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You searched for +publisher:"University of Southern California" +contributor:("James, Gareth"). Showing records 1 – 18 of 18 total matches.

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University of Southern California

1. Qiao, Xinghao. Sparseness in functional data analysis.

Degree: PhD, Business Administration, 2015, University of Southern California

 Functional Data Analysis (FDA), a branch of statistics that analyzes data providing information about functions measured over some domain, has recently attracted more attention. In… (more)

Subjects/Keywords: functional regression; sparsely sampled functional data; high dimensional functional data; graphical models; features screening

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APA (6th Edition):

Qiao, X. (2015). Sparseness in functional data analysis. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/621510/rec/5981

Chicago Manual of Style (16th Edition):

Qiao, Xinghao. “Sparseness in functional data analysis.” 2015. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/621510/rec/5981.

MLA Handbook (7th Edition):

Qiao, Xinghao. “Sparseness in functional data analysis.” 2015. Web. 04 Dec 2020.

Vancouver:

Qiao X. Sparseness in functional data analysis. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/621510/rec/5981.

Council of Science Editors:

Qiao X. Sparseness in functional data analysis. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/621510/rec/5981


University of Southern California

2. Shi, Yemin. Penalized portfolio optimization.

Degree: MS, Mathematics, 2011, University of Southern California

 Penalization or regularization is an important integration to the traditional regression method to improve prediction accuracy, speed and adaptability for various problems. Lasso type L1-regularization… (more)

Subjects/Keywords: coordinate descent; penalized optimization; L1-penalty; LASSO; regularized regression; portfolio optimization; asset management; feature selection; LARS

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APA (6th Edition):

Shi, Y. (2011). Penalized portfolio optimization. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/456828/rec/4967

Chicago Manual of Style (16th Edition):

Shi, Yemin. “Penalized portfolio optimization.” 2011. Masters Thesis, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/456828/rec/4967.

MLA Handbook (7th Edition):

Shi, Yemin. “Penalized portfolio optimization.” 2011. Web. 04 Dec 2020.

Vancouver:

Shi Y. Penalized portfolio optimization. [Internet] [Masters thesis]. University of Southern California; 2011. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/456828/rec/4967.

Council of Science Editors:

Shi Y. Penalized portfolio optimization. [Masters Thesis]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/456828/rec/4967


University of Southern California

3. Wang, Jianghao. Taking the temperature of the Common Era: statistics, patterns and dynamical insights.

Degree: PhD, Geological Sciences, 2016, University of Southern California

 The Common Era is essential for our understanding of natural climate variability. It places current climate change into a context broad enough to study decadal… (more)

Subjects/Keywords: paleoclimate proxy; surface temperature change; climate field reconstruction; low-frequency climate variability; paleoclimate data-model comparison

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APA (6th Edition):

Wang, J. (2016). Taking the temperature of the Common Era: statistics, patterns and dynamical insights. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/618342/rec/6319

Chicago Manual of Style (16th Edition):

Wang, Jianghao. “Taking the temperature of the Common Era: statistics, patterns and dynamical insights.” 2016. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/618342/rec/6319.

MLA Handbook (7th Edition):

Wang, Jianghao. “Taking the temperature of the Common Era: statistics, patterns and dynamical insights.” 2016. Web. 04 Dec 2020.

Vancouver:

Wang J. Taking the temperature of the Common Era: statistics, patterns and dynamical insights. [Internet] [Doctoral dissertation]. University of Southern California; 2016. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/618342/rec/6319.

Council of Science Editors:

Wang J. Taking the temperature of the Common Era: statistics, patterns and dynamical insights. [Doctoral Dissertation]. University of Southern California; 2016. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/618342/rec/6319


University of Southern California

4. Tirunillai, Seshadri N. Essays on user-generated content and firm performance.

Degree: PhD, Business Administration, 2011, University of Southern California

 User-Generated Content (UGC) in online platforms provides a valuable source of consumer feedback on market performance of firms. This dissertation examines how User- Generated Content… (more)

Subjects/Keywords: user-generated content; stock returns

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APA (6th Edition):

Tirunillai, S. N. (2011). Essays on user-generated content and firm performance. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/633057/rec/2494

Chicago Manual of Style (16th Edition):

Tirunillai, Seshadri N. “Essays on user-generated content and firm performance.” 2011. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/633057/rec/2494.

