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1.
Dunsiger, Shira.
Analysis of Longitudinal *Binary* *Data* from Behavioral
Medicine.

Degree: PhD, Division of Biology and Medicine. Biostatistics, 2009, Brown University

URL: https://repository.library.brown.edu/studio/item/bdr:81/

► This thesis work is motivated by the specific challenges in analyzing *data* from clinical trials in behavioral medicine. Specifically, smoking cessation and physical activity trials.…
(more)

Subjects/Keywords: longitudinal binary data

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

APA (6^{th} Edition):

Dunsiger, S. (2009). Analysis of Longitudinal Binary Data from Behavioral Medicine. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:81/

Chicago Manual of Style (16^{th} Edition):

Dunsiger, Shira. “Analysis of Longitudinal Binary Data from Behavioral Medicine.” 2009. Doctoral Dissertation, Brown University. Accessed November 22, 2019. https://repository.library.brown.edu/studio/item/bdr:81/.

MLA Handbook (7^{th} Edition):

Dunsiger, Shira. “Analysis of Longitudinal Binary Data from Behavioral Medicine.” 2009. Web. 22 Nov 2019.

Vancouver:

Dunsiger S. Analysis of Longitudinal Binary Data from Behavioral