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You searched for +publisher:"Colorado State University" +contributor:("Cooley, Dan"). Showing records 1 – 9 of 9 total matches.

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Colorado State University

1. Wolding, Brandon. Moist static energy and the Madden-Julian oscillation: understanding initiation, maintenance and propagation through the application of novel diagnostics.

Degree: MS(M.S.), Atmospheric Science, 2014, Colorado State University

 As the dominant mode of tropical intraseasonal variability, the Madden-Julian Oscillation (MJO) has enormous societal impacts. Despite four decades of research motivated by these impacts,… (more)

Subjects/Keywords: intraseasonal oscillation; moisture mode; moisture budget; moist static energy; Madden-Julian oscillation

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APA (6th Edition):

Wolding, B. (2014). Moist static energy and the Madden-Julian oscillation: understanding initiation, maintenance and propagation through the application of novel diagnostics. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/82484

Chicago Manual of Style (16th Edition):

Wolding, Brandon. “Moist static energy and the Madden-Julian oscillation: understanding initiation, maintenance and propagation through the application of novel diagnostics.” 2014. Masters Thesis, Colorado State University. Accessed November 29, 2020. http://hdl.handle.net/10217/82484.

MLA Handbook (7th Edition):

Wolding, Brandon. “Moist static energy and the Madden-Julian oscillation: understanding initiation, maintenance and propagation through the application of novel diagnostics.” 2014. Web. 29 Nov 2020.

Vancouver:

Wolding B. Moist static energy and the Madden-Julian oscillation: understanding initiation, maintenance and propagation through the application of novel diagnostics. [Internet] [Masters thesis]. Colorado State University; 2014. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10217/82484.

Council of Science Editors:

Wolding B. Moist static energy and the Madden-Julian oscillation: understanding initiation, maintenance and propagation through the application of novel diagnostics. [Masters Thesis]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/82484


Colorado State University

2. Weller, Zachary D. Nonparametric tests of spatial isotropy and a calibration-capture-recapture model.

Degree: PhD, Statistics, 2017, Colorado State University

 In this dissertation we present applied, theoretical, and methodological advances in the statistical analysis of spatially-referenced and capture-recapture data. An important step in modeling spatially… (more)

Subjects/Keywords: Google; methane; spatial statistics; isotropy; capture-recapture; R software

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APA (6th Edition):

Weller, Z. D. (2017). Nonparametric tests of spatial isotropy and a calibration-capture-recapture model. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/181344

Chicago Manual of Style (16th Edition):

Weller, Zachary D. “Nonparametric tests of spatial isotropy and a calibration-capture-recapture model.” 2017. Doctoral Dissertation, Colorado State University. Accessed November 29, 2020. http://hdl.handle.net/10217/181344.

MLA Handbook (7th Edition):

Weller, Zachary D. “Nonparametric tests of spatial isotropy and a calibration-capture-recapture model.” 2017. Web. 29 Nov 2020.

Vancouver:

Weller ZD. Nonparametric tests of spatial isotropy and a calibration-capture-recapture model. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10217/181344.

Council of Science Editors:

Weller ZD. Nonparametric tests of spatial isotropy and a calibration-capture-recapture model. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181344


Colorado State University

3. Cooley, Jennifer. Use of developmental speech and language training through music to enhance quick incidental learning in children with autism spectrum disorders, The.

Degree: Master of Music (M.M.), Music, Theatre, and Dance, 2012, Colorado State University

 Given vocabulary acquisition in individuals with Autism Spectrum Disorder (ASD) is an important concern, it is necessary to investigate potential treatments that enhance children's ability… (more)

Subjects/Keywords: autism; word learning; QUIL; music therapy

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APA (6th Edition):

Cooley, J. (2012). Use of developmental speech and language training through music to enhance quick incidental learning in children with autism spectrum disorders, The. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/65315

Chicago Manual of Style (16th Edition):

Cooley, Jennifer. “Use of developmental speech and language training through music to enhance quick incidental learning in children with autism spectrum disorders, The.” 2012. Masters Thesis, Colorado State University. Accessed November 29, 2020. http://hdl.handle.net/10217/65315.