MLA Handbook (7th Edition):

Tirunillai, Seshadri N. “Essays on user-generated content and firm performance.” 2011. Web. 04 Dec 2020.

Vancouver:

Tirunillai SN. Essays on user-generated content and firm performance. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/633057/rec/2494.

Council of Science Editors:

Tirunillai SN. Essays on user-generated content and firm performance. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/633057/rec/2494


University of Southern California

5. Das, Abhimanyu. Subset selection algorithms for prediction.

Degree: PhD, Computer Science, 2011, University of Southern California

 In this dissertation, we study the subset selection problem for prediction. It deals with choosing the “best” or “most informative” k-subset from a large set… (more)

Subjects/Keywords: approximation algorithms; machine learning; regression; feature selection; sparse approximation; compressed sensing; submodularity

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APA (6th Edition):

Das, A. (2011). Subset selection algorithms for prediction. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/644551/rec/6197

Chicago Manual of Style (16th Edition):

Das, Abhimanyu. “Subset selection algorithms for prediction.” 2011. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/644551/rec/6197.

MLA Handbook (7th Edition):

Das, Abhimanyu. “Subset selection algorithms for prediction.” 2011. Web. 04 Dec 2020.

Vancouver:

Das A. Subset selection algorithms for prediction. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/644551/rec/6197.

Council of Science Editors:

Das A. Subset selection algorithms for prediction. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/644551/rec/6197


University of Southern California

6. Oh, Joo Hee. Piracy propagation of information goods: theory, measurement and application.

Degree: PhD, Business Administration, 2011, University of Southern California

 Digital technologies have transformed the traditional structure of production and promotion planning for new information goods. Studies, up to now, have examined implications of file… (more)

Subjects/Keywords: Information goods; piracy; new product diffusion

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APA (6th Edition):

Oh, J. H. (2011). Piracy propagation of information goods: theory, measurement and application. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/623442/rec/5054

Chicago Manual of Style (16th Edition):

Oh, Joo Hee. “Piracy propagation of information goods: theory, measurement and application.” 2011. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/623442/rec/5054.

MLA Handbook (7th Edition):

Oh, Joo Hee. “Piracy propagation of information goods: theory, measurement and application.” 2011. Web. 04 Dec 2020.

Vancouver:

Oh JH. Piracy propagation of information goods: theory, measurement and application. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/623442/rec/5054.

Council of Science Editors:

Oh JH. Piracy propagation of information goods: theory, measurement and application. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/623442/rec/5054


University of Southern California

7. Pazokifard, Babak. Locating and quantifying sources of air pollution by nonparametric trajectory analysis.

Degree: PhD, Environmental Engineering, 2007, University of Southern California

 In order to improve air quality, it is necessary to identify the sources of airborne pollution. Local emissions are more controllable compared to regional emissions… (more)

Subjects/Keywords: air pollution modeling; hybrid model

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APA (6th Edition):

Pazokifard, B. (2007). Locating and quantifying sources of air pollution by nonparametric trajectory analysis. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/590522/rec/3857

Chicago Manual of Style (16th Edition):

Pazokifard, Babak. “Locating and quantifying sources of air pollution by nonparametric trajectory analysis.” 2007. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/590522/rec/3857.

MLA Handbook (7th Edition):

Pazokifard, Babak. “Locating and quantifying sources of air pollution by nonparametric trajectory analysis.” 2007. Web. 04 Dec 2020.

Vancouver:

Pazokifard B. Locating and quantifying sources of air pollution by nonparametric trajectory analysis. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/590522/rec/3857.

Council of Science Editors:

Pazokifard B. Locating and quantifying sources of air pollution by nonparametric trajectory analysis. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/590522/rec/3857


University of Southern California

8. Grover, Dhruv. Real-time tracking and analysis of Drosophila behavior and gene expression.

Degree: PhD, Computational Biology & Bioinformatics, 2009, University of Southern California

 This thesis describes new methods that make it possible to screen efficiently complex behavioral phenotypes in the fruit fly, Drosophila melanogaster. The behaviors of interest… (more)

Subjects/Keywords: behavior recognition; Drosophila activity monitoring; fluorescent reporter tracking; trajectory matching

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APA (6th Edition):

Grover, D. (2009). Real-time tracking and analysis of Drosophila behavior and gene expression. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/228054/rec/5430

Chicago Manual of Style (16th Edition):

Grover, Dhruv. “Real-time tracking and analysis of Drosophila behavior and gene expression.” 2009. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/228054/rec/5430.

