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You searched for subject:(Count Data). Showing records 1 – 30 of 78 total matches.

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Northeastern University

1. Bosowski, Nicholas Michael. Linear and log-linear models for count time series analysis.

Degree: MS, Department of Electrical and Computer Engineering, 2016, Northeastern University

 Modeling count data is a topic of interest in many applications. Traditional time series assume continuous data with a normal distribution, which is not appropriate… (more)

Subjects/Keywords: linear count models; log-linear count models; count data; Poisson model

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

APA (6th Edition):

Bosowski, N. M. (2016). Linear and log-linear models for count time series analysis. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20236843

Chicago Manual of Style (16th Edition):

Bosowski, Nicholas Michael. “Linear and log-linear models for count time series analysis.” 2016. Masters Thesis, Northeastern University. Accessed June 24, 2019. http://hdl.handle.net/2047/D20236843.

MLA Handbook (7th Edition):

Bosowski, Nicholas Michael. “Linear and log-linear models for count time series analysis.” 2016. Web. 24 Jun 2019.

Vancouver:

Bosowski NM. Linear and log-linear models for count time series analysis. [Internet] [Masters thesis]. Northeastern University; 2016. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/2047/D20236843.

Council of Science Editors:

Bosowski NM. Linear and log-linear models for count time series analysis. [Masters Thesis]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20236843


University of South Carolina

2. Rahimighazikalayeh, Gelareh. Adjusting For Mis-Reporting In Count Data.

Degree: PhD, 2018, University of South Carolina

  Any counting system is prone to recording errors including underreporting and overreporting. Ignoring the misreporting pattern in count data can give rise to bias… (more)

Subjects/Keywords: Biostatistics; Adjusting; Mis-Reporting; Count Data

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APA (6th Edition):

Rahimighazikalayeh, G. (2018). Adjusting For Mis-Reporting In Count Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5097

Chicago Manual of Style (16th Edition):

Rahimighazikalayeh, Gelareh. “Adjusting For Mis-Reporting In Count Data.” 2018. Doctoral Dissertation, University of South Carolina. Accessed June 24, 2019. https://scholarcommons.sc.edu/etd/5097.

MLA Handbook (7th Edition):

Rahimighazikalayeh, Gelareh. “Adjusting For Mis-Reporting In Count Data.” 2018. Web. 24 Jun 2019.

Vancouver:

Rahimighazikalayeh G. Adjusting For Mis-Reporting In Count Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2018. [cited 2019 Jun 24]. Available from: https://scholarcommons.sc.edu/etd/5097.

Council of Science Editors:

Rahimighazikalayeh G. Adjusting For Mis-Reporting In Count Data. [Doctoral Dissertation]. University of South Carolina; 2018. Available from: https://scholarcommons.sc.edu/etd/5097


IUPUI

3. Zhao, Xiaofeng. Regression analysis of big count data via a-optimal subsampling.

Degree: 2018, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

There are two computational bottlenecks for Big Data analysis: (1) the data is too large for a desktop to store,… (more)

Subjects/Keywords: Big Count Data; A-optimal; Regression

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APA (6th Edition):

Zhao, X. (2018). Regression analysis of big count data via a-optimal subsampling. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/16870

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhao, Xiaofeng. “Regression analysis of big count data via a-optimal subsampling.” 2018. Thesis, IUPUI. Accessed June 24, 2019. http://hdl.handle.net/1805/16870.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhao, Xiaofeng. “Regression analysis of big count data via a-optimal subsampling.” 2018. Web. 24 Jun 2019.

Vancouver:

Zhao X. Regression analysis of big count data via a-optimal subsampling. [Internet] [Thesis]. IUPUI; 2018. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/1805/16870.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhao X. Regression analysis of big count data via a-optimal subsampling. [Thesis]. IUPUI; 2018. Available from: http://hdl.handle.net/1805/16870

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cornell University

4. Morris, Darcy. Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics .

Degree: 2012, Cornell University

 Quality and quantity of social science data is continually improving, from large publicuse survey microdata to private industry data. This wealth of data allows researchers… (more)

Subjects/Keywords: Random Effects Models; Unobserved; Heterogeneity; Count Data; Duration; Data; Longitudinal Data Analysis.

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APA (6th Edition):

Morris, D. (2012). Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/31012

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Morris, Darcy. “Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics .” 2012. Thesis, Cornell University. Accessed June 24, 2019. http://hdl.handle.net/1813/31012.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Morris, Darcy. “Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics .” 2012. Web. 24 Jun 2019.

Vancouver:

Morris D. Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics . [Internet] [Thesis]. Cornell University; 2012. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/1813/31012.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Morris D. Methods For Multivariate Longitudinal Count And Duration Models With Applications In Economics . [Thesis]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31012

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Georgia

5. Zheng, Haitao. Inference for time series models for count data.

Degree: PhD, Statistics, 2005, University of Georgia

 Integer-valued time series data or count data arise naturally in many areas including finance, health science , biology, medicine, epidemiology, economics, etc. Several models and… (more)

Subjects/Keywords: Models for count data

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APA (6th Edition):

Zheng, H. (2005). Inference for time series models for count data. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/zheng_haitao_200508_phd

Chicago Manual of Style (16th Edition):

Zheng, Haitao. “Inference for time series models for count data.” 2005. Doctoral Dissertation, University of Georgia. Accessed June 24, 2019. http://purl.galileo.usg.edu/uga_etd/zheng_haitao_200508_phd.