MLA Handbook (7th Edition):

Cooley, Jennifer. “Use of developmental speech and language training through music to enhance quick incidental learning in children with autism spectrum disorders, The.” 2012. Web. 29 Nov 2020.

Vancouver:

Cooley J. Use of developmental speech and language training through music to enhance quick incidental learning in children with autism spectrum disorders, The. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10217/65315.

Council of Science Editors:

Cooley J. Use of developmental speech and language training through music to enhance quick incidental learning in children with autism spectrum disorders, The. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/65315


Colorado State University

4. Zheng, Ben. Inference for cumulative intraday return curves.

Degree: PhD, Statistics, 2018, Colorado State University

 The central theme of this dissertation is inference for cumulative intraday return (CIDR) curves computed from high frequency data. Such curves describe how the return… (more)

Subjects/Keywords: extreme value theory; large-scale multiple testing; two sample test; functional data analysis; cumulative intraday return curves; risk analysis

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APA (6th Edition):

Zheng, B. (2018). Inference for cumulative intraday return curves. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193124

Chicago Manual of Style (16th Edition):

Zheng, Ben. “Inference for cumulative intraday return curves.” 2018. Doctoral Dissertation, Colorado State University. Accessed November 29, 2020. http://hdl.handle.net/10217/193124.

MLA Handbook (7th Edition):

Zheng, Ben. “Inference for cumulative intraday return curves.” 2018. Web. 29 Nov 2020.

Vancouver:

Zheng B. Inference for cumulative intraday return curves. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10217/193124.

Council of Science Editors:

Zheng B. Inference for cumulative intraday return curves. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/193124


Colorado State University

5. Weller, Grant B. Joint tail modeling via regular variation with applications in climate and environmental studies.

Degree: PhD, Statistics, 2013, Colorado State University

 This dissertation presents applied, theoretical, and methodological advances in the statistical analysis of multivariate extreme values, employing the underlying mathematical framework of multivariate regular variation.… (more)

Subjects/Keywords: air pollution; EM algorithm; extreme precipitation; extreme value theory; hidden regular variation; regional climate models

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APA (6th Edition):

Weller, G. B. (2013). Joint tail modeling via regular variation with applications in climate and environmental studies. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/79439

Chicago Manual of Style (16th Edition):

Weller, Grant B. “Joint tail modeling via regular variation with applications in climate and environmental studies.” 2013. Doctoral Dissertation, Colorado State University. Accessed November 29, 2020. http://hdl.handle.net/10217/79439.

MLA Handbook (7th Edition):

Weller, Grant B. “Joint tail modeling via regular variation with applications in climate and environmental studies.” 2013. Web. 29 Nov 2020.

Vancouver:

Weller GB. Joint tail modeling via regular variation with applications in climate and environmental studies. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10217/79439.

Council of Science Editors:

Weller GB. Joint tail modeling via regular variation with applications in climate and environmental studies. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/79439


Colorado State University

6. Hunter, Brett D. Modeling the upper tail of the distribution of facial recognition non-match scores.

Degree: PhD, Statistics, 2016, Colorado State University

 In facial recognition applications, the upper tail of the distribution of non-match scores is of interest because existing algorithms classify a pair of images as… (more)

Subjects/Keywords: M-estimation; generalized Pareto; quantile regression

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APA (6th Edition):

Hunter, B. D. (2016). Modeling the upper tail of the distribution of facial recognition non-match scores. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/173379

Chicago Manual of Style (16th Edition):

Hunter, Brett D. “Modeling the upper tail of the distribution of facial recognition non-match scores.” 2016. Doctoral Dissertation, Colorado State University. Accessed November 29, 2020. http://hdl.handle.net/10217/173379.

MLA Handbook (7th Edition):

Hunter, Brett D. “Modeling the upper tail of the distribution of facial recognition non-match scores.” 2016. Web. 29 Nov 2020.

Vancouver:

Hunter BD. Modeling the upper tail of the distribution of facial recognition non-match scores. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10217/173379.