MLA Handbook (7th Edition):

Grover, Dhruv. “Real-time tracking and analysis of Drosophila behavior and gene expression.” 2009. Web. 04 Dec 2020.

Vancouver:

Grover D. Real-time tracking and analysis of Drosophila behavior and gene expression. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/228054/rec/5430.

Council of Science Editors:

Grover D. Real-time tracking and analysis of Drosophila behavior and gene expression. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/228054/rec/5430


University of Southern California

9. Xu, Min. Integrative analysis of gene expression and phenotype data.

Degree: PhD, Computational Biology & Bioinformatics, 2009, University of Southern California

 The linking genotype to phenotype is the fundamental aim of modern genetics. We focus on study of links between gene expression data and phenotype data… (more)

Subjects/Keywords: phenotype; association analysis; gene expression analysis; machine learning; gene network analysis

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APA (6th Edition):

Xu, M. (2009). Integrative analysis of gene expression and phenotype data. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/405031/rec/3553

Chicago Manual of Style (16th Edition):

Xu, Min. “Integrative analysis of gene expression and phenotype data.” 2009. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/405031/rec/3553.

MLA Handbook (7th Edition):

Xu, Min. “Integrative analysis of gene expression and phenotype data.” 2009. Web. 04 Dec 2020.

Vancouver:

Xu M. Integrative analysis of gene expression and phenotype data. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/405031/rec/3553.

Council of Science Editors:

Xu M. Integrative analysis of gene expression and phenotype data. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/405031/rec/3553


University of Southern California

10. Pan, Chien-Cheng. Identifying and quantifying the impact of air pollution source areas by nonparametric trajectory analysis.

Degree: PhD, Environmental Engineering, 2008, University of Southern California

 In order to improve air quality, it is necessary to identify and quantify the sources of airborne pollution. Local emissions are more easily to control… (more)

Subjects/Keywords: nonparameric regression; back trajectory; air quality model; hybrid model

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APA (6th Edition):

Pan, C. (2008). Identifying and quantifying the impact of air pollution source areas by nonparametric trajectory analysis. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/144913/rec/3332

Chicago Manual of Style (16th Edition):

Pan, Chien-Cheng. “Identifying and quantifying the impact of air pollution source areas by nonparametric trajectory analysis.” 2008. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/144913/rec/3332.

MLA Handbook (7th Edition):

Pan, Chien-Cheng. “Identifying and quantifying the impact of air pollution source areas by nonparametric trajectory analysis.” 2008. Web. 04 Dec 2020.

Vancouver:

Pan C. Identifying and quantifying the impact of air pollution source areas by nonparametric trajectory analysis. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/144913/rec/3332.

Council of Science Editors:

Pan C. Identifying and quantifying the impact of air pollution source areas by nonparametric trajectory analysis. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/144913/rec/3332


University of Southern California

11. McCrow, John Pitkin. Alignment of phylogenetically unambiguous indels for genome-wide phylogenetic analysis and detection of lateral gene transfer.

Degree: PhD, Computational Biology & Bioinformatics, 2008, University of Southern California

 The evolutionary histories of genomes and of individual genes are important for understanding the genetic basis of microbial physiology. Genes that have a different history… (more)

Subjects/Keywords: indels; Shewanella; lateral gene transfer

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APA (6th Edition):

McCrow, J. P. (2008). Alignment of phylogenetically unambiguous indels for genome-wide phylogenetic analysis and detection of lateral gene transfer. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/102089/rec/611

Chicago Manual of Style (16th Edition):

McCrow, John Pitkin. “Alignment of phylogenetically unambiguous indels for genome-wide phylogenetic analysis and detection of lateral gene transfer.” 2008. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/102089/rec/611.