MLA Handbook (7th Edition):

Zheng, Haitao. “Inference for time series models for count data.” 2005. Web. 24 Jun 2019.

Vancouver:

Zheng H. Inference for time series models for count data. [Internet] [Doctoral dissertation]. University of Georgia; 2005. [cited 2019 Jun 24]. Available from: http://purl.galileo.usg.edu/uga_etd/zheng_haitao_200508_phd.

Council of Science Editors:

Zheng H. Inference for time series models for count data. [Doctoral Dissertation]. University of Georgia; 2005. Available from: http://purl.galileo.usg.edu/uga_etd/zheng_haitao_200508_phd


Iowa State University

6. Pattiz, Brian David. Count regression models for recreation demand: an application to Clear Lake.

Degree: 2009, Iowa State University

 An important objective for policy-makers is how to allocate resources for the enjoyment of its citizens. Outdoor recreation is a very popular hobby for a… (more)

Subjects/Keywords: Count Data Models; Recreation Demand; Travel Cost Method; Economics

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APA (6th Edition):

Pattiz, B. D. (2009). Count regression models for recreation demand: an application to Clear Lake. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/11108

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pattiz, Brian David. “Count regression models for recreation demand: an application to Clear Lake.” 2009. Thesis, Iowa State University. Accessed June 24, 2019. https://lib.dr.iastate.edu/etd/11108.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pattiz, Brian David. “Count regression models for recreation demand: an application to Clear Lake.” 2009. Web. 24 Jun 2019.

Vancouver:

Pattiz BD. Count regression models for recreation demand: an application to Clear Lake. [Internet] [Thesis]. Iowa State University; 2009. [cited 2019 Jun 24]. Available from: https://lib.dr.iastate.edu/etd/11108.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pattiz BD. Count regression models for recreation demand: an application to Clear Lake. [Thesis]. Iowa State University; 2009. Available from: https://lib.dr.iastate.edu/etd/11108

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

7. -4493-3358. Appropriate, accessible and appealing probabilistic graphical models.

Degree: Computer Sciences, 2017, University of Texas – Austin

 Appropriate - Many multivariate probabilistic models either use independent distributions or dependent Gaussian distributions. Yet, many real-world datasets contain count-valued or non-negative skewed data, e.g.… (more)

Subjects/Keywords: Graphical models; Topic models; Poisson; Count data; Visualization; Human computer interaction

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APA (6th Edition):

-4493-3358. (2017). Appropriate, accessible and appealing probabilistic graphical models. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62986

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-4493-3358. “Appropriate, accessible and appealing probabilistic graphical models.” 2017. Thesis, University of Texas – Austin. Accessed June 24, 2019. http://hdl.handle.net/2152/62986.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-4493-3358. “Appropriate, accessible and appealing probabilistic graphical models.” 2017. Web. 24 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-4493-3358. Appropriate, accessible and appealing probabilistic graphical models. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/2152/62986.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-4493-3358. Appropriate, accessible and appealing probabilistic graphical models. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62986

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Missouri – Columbia

8. Li, Ni. Semiparametric transformation models for panel count data.

Degree: 2011, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Panel count data arise in event history studies. It may not be feasible to monitor… (more)

Subjects/Keywords: event history studies; regression analysis; recurrent event process; panel count data

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APA (6th Edition):

Li, N. (2011). Semiparametric transformation models for panel count data. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/15856

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Ni. “Semiparametric transformation models for panel count data.” 2011. Thesis, University of Missouri – Columbia. Accessed June 24, 2019. http://hdl.handle.net/10355/15856.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Ni. “Semiparametric transformation models for panel count data.” 2011. Web. 24 Jun 2019.

Vancouver:

Li N. Semiparametric transformation models for panel count data. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10355/15856.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li N. Semiparametric transformation models for panel count data. [Thesis]. University of Missouri – Columbia; 2011. Available from: http://hdl.handle.net/10355/15856

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Arora, Monika. Extended Poisson Models for Count Data With Inflated Frequencies.

Degree: PhD, Mathematics and Statistics, 2018, Old Dominion University

Count data often exhibits inflated counts for zero. There are numerous papers in the literature that show how to fit Poisson regression models that… (more)

Subjects/Keywords: Poisson models; Count data; Mixture model; Applied Mathematics; Statistics and Probability

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APA (6th Edition):

Arora, M. (2018). Extended Poisson Models for Count Data With Inflated Frequencies. (Doctoral Dissertation). Old Dominion University. Retrieved from 9780438455085 ; https://digitalcommons.odu.edu/mathstat_etds/4

Chicago Manual of Style (16th Edition):

Arora, Monika. “Extended Poisson Models for Count Data With Inflated Frequencies.” 2018. Doctoral Dissertation, Old Dominion University. Accessed June 24, 2019. 9780438455085 ; https://digitalcommons.odu.edu/mathstat_etds/4.

MLA Handbook (7th Edition):

Arora, Monika. “Extended Poisson Models for Count Data With Inflated Frequencies.” 2018. Web. 24 Jun 2019.

Vancouver:

Arora M. Extended Poisson Models for Count Data With Inflated Frequencies. [Internet] [Doctoral dissertation]. Old Dominion University; 2018. [cited 2019 Jun 24]. Available from: 9780438455085 ; https://digitalcommons.odu.edu/mathstat_etds/4.