Council of Science Editors:

Hunter BD. Modeling the upper tail of the distribution of facial recognition non-match scores. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173379


Colorado State University

7. Klausner, Nicholas Harold. Detection of multiple correlated time series and its application in synthetic aperture sonar imagery.

Degree: PhD, Electrical and Computer Engineering, 2014, Colorado State University

 Detecting the presence of a common but unknown signal among two or more data channels is a problem that finds its uses in many applications,… (more)

Subjects/Keywords: broadband coherence; generalized coherence; generalized likelihood ratio test; multichannel signal detection; synthetic aperture sonar

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APA (6th Edition):

Klausner, N. H. (2014). Detection of multiple correlated time series and its application in synthetic aperture sonar imagery. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/83747

Chicago Manual of Style (16th Edition):

Klausner, Nicholas Harold. “Detection of multiple correlated time series and its application in synthetic aperture sonar imagery.” 2014. Doctoral Dissertation, Colorado State University. Accessed November 29, 2020. http://hdl.handle.net/10217/83747.

MLA Handbook (7th Edition):

Klausner, Nicholas Harold. “Detection of multiple correlated time series and its application in synthetic aperture sonar imagery.” 2014. Web. 29 Nov 2020.

Vancouver:

Klausner NH. Detection of multiple correlated time series and its application in synthetic aperture sonar imagery. [Internet] [Doctoral dissertation]. Colorado State University; 2014. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10217/83747.

Council of Science Editors:

Klausner NH. Detection of multiple correlated time series and its application in synthetic aperture sonar imagery. [Doctoral Dissertation]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/83747

8. Vollmer, Charles T. Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling.

Degree: PhD, Statistics, 2019, Colorado State University

 Modeling nuclear radiation damage necessarily involves multiple scales in both time and space, where molecular-level models have drastically different assumptions and phenomena than continuumlevel models.… (more)

Subjects/Keywords: materials modeling; multiscale; stochastic processes; multiphysics; cellular automata; probabilistic cellular automata

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APA (6th Edition):

Vollmer, C. T. (2019). Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/195397

Chicago Manual of Style (16th Edition):

Vollmer, Charles T. “Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling.” 2019. Doctoral Dissertation, Colorado State University. Accessed November 29, 2020. http://hdl.handle.net/10217/195397.

MLA Handbook (7th Edition):

Vollmer, Charles T. “Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling.” 2019. Web. 29 Nov 2020.

Vancouver:

Vollmer CT. Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10217/195397.

Council of Science Editors:

Vollmer CT. Statistical upscaling of stochastic forcing in multiscale, multiphysics modeling. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195397


Colorado State University

9. Klausner, Nicholas Harold. Underwater target detection using multiple disparate sonar platforms.

Degree: MS(M.S.), Electrical and Computer Engineering, 2010, Colorado State University

 The detection of underwater objects from sonar imagery presents a difficult problem due to various factors such as variations in the operating and environmental conditions,… (more)

Subjects/Keywords: underwater target detection; multi-channel coherence analysis; likelihood updating; binary hypothesis testing; Sonar

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APA (6th Edition):

Klausner, N. H. (2010). Underwater target detection using multiple disparate sonar platforms. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/44963

Chicago Manual of Style (16th Edition):

Klausner, Nicholas Harold. “Underwater target detection using multiple disparate sonar platforms.” 2010. Masters Thesis, Colorado State University. Accessed November 29, 2020. http://hdl.handle.net/10217/44963.

MLA Handbook (7th Edition):

Klausner, Nicholas Harold. “Underwater target detection using multiple disparate sonar platforms.” 2010. Web. 29 Nov 2020.

Vancouver:

Klausner NH. Underwater target detection using multiple disparate sonar platforms. [Internet] [Masters thesis]. Colorado State University; 2010. [cited 2020 Nov 29]. Available from: http://hdl.handle.net/10217/44963.

Council of Science Editors:

Klausner NH. Underwater target detection using multiple disparate sonar platforms. [Masters Thesis]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/44963

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