, Oregon State University. Accessed December 04, 2020. http://hdl.handle.net/1957/61846.

MLA Handbook (7th Edition):

Zheng, Jianfei. “Inference about Missing Mechanisms in Longitudinal Studies with a Refreshment Sample.” 2017. Web. 04 Dec 2020.

Vancouver:

Zheng J. Inference about Missing Mechanisms in Longitudinal Studies with a Refreshment Sample. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1957/61846.

Council of Science Editors:

Zheng J. Inference about Missing Mechanisms in Longitudinal Studies with a Refreshment Sample. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61846


Oregon State University

4. Gaynor, Robert C. (Robert Christopher). Quantitative trait loci mapping of yield, its related traits, and spike morphology factors in winter wheat (Triticum aestivum L.).

Degree: MS, Crop Science, 2010, Oregon State University

 Increasing grain yield in wheat (Triticum aestivum L.) is a challenging task, because yield is a complex trait controlled by many genes and highly influenced… (more)

Subjects/Keywords: wheat; Winter wheat  – Yields

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APA (6th Edition):

Gaynor, R. C. (. C. (2010). Quantitative trait loci mapping of yield, its related traits, and spike morphology factors in winter wheat (Triticum aestivum L.). (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/16255

Chicago Manual of Style (16th Edition):

Gaynor, Robert C (Robert Christopher). “Quantitative trait loci mapping of yield, its related traits, and spike morphology factors in winter wheat (Triticum aestivum L.).” 2010. Masters Thesis, Oregon State University. Accessed December 04, 2020. http://hdl.handle.net/1957/16255.

MLA Handbook (7th Edition):

Gaynor, Robert C (Robert Christopher). “Quantitative trait loci mapping of yield, its related traits, and spike morphology factors in winter wheat (Triticum aestivum L.).” 2010. Web. 04 Dec 2020.

Vancouver:

Gaynor RC(C. Quantitative trait loci mapping of yield, its related traits, and spike morphology factors in winter wheat (Triticum aestivum L.). [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1957/16255.

Council of Science Editors:

Gaynor RC(C. Quantitative trait loci mapping of yield, its related traits, and spike morphology factors in winter wheat (Triticum aestivum L.). [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/16255


Oregon State University

5. Xie, Fei. Calibrating the highway safety manual predictive methods for Oregon rural state highways.

Degree: MS, Civil Engineering, 2011, Oregon State University

 The first edition of the Highway Safety Manual (HSM) provides a quantitative approach to predict the safety of transportation facilities based on the recently developed… (more)

Subjects/Keywords: Highway Safety Manual

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APA (6th Edition):

Xie, F. (2011). Calibrating the highway safety manual predictive methods for Oregon rural state highways. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/20583

Chicago Manual of Style (16th Edition):

Xie, Fei. “Calibrating the highway safety manual predictive methods for Oregon rural state highways.” 2011. Masters Thesis, Oregon State University. Accessed December 04, 2020. http://hdl.handle.net/1957/20583.

MLA Handbook (7th Edition):

Xie, Fei. “Calibrating the highway safety manual predictive methods for Oregon rural state highways.” 2011. Web. 04 Dec 2020.

Vancouver:

Xie F. Calibrating the highway safety manual predictive methods for Oregon rural state highways. [Internet] [Masters thesis]. Oregon State University; 2011. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1957/20583.

Council of Science Editors:

Xie F. Calibrating the highway safety manual predictive methods for Oregon rural state highways. [Masters Thesis]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/20583

6. Jiang, Shuping. Variable selection in semi-parametric models.

Degree: PhD, Statistics, 2013, Oregon State University

 We consider two semiparametric regression models for data analysis, the stochastic additive model (SAM) for nonlinear time series data and the additive coefficient model (ACM)… (more)

Subjects/Keywords: Semi-parametric Models; Regression analysis

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APA (6th Edition):

Jiang, S. (2013). Variable selection in semi-parametric models. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/40642

Chicago Manual of Style (16th Edition):

Jiang, Shuping. “Variable selection in semi-parametric models.” 2013. Doctoral Dissertation, Oregon State University. Accessed December 04, 2020. http://hdl.handle.net/1957/40642.

MLA Handbook (7th Edition):

Jiang, Shuping. “Variable selection in semi-parametric models.” 2013. Web. 04 Dec 2020.

Vancouver:

Jiang S. Variable selection in semi-parametric models. [Internet] [Doctoral dissertation]. Oregon State University; 2013. [cited 2020 Dec 04]. Available from: http://hdl.handle.net/1957/40642.

Council of Science Editors:

Jiang S. Variable selection in semi-parametric models. [Doctoral Dissertation]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/40642

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