Council of Science Editors:

Arora M. Extended Poisson Models for Count Data With Inflated Frequencies. [Doctoral Dissertation]. Old Dominion University; 2018. Available from: 9780438455085 ; https://digitalcommons.odu.edu/mathstat_etds/4


University of Missouri – Columbia

10. Li, Ni. Semiparametric transformation models for panel count data.

Degree: 2011, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Panel count data arise in event history studies. It may not be feasible to monitor… (more)

Subjects/Keywords: event history studies; regression analysis; recurrent event process; panel count data

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APA (6th Edition):

Li, N. (2011). Semiparametric transformation models for panel count data. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/15856

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Ni. “Semiparametric transformation models for panel count data.” 2011. Thesis, University of Missouri – Columbia. Accessed June 24, 2019. https://doi.org/10.32469/10355/15856.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Ni. “Semiparametric transformation models for panel count data.” 2011. Web. 24 Jun 2019.

Vancouver:

Li N. Semiparametric transformation models for panel count data. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2019 Jun 24]. Available from: https://doi.org/10.32469/10355/15856.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li N. Semiparametric transformation models for panel count data. [Thesis]. University of Missouri – Columbia; 2011. Available from: https://doi.org/10.32469/10355/15856

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Godwin, Ryan T. Econometric analysis of non-standard count data.

Degree: Dept. of Economics, 2012, University of Victoria

 This thesis discusses various issues in the estimation of models for count data. In the first part of the thesis, we derive an analytic expression… (more)

Subjects/Keywords: econometrics; count-data; truncation; count-inflation; overdispersion

…198 x List of Figures Figure 1. Venn diagram conveying how various count data issues are… …to the issues addressed by existing count data models. ............... 111 Figure A.1… …prevalent being that the statistical models discussed pertain to count data. Data are typically… …nature. Count data arise in many areas, including medicine, demography, and various fields of… …257). In health economics, count data may occur when describing the frequency of a… 

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APA (6th Edition):

Godwin, R. T. (2012). Econometric analysis of non-standard count data. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/4315

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Godwin, Ryan T. “Econometric analysis of non-standard count data.” 2012. Thesis, University of Victoria. Accessed June 24, 2019. http://hdl.handle.net/1828/4315.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Godwin, Ryan T. “Econometric analysis of non-standard count data.” 2012. Web. 24 Jun 2019.

Vancouver:

Godwin RT. Econometric analysis of non-standard count data. [Internet] [Thesis]. University of Victoria; 2012. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/1828/4315.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Godwin RT. Econometric analysis of non-standard count data. [Thesis]. University of Victoria; 2012. Available from: http://hdl.handle.net/1828/4315

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Pennsylvania

12. Shi, Pixu. Statistical Methods for Compositional and Tree-Structured Count Data in Human Microbiome Studies.

Degree: 2016, University of Pennsylvania

 In human microbiome studies, sequencing reads data are often summarized as counts of bacterial taxa at various taxonomic levels. In this thesis, we develop statistical… (more)

Subjects/Keywords: compositional data; high-dimensional regression; hypothesis testing; microbiome; paired count data; taxonomic tree; Biostatistics

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APA (6th Edition):

Shi, P. (2016). Statistical Methods for Compositional and Tree-Structured Count Data in Human Microbiome Studies. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2013

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shi, Pixu. “Statistical Methods for Compositional and Tree-Structured Count Data in Human Microbiome Studies.” 2016. Thesis, University of Pennsylvania. Accessed June 24, 2019. https://repository.upenn.edu/edissertations/2013.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shi, Pixu. “Statistical Methods for Compositional and Tree-Structured Count Data in Human Microbiome Studies.” 2016. Web. 24 Jun 2019.

Vancouver:

Shi P. Statistical Methods for Compositional and Tree-Structured Count Data in Human Microbiome Studies. [Internet] [Thesis]. University of Pennsylvania; 2016. [cited 2019 Jun 24]. Available from: https://repository.upenn.edu/edissertations/2013.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shi P. Statistical Methods for Compositional and Tree-Structured Count Data in Human Microbiome Studies. [Thesis]. University of Pennsylvania; 2016. Available from: https://repository.upenn.edu/edissertations/2013

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Cincinnati

13. Carraher, Lee A. Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data.

Degree: PhD, Engineering and Applied Science: Computer Science and Engineering, 2018, University of Cincinnati

 Clustering data has gained popularity in recent years due to an expanding opportunity to discover knowledgeand collect insights from multiple widely available and diverse data(more)

Subjects/Keywords: Computer Engineering; data clustering; distributed data mining; streaming data algorithms; locality sensitive hashing; count-min cut tree; random projection

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APA (6th Edition):

Carraher, L. A. (2018). Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860805777818

Chicago Manual of Style (16th Edition):

Carraher, Lee A. “Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data.” 2018. Doctoral Dissertation, University of Cincinnati. Accessed June 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860805777818.

MLA Handbook (7th Edition):

Carraher, Lee A. “Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data.” 2018. Web. 24 Jun 2019.

Vancouver:

Carraher LA. Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data. [Internet] [Doctoral dissertation]. University of Cincinnati; 2018. [cited 2019 Jun 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860805777818.