MLA Handbook (7th Edition):

McCrow, John Pitkin. “Alignment of phylogenetically unambiguous indels for genome-wide phylogenetic analysis and detection of lateral gene transfer.” 2008. Web. 04 Dec 2020.

Vancouver:

McCrow JP. Alignment of phylogenetically unambiguous indels for genome-wide phylogenetic analysis and detection of lateral gene transfer. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/102089/rec/611.

Council of Science Editors:

McCrow JP. Alignment of phylogenetically unambiguous indels for genome-wide phylogenetic analysis and detection of lateral gene transfer. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/102089/rec/611


University of Southern California

12. Nunez-Iglesias, Juan. New analysis methods for microarray data.

Degree: PhD, Computational Biology & Bioinformatics, 2009, University of Southern California

 Microarray technology allows the simultaneous measurement of RNA levels in a cell culture or tissue sample. This has resulted in the generation of vast amounts… (more)

Subjects/Keywords: microarray analysis; nonparametric statistics; permutation; Alzheimer'; s disease; microRNA; miRNA; coexpression networks; graph statistics

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APA (6th Edition):

Nunez-Iglesias, J. (2009). New analysis methods for microarray data. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/271187/rec/4394

Chicago Manual of Style (16th Edition):

Nunez-Iglesias, Juan. “New analysis methods for microarray data.” 2009. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/271187/rec/4394.

MLA Handbook (7th Edition):

Nunez-Iglesias, Juan. “New analysis methods for microarray data.” 2009. Web. 04 Dec 2020.

Vancouver:

Nunez-Iglesias J. New analysis methods for microarray data. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/271187/rec/4394.

Council of Science Editors:

Nunez-Iglesias J. New analysis methods for microarray data. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/271187/rec/4394


University of Southern California

13. Ou, Shaosong. Interactive versus self effort: untangling the cognitive elaboration  – learning relationship on internet discussion forums.

Degree: PhD, Business Administration, 2007, University of Southern California

 Discussion forums on the Internet are becoming increasingly popular nowadays. Many have realized that these forums can create important business value by facilitating knowledge management… (more)

Subjects/Keywords: cognitive elaboration; learning; internet discussion forums

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APA (6th Edition):

Ou, S. (2007). Interactive versus self effort: untangling the cognitive elaboration  – learning relationship on internet discussion forums. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/165125/rec/3578

Chicago Manual of Style (16th Edition):

Ou, Shaosong. “Interactive versus self effort: untangling the cognitive elaboration  – learning relationship on internet discussion forums.” 2007. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/165125/rec/3578.

MLA Handbook (7th Edition):

Ou, Shaosong. “Interactive versus self effort: untangling the cognitive elaboration  – learning relationship on internet discussion forums.” 2007. Web. 04 Dec 2020.

Vancouver:

Ou S. Interactive versus self effort: untangling the cognitive elaboration  – learning relationship on internet discussion forums. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/165125/rec/3578.

Council of Science Editors:

Ou S. Interactive versus self effort: untangling the cognitive elaboration  – learning relationship on internet discussion forums. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/165125/rec/3578


University of Southern California

14. Ge, Huanying. Statistical analysis of microarray data and functional genomics of yeast ageing.

Degree: PhD, Computational Biology & Bioinformatics, 2009, University of Southern California

 This dissertation focuses on the computational biology researches using Affymetrix microarray technology. It consists of two parts, focusing on two different levels of statistical analysis… (more)

Subjects/Keywords: microarray; summarization model; outlier probe; yeast ageing; longevity; SCH9

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APA (6th Edition):

Ge, H. (2009). Statistical analysis of microarray data and functional genomics of yeast ageing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/236659/rec/6048

Chicago Manual of Style (16th Edition):

Ge, Huanying. “Statistical analysis of microarray data and functional genomics of yeast ageing.” 2009. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/236659/rec/6048.

MLA Handbook (7th Edition):

Ge, Huanying. “Statistical analysis of microarray data and functional genomics of yeast ageing.” 2009. Web. 04 Dec 2020.

Vancouver:

Ge H. Statistical analysis of microarray data and functional genomics of yeast ageing. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/236659/rec/6048.

Council of Science Editors:

Ge H. Statistical analysis of microarray data and functional genomics of yeast ageing. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/236659/rec/6048


University of Southern California

15. Chandrasekaran, Deepa. Essays on the turning points of the product life cycle.

Degree: PhD, Management, 2009, University of Southern California

 This dissertation examines how and why diffusion of new products varies across products, countries and time. The word product refers to a product category and… (more)

Subjects/Keywords: diffusion; new product; innovation management; international marketing strategy; hazard models

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APA (6th Edition):

Chandrasekaran, D. (2009). Essays on the turning points of the product life cycle. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/493444/rec/2492

Chicago Manual of Style (16th Edition):

Chandrasekaran, Deepa. “Essays on the turning points of the product life cycle.” 2009. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/493444/rec/2492.

MLA Handbook (7th Edition):

Chandrasekaran, Deepa. “Essays on the turning points of the product life cycle.” 2009. Web. 04 Dec 2020.

Vancouver:

Chandrasekaran D. Essays on the turning points of the product life cycle. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/493444/rec/2492.

Council of Science Editors:

Chandrasekaran D. Essays on the turning points of the product life cycle. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/493444/rec/2492


University of Southern California

16. Ng, Tan Hung Marie. Significance testings in regression analyses.

Degree: PhD, Psychology, 2008, University of Southern California

 Ordinary least squares is one of the most popular approaches for fitting regression models in the social sciences. However, it has been well documented that… (more)

Subjects/Keywords: heteroscedasticity; interaction; nonnormality; outliers; regression; significance tests

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

APA (6th Edition):

Ng, T. H. M. (2008). Significance testings in regression analyses. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/130195/rec/5855

Chicago Manual of Style (16th Edition):

Ng, Tan Hung Marie. “Significance testings in regression analyses.” 2008. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/130195/rec/5855.

MLA Handbook (7th Edition):

Ng, Tan Hung Marie. “Significance testings in regression analyses.” 2008. Web. 04 Dec 2020.

Vancouver:

Ng THM. Significance testings in regression analyses. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/130195/rec/5855.

Council of Science Editors:

Ng THM. Significance testings in regression analyses. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/130195/rec/5855


University of Southern California

17. Fraser, Alexander M. Improved word alignments for statistical machine translation.

Degree: PhD, Computer Science, 2007, University of Southern California

 All state of the art statistical machine translation systems and many example-based machine translation systems depend on an annotation of word-level translational correspondence between sets… (more)

Subjects/Keywords: word alignment; machine translation; semi-supervised learning; statistical machine translation; discriminative models; generative models

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

APA (6th Edition):

Fraser, A. M. (2007). Improved word alignments for statistical machine translation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/581561/rec/3406

Chicago Manual of Style (16th Edition):

Fraser, Alexander M. “Improved word alignments for statistical machine translation.” 2007. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/581561/rec/3406.

MLA Handbook (7th Edition):

Fraser, Alexander M. “Improved word alignments for statistical machine translation.” 2007. Web. 04 Dec 2020.

Vancouver:

Fraser AM. Improved word alignments for statistical machine translation. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/581561/rec/3406.

Council of Science Editors:

Fraser AM. Improved word alignments for statistical machine translation. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/581561/rec/3406


University of Southern California

18. Duchin, Ran. Cash holdings and corporate diversification.

Degree: PhD, Business Administration, 2008, University of Southern California

 This study documents a strong connection between corporate cash holdings and organization form, and explores why such a relation exists. Over the period 1990-2004, U.S.… (more)

Subjects/Keywords: cash; diversification; liquidity; cross-divisional correlation

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

APA (6th Edition):

Duchin, R. (2008). Cash holdings and corporate diversification. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/67839/rec/1249

Chicago Manual of Style (16th Edition):

Duchin, Ran. “Cash holdings and corporate diversification.” 2008. Doctoral Dissertation, University of Southern California. Accessed December 04, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/67839/rec/1249.

MLA Handbook (7th Edition):

Duchin, Ran. “Cash holdings and corporate diversification.” 2008. Web. 04 Dec 2020.

Vancouver:

Duchin R. Cash holdings and corporate diversification. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2020 Dec 04]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/67839/rec/1249.

Council of Science Editors:

Duchin R. Cash holdings and corporate diversification. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/67839/rec/1249

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