Council of Science Editors:

Carraher LA. Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data. [Doctoral Dissertation]. University of Cincinnati; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860805777818


KTH

14. Eschmann, Marcel. Study of bitwise operations on non-scarce attribute based data structures in PostgreSQL.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

This report investigates the viability of bitwise operations on non-scarce attribute based data structures in PostgreSQL. For applications where computation can’t be avoided, it… (more)

Subjects/Keywords: matching engine; scaling; binary encoding; bitwise; attribute data; PostgreSQL; population count; matchningsmotor; skalning; binär kodning; bitwise; attributdata; PostgreSQL; population count; Computer and Information Sciences; Data- och informationsvetenskap

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APA (6th Edition):

Eschmann, M. (2018). Study of bitwise operations on non-scarce attribute based data structures in PostgreSQL. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232075

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Eschmann, Marcel. “Study of bitwise operations on non-scarce attribute based data structures in PostgreSQL.” 2018. Thesis, KTH. Accessed June 24, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232075.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Eschmann, Marcel. “Study of bitwise operations on non-scarce attribute based data structures in PostgreSQL.” 2018. Web. 24 Jun 2019.

Vancouver:

Eschmann M. Study of bitwise operations on non-scarce attribute based data structures in PostgreSQL. [Internet] [Thesis]. KTH; 2018. [cited 2019 Jun 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232075.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Eschmann M. Study of bitwise operations on non-scarce attribute based data structures in PostgreSQL. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232075

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Mid Sweden University

15. Karlsson, Henrik. TupleSearch : A scalable framework based on sketches to process and store streaming temporal data for real time analytics.

Degree: Information Systems and Technology, 2017, Mid Sweden University

  In many fields, there is a need for quick analysis of data. As the number of devices connected to the Internet grows, so does… (more)

Subjects/Keywords: Streaming Data; Stream Processing; Count-Min Sketch; Time Adaptive Sketches; Computer Engineering; Datorteknik

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APA (6th Edition):

Karlsson, H. (2017). TupleSearch : A scalable framework based on sketches to process and store streaming temporal data for real time analytics. (Thesis). Mid Sweden University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31041

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Karlsson, Henrik. “TupleSearch : A scalable framework based on sketches to process and store streaming temporal data for real time analytics.” 2017. Thesis, Mid Sweden University. Accessed June 24, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31041.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Karlsson, Henrik. “TupleSearch : A scalable framework based on sketches to process and store streaming temporal data for real time analytics.” 2017. Web. 24 Jun 2019.

Vancouver:

Karlsson H. TupleSearch : A scalable framework based on sketches to process and store streaming temporal data for real time analytics. [Internet] [Thesis]. Mid Sweden University; 2017. [cited 2019 Jun 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31041.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karlsson H. TupleSearch : A scalable framework based on sketches to process and store streaming temporal data for real time analytics. [Thesis]. Mid Sweden University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31041

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Cincinnati

16. SALISBURY, SHEILIA. The Multivariate Generalized Linear Mixed Model for a Joint Modeling Approach for Analysis of Tumor Multiplicity Data: Development and Comparison of Methods.

Degree: PhD, Medicine : Biostatistics (Environmental Health), 2008, University of Cincinnati

 A Monte Carlo simulation was used to examine the small-sample properties of GLIMMIX when two correlated outcome variables, cancer and dysplasia, are modeled jointly. The… (more)

Subjects/Keywords: Count Data; Correlated; Negative Binomial; Monte Carlo; GLIMMIX; GENMOD; Lognormal-Poisson; Cancer; Simulation

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APA (6th Edition):

SALISBURY, S. (2008). The Multivariate Generalized Linear Mixed Model for a Joint Modeling Approach for Analysis of Tumor Multiplicity Data: Development and Comparison of Methods. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1202404654

Chicago Manual of Style (16th Edition):

SALISBURY, SHEILIA. “The Multivariate Generalized Linear Mixed Model for a Joint Modeling Approach for Analysis of Tumor Multiplicity Data: Development and Comparison of Methods.” 2008. Doctoral Dissertation, University of Cincinnati. Accessed June 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1202404654.

MLA Handbook (7th Edition):

SALISBURY, SHEILIA. “The Multivariate Generalized Linear Mixed Model for a Joint Modeling Approach for Analysis of Tumor Multiplicity Data: Development and Comparison of Methods.” 2008. Web. 24 Jun 2019.

Vancouver:

SALISBURY S. The Multivariate Generalized Linear Mixed Model for a Joint Modeling Approach for Analysis of Tumor Multiplicity Data: Development and Comparison of Methods. [Internet] [Doctoral dissertation]. University of Cincinnati; 2008. [cited 2019 Jun 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1202404654.

Council of Science Editors:

SALISBURY S. The Multivariate Generalized Linear Mixed Model for a Joint Modeling Approach for Analysis of Tumor Multiplicity Data: Development and Comparison of Methods. [Doctoral Dissertation]. University of Cincinnati; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1202404654


University of California – San Diego

17. Omigbodun, Akinyinka Oreoluwa. Finding Structure in Electrocorticographic Neural Signals for Brain-Machine Interface Applications.

Degree: Electrical Engineering (Intelsys, Robotics and Cont), 2017, University of California – San Diego

 Electrocorticography (ECoG), also known as intracranial electroencephalography (iEEG), is the practice of recording electrical potentials on the cerebral cortex via electrodes placed on the exposed… (more)

Subjects/Keywords: Electrical engineering; brain-machine interface; clustering; data-limited; electrocorticography; high-channel count; neuroscience

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APA (6th Edition):

Omigbodun, A. O. (2017). Finding Structure in Electrocorticographic Neural Signals for Brain-Machine Interface Applications. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/03z8k76c

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Omigbodun, Akinyinka Oreoluwa. “Finding Structure in Electrocorticographic Neural Signals for Brain-Machine Interface Applications.” 2017. Thesis, University of California – San Diego. Accessed June 24, 2019. http://www.escholarship.org/uc/item/03z8k76c.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Omigbodun, Akinyinka Oreoluwa. “Finding Structure in Electrocorticographic Neural Signals for Brain-Machine Interface Applications.” 2017. Web. 24 Jun 2019.

Vancouver:

Omigbodun AO. Finding Structure in Electrocorticographic Neural Signals for Brain-Machine Interface Applications. [Internet] [Thesis]. University of California – San Diego; 2017. [cited 2019 Jun 24]. Available from: http://www.escholarship.org/uc/item/03z8k76c.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Omigbodun AO. Finding Structure in Electrocorticographic Neural Signals for Brain-Machine Interface Applications. [Thesis]. University of California – San Diego; 2017. Available from: http://www.escholarship.org/uc/item/03z8k76c

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Simões, Paula Marisa Nunes. The recreational use value of a national forest.

Degree: 2012, Instituto Politécnico de Leiria

Dissertação de doutoramento na área científica de Economia, orientada pelo Professor Doutor Luís Cruz e pelo Professor Doutor Eduardo Barata e apresentada à Faculdade de… (more)

Subjects/Keywords: Travel cost method; Contingent behaviour method; Forest recreation demand; Count data; Joint estimation

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APA (6th Edition):

Simões, P. M. N. (2012). The recreational use value of a national forest. (Thesis). Instituto Politécnico de Leiria. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/753

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Simões, Paula Marisa Nunes. “The recreational use value of a national forest.” 2012. Thesis, Instituto Politécnico de Leiria. Accessed June 24, 2019. http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/753.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Simões, Paula Marisa Nunes. “The recreational use value of a national forest.” 2012. Web. 24 Jun 2019.

Vancouver:

Simões PMN. The recreational use value of a national forest. [Internet] [Thesis]. Instituto Politécnico de Leiria; 2012. [cited 2019 Jun 24]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/753.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Simões PMN. The recreational use value of a national forest. [Thesis]. Instituto Politécnico de Leiria; 2012. Available from: http://www.rcaap.pt/detail.jsp?id=oai:iconline.ipleiria.pt:10400.8/753

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Clemson University

19. Jia, Yisu. Some Models for Count Time Series.

Degree: PhD, Mathematical Sciences, 2018, Clemson University

 There has been growing interest in modeling stationary series that have discrete marginal distributions. Count series arise when describing storm numbers, accidents, wins by a… (more)

Subjects/Keywords: count data; Gaussian process; Hermite expansion; hidden Markov model; renewal process; time series

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APA (6th Edition):

Jia, Y. (2018). Some Models for Count Time Series. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2213

Chicago Manual of Style (16th Edition):

Jia, Yisu. “Some Models for Count Time Series.” 2018. Doctoral Dissertation, Clemson University. Accessed June 24, 2019. https://tigerprints.clemson.edu/all_dissertations/2213.

MLA Handbook (7th Edition):

Jia, Yisu. “Some Models for Count Time Series.” 2018. Web. 24 Jun 2019.

Vancouver:

Jia Y. Some Models for Count Time Series. [Internet] [Doctoral dissertation]. Clemson University; 2018. [cited 2019 Jun 24]. Available from: https://tigerprints.clemson.edu/all_dissertations/2213.

Council of Science Editors:

Jia Y. Some Models for Count Time Series. [Doctoral Dissertation]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_dissertations/2213

20. Σιάκουλης, Βασίλειος. Μελέτες στις ταχέως εξαπλωνόμενες χρηματοοικονομικές κρίσεις με την χρήση υποδειγμάτων απαριθμητών τιμών και δεδομένων διάρκειας.

Degree: 2014, University of Patras

Στην παρούσα διατριβή πραγματοποιούμε εμπειρικές αναλύσεις στο αντικείμενο της Χρηματοοικονομικής Μόλυνσης στον χρηματοπιστωτικό τομέα και στις αγορές μετοχών και ομολόγων, με την χρήση υποδειγμάτων απαραριθμητών… (more)

Subjects/Keywords: Χρηματοοικονομική μόλυνση; Απαριθμητά δεδομένα; Δεδομένα διάρκειας; Κρίση; 338.542; Financial contagion; Count data; Duration fata; Crisis

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APA (6th Edition):

Σιάκουλης, . (2014). Μελέτες στις ταχέως εξαπλωνόμενες χρηματοοικονομικές κρίσεις με την χρήση υποδειγμάτων απαριθμητών τιμών και δεδομένων διάρκειας. (Doctoral Dissertation). University of Patras. Retrieved from http://hdl.handle.net/10889/7814

Chicago Manual of Style (16th Edition):

Σιάκουλης, Βασίλειος. “Μελέτες στις ταχέως εξαπλωνόμενες χρηματοοικονομικές κρίσεις με την χρήση υποδειγμάτων απαριθμητών τιμών και δεδομένων διάρκειας.” 2014. Doctoral Dissertation, University of Patras. Accessed June 24, 2019. http://hdl.handle.net/10889/7814.

MLA Handbook (7th Edition):

Σιάκουλης, Βασίλειος. “Μελέτες στις ταχέως εξαπλωνόμενες χρηματοοικονομικές κρίσεις με την χρήση υποδειγμάτων απαριθμητών τιμών και δεδομένων διάρκειας.” 2014. Web. 24 Jun 2019.

Vancouver:

Σιάκουλης . Μελέτες στις ταχέως εξαπλωνόμενες χρηματοοικονομικές κρίσεις με την χρήση υποδειγμάτων απαριθμητών τιμών και δεδομένων διάρκειας. [Internet] [Doctoral dissertation]. University of Patras; 2014. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10889/7814.

Council of Science Editors:

Σιάκουλης . Μελέτες στις ταχέως εξαπλωνόμενες χρηματοοικονομικές κρίσεις με την χρήση υποδειγμάτων απαριθμητών τιμών και δεδομένων διάρκειας. [Doctoral Dissertation]. University of Patras; 2014. Available from: http://hdl.handle.net/10889/7814


University of Washington

21. Fintzi, Jonathan Refael. Bayesian Modeling of Partially Observed Epidemic Count Data.

Degree: PhD, 2019, University of Washington

 Epidemic count data reported by public health surveillance systems reflect the incidence or prevalence of an infectious agent as it spreads through a population. They… (more)

Subjects/Keywords: Biostatistics; Computational methods; Epidemic count data; Markov processes; Stochastic epidemic modeling; Surveillance underreporting; Biostatistics; Biostatistics

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

APA (6th Edition):

Fintzi, J. R. (2019). Bayesian Modeling of Partially Observed Epidemic Count Data. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43314

Chicago Manual of Style (16th Edition):

Fintzi, Jonathan Refael. “Bayesian Modeling of Partially Observed Epidemic Count Data.” 2019. Doctoral Dissertation, University of Washington. Accessed June 24, 2019. http://hdl.handle.net/1773/43314.

MLA Handbook (7th Edition):

Fintzi, Jonathan Refael. “Bayesian Modeling of Partially Observed Epidemic Count Data.” 2019. Web. 24 Jun 2019.

Vancouver:

Fintzi JR. Bayesian Modeling of Partially Observed Epidemic Count Data. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/1773/43314.

Council of Science Editors:

Fintzi JR. Bayesian Modeling of Partially Observed Epidemic Count Data. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43314


Brunel University

22. Peluso, Alina. Novel regression models for discrete response.

Degree: PhD, 2017, Brunel University

 In a regression context, the aim is to analyse a response variable of interest conditional to a set of covariates. In many applications the response… (more)

Subjects/Keywords: Discrete Weibull; Count data; Difference-in-differences; Multilevel model; Parametric quantile regression model

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APA (6th Edition):

Peluso, A. (2017). Novel regression models for discrete response. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/15581 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764827

Chicago Manual of Style (16th Edition):

Peluso, Alina. “Novel regression models for discrete response.” 2017. Doctoral Dissertation, Brunel University. Accessed June 24, 2019. http://bura.brunel.ac.uk/handle/2438/15581 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764827.

MLA Handbook (7th Edition):

Peluso, Alina. “Novel regression models for discrete response.” 2017. Web. 24 Jun 2019.

Vancouver:

Peluso A. Novel regression models for discrete response. [Internet] [Doctoral dissertation]. Brunel University; 2017. [cited 2019 Jun 24]. Available from: http://bura.brunel.ac.uk/handle/2438/15581 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764827.

Council of Science Editors:

Peluso A. Novel regression models for discrete response. [Doctoral Dissertation]. Brunel University; 2017. Available from: http://bura.brunel.ac.uk/handle/2438/15581 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764827


University of Arkansas

23. Carvalho, Thais Fregonesi. Factors Determining Media Coverage of Meat and Poultry Recalls: Evidence From the AP Newswire.

Degree: MS, 2011, University of Arkansas

  Food safety is an important public health issue. Product recalls are an important part of the overall food safety system and occur when potentially… (more)

Subjects/Keywords: Social sciences; Count data model; Food safety; Media coverage; Product recall; Agricultural Economics

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APA (6th Edition):

Carvalho, T. F. (2011). Factors Determining Media Coverage of Meat and Poultry Recalls: Evidence From the AP Newswire. (Masters Thesis). University of Arkansas. Retrieved from https://scholarworks.uark.edu/etd/154

Chicago Manual of Style (16th Edition):

Carvalho, Thais Fregonesi. “Factors Determining Media Coverage of Meat and Poultry Recalls: Evidence From the AP Newswire.” 2011. Masters Thesis, University of Arkansas. Accessed June 24, 2019. https://scholarworks.uark.edu/etd/154.

MLA Handbook (7th Edition):

Carvalho, Thais Fregonesi. “Factors Determining Media Coverage of Meat and Poultry Recalls: Evidence From the AP Newswire.” 2011. Web. 24 Jun 2019.

Vancouver:

Carvalho TF. Factors Determining Media Coverage of Meat and Poultry Recalls: Evidence From the AP Newswire. [Internet] [Masters thesis]. University of Arkansas; 2011. [cited 2019 Jun 24]. Available from: https://scholarworks.uark.edu/etd/154.

Council of Science Editors:

Carvalho TF. Factors Determining Media Coverage of Meat and Poultry Recalls: Evidence From the AP Newswire. [Masters Thesis]. University of Arkansas; 2011. Available from: https://scholarworks.uark.edu/etd/154


University of Otago

24. Fairbrother, Stefan. Foreign Direct Investment and International Knowledge Diffusion: Evidence Using Patent Citation Data .

Degree: 2013, University of Otago

 This thesis examines the effect of foreign direct investment (FDI) on knowledge diffusion between countries. Standard theory suggests that the extent technological knowledge diffuses across… (more)

Subjects/Keywords: poisson; FDI; patent; citations; technology; Bilateral; Knowledge diffusion; Foreign direct investment; knowledge flow; count data

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APA (6th Edition):

Fairbrother, S. (2013). Foreign Direct Investment and International Knowledge Diffusion: Evidence Using Patent Citation Data . (Masters Thesis). University of Otago. Retrieved from http://hdl.handle.net/10523/4126

Chicago Manual of Style (16th Edition):

Fairbrother, Stefan. “Foreign Direct Investment and International Knowledge Diffusion: Evidence Using Patent Citation Data .” 2013. Masters Thesis, University of Otago. Accessed June 24, 2019. http://hdl.handle.net/10523/4126.

MLA Handbook (7th Edition):

Fairbrother, Stefan. “Foreign Direct Investment and International Knowledge Diffusion: Evidence Using Patent Citation Data .” 2013. Web. 24 Jun 2019.

Vancouver:

Fairbrother S. Foreign Direct Investment and International Knowledge Diffusion: Evidence Using Patent Citation Data . [Internet] [Masters thesis]. University of Otago; 2013. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10523/4126.

Council of Science Editors:

Fairbrother S. Foreign Direct Investment and International Knowledge Diffusion: Evidence Using Patent Citation Data . [Masters Thesis]. University of Otago; 2013. Available from: http://hdl.handle.net/10523/4126


McMaster University

25. Zhao, Xingqiu. New Nonparametric Tests for Panel Count Data.

Degree: PhD, 2008, McMaster University

  Statistical analysis of panel count data is an important topic to a number of applied fields including biology, engineering, econometrics, medicine, and public health.… (more)

Subjects/Keywords: panel; count data; nonparametric; (NPMLE); tests

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APA (6th Edition):

Zhao, X. (2008). New Nonparametric Tests for Panel Count Data. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/16763

Chicago Manual of Style (16th Edition):

Zhao, Xingqiu. “New Nonparametric Tests for Panel Count Data.” 2008. Doctoral Dissertation, McMaster University. Accessed June 24, 2019. http://hdl.handle.net/11375/16763.

MLA Handbook (7th Edition):

Zhao, Xingqiu. “New Nonparametric Tests for Panel Count Data.” 2008. Web. 24 Jun 2019.

Vancouver:

Zhao X. New Nonparametric Tests for Panel Count Data. [Internet] [Doctoral dissertation]. McMaster University; 2008. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/11375/16763.

Council of Science Editors:

Zhao X. New Nonparametric Tests for Panel Count Data. [Doctoral Dissertation]. McMaster University; 2008. Available from: http://hdl.handle.net/11375/16763


University of South Carolina

26. Wang, Jianhong. Bayesian Semiparametric Methods for Analyzing Panel Count Data.

Degree: PhD, Statistics, 2018, University of South Carolina

  Panel count data commonly arise in epidemiological, social science, medical studies, in which subjects have repeated measurements on the recurrent events of interest at… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; Bayesian; Semiparametric Methods; Analyzing; Panel Count Data

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APA (6th Edition):

Wang, J. (2018). Bayesian Semiparametric Methods for Analyzing Panel Count Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/4778

Chicago Manual of Style (16th Edition):

Wang, Jianhong. “Bayesian Semiparametric Methods for Analyzing Panel Count Data.” 2018. Doctoral Dissertation, University of South Carolina. Accessed June 24, 2019. https://scholarcommons.sc.edu/etd/4778.

MLA Handbook (7th Edition):

Wang, Jianhong. “Bayesian Semiparametric Methods for Analyzing Panel Count Data.” 2018. Web. 24 Jun 2019.

Vancouver:

Wang J. Bayesian Semiparametric Methods for Analyzing Panel Count Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2018. [cited 2019 Jun 24]. Available from: https://scholarcommons.sc.edu/etd/4778.

Council of Science Editors:

Wang J. Bayesian Semiparametric Methods for Analyzing Panel Count Data. [Doctoral Dissertation]. University of South Carolina; 2018. Available from: https://scholarcommons.sc.edu/etd/4778


University of South Carolina

27. Wardrop, Rebecca. Regression Models for Count Data Based on the Double Poisson Distribution.

Degree: MS, Statistics, 2016, University of South Carolina

  This paper explores the double Poisson distribution. The probability mass function and the difficulties associated with derivative-based optimization for this distribution are discussed. Stata… (more)

Subjects/Keywords: Biostatistics; Physical Sciences and Mathematics; Statistics and Probability; Regression Models; Count Data; Double Poisson Distribution

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APA (6th Edition):

Wardrop, R. (2016). Regression Models for Count Data Based on the Double Poisson Distribution. (Masters Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3870

Chicago Manual of Style (16th Edition):

Wardrop, Rebecca. “Regression Models for Count Data Based on the Double Poisson Distribution.” 2016. Masters Thesis, University of South Carolina. Accessed June 24, 2019. https://scholarcommons.sc.edu/etd/3870.

MLA Handbook (7th Edition):

Wardrop, Rebecca. “Regression Models for Count Data Based on the Double Poisson Distribution.” 2016. Web. 24 Jun 2019.

Vancouver:

Wardrop R. Regression Models for Count Data Based on the Double Poisson Distribution. [Internet] [Masters thesis]. University of South Carolina; 2016. [cited 2019 Jun 24]. Available from: https://scholarcommons.sc.edu/etd/3870.

Council of Science Editors:

Wardrop R. Regression Models for Count Data Based on the Double Poisson Distribution. [Masters Thesis]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3870


University of Kentucky

28. Roemmele, Eric S. A Flexible Zero-Inflated Poisson Regression Model.

Degree: 2019, University of Kentucky

 A practical problem often encountered with observed count data is the presence of excess zeros. Zero-inflation in count data can easily be handled by zero-inflated… (more)

Subjects/Keywords: Bootstrap; Count data; EM Algorithm; zero-inflation; semiparametric model; Statistical Models; Statistical Theory

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APA (6th Edition):

Roemmele, E. S. (2019). A Flexible Zero-Inflated Poisson Regression Model. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/38

Chicago Manual of Style (16th Edition):

Roemmele, Eric S. “A Flexible Zero-Inflated Poisson Regression Model.” 2019. Doctoral Dissertation, University of Kentucky. Accessed June 24, 2019. https://uknowledge.uky.edu/statistics_etds/38.

MLA Handbook (7th Edition):

Roemmele, Eric S. “A Flexible Zero-Inflated Poisson Regression Model.” 2019. Web. 24 Jun 2019.

Vancouver:

Roemmele ES. A Flexible Zero-Inflated Poisson Regression Model. [Internet] [Doctoral dissertation]. University of Kentucky; 2019. [cited 2019 Jun 24]. Available from: https://uknowledge.uky.edu/statistics_etds/38.

Council of Science Editors:

Roemmele ES. A Flexible Zero-Inflated Poisson Regression Model. [Doctoral Dissertation]. University of Kentucky; 2019. Available from: https://uknowledge.uky.edu/statistics_etds/38

29. Kamogawa, Karen Pallotta Tunin. Modelos estatísticos para mapeamento de QTL associados a dados de contagem.

Degree: PhD, Ciência Animal e Pastagens, 2009, University of São Paulo

Este estudo teve por objetivo analisar e comparar metodologias estatísticas para fins de mapeamento de QTL associados à resistência a ectoparasitas em bovinos. Os animais,… (more)

Subjects/Keywords: Bovines; Bovinos; Carrapatos; Count Data; Dados de contagem; Mapeamento genético; QTL; Resistência genética animal.; Selection; Ticks; ZIP model

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APA (6th Edition):

Kamogawa, K. P. T. (2009). Modelos estatísticos para mapeamento de QTL associados a dados de contagem. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/11/11139/tde-06082009-081116/ ;

Chicago Manual of Style (16th Edition):

Kamogawa, Karen Pallotta Tunin. “Modelos estatísticos para mapeamento de QTL associados a dados de contagem.” 2009. Doctoral Dissertation, University of São Paulo. Accessed June 24, 2019. http://www.teses.usp.br/teses/disponiveis/11/11139/tde-06082009-081116/ ;.

MLA Handbook (7th Edition):

Kamogawa, Karen Pallotta Tunin. “Modelos estatísticos para mapeamento de QTL associados a dados de contagem.” 2009. Web. 24 Jun 2019.

Vancouver:

Kamogawa KPT. Modelos estatísticos para mapeamento de QTL associados a dados de contagem. [Internet] [Doctoral dissertation]. University of São Paulo; 2009. [cited 2019 Jun 24]. Available from: http://www.teses.usp.br/teses/disponiveis/11/11139/tde-06082009-081116/ ;.

Council of Science Editors:

Kamogawa KPT. Modelos estatísticos para mapeamento de QTL associados a dados de contagem. [Doctoral Dissertation]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/11/11139/tde-06082009-081116/ ;

30. Kececi, Murat Cagatay. Monitoring Pollen Counts and Pollen Allergy Index Using Satellite Observations in East Coast of the United States.

Degree: MS, Geography, 2017, South Dakota State University

  Allergic diseases have become increasingly common over the world during the last four decades, and they are affecting millions of people. Pollination is an… (more)

Subjects/Keywords: Pollen Count; Pollen Allergy; Artificial Neural Network; Remote Sensing Data; Allergy and Immunology; Geographic Information Sciences; Remote Sensing

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

APA (6th Edition):

Kececi, M. C. (2017). Monitoring Pollen Counts and Pollen Allergy Index Using Satellite Observations in East Coast of the United States. (Masters Thesis). South Dakota State University. Retrieved from http://openprairie.sdstate.edu/etd/1694

Chicago Manual of Style (16th Edition):

Kececi, Murat Cagatay. “Monitoring Pollen Counts and Pollen Allergy Index Using Satellite Observations in East Coast of the United States.” 2017. Masters Thesis, South Dakota State University. Accessed June 24, 2019. http://openprairie.sdstate.edu/etd/1694.

MLA Handbook (7th Edition):

Kececi, Murat Cagatay. “Monitoring Pollen Counts and Pollen Allergy Index Using Satellite Observations in East Coast of the United States.” 2017. Web. 24 Jun 2019.

Vancouver:

Kececi MC. Monitoring Pollen Counts and Pollen Allergy Index Using Satellite Observations in East Coast of the United States. [Internet] [Masters thesis]. South Dakota State University; 2017. [cited 2019 Jun 24]. Available from: http://openprairie.sdstate.edu/etd/1694.

Council of Science Editors:

Kececi MC. Monitoring Pollen Counts and Pollen Allergy Index Using Satellite Observations in East Coast of the United States. [Masters Thesis]. South Dakota State University; 2017. Available from: http://openprairie.sdstate.edu/etd/1694

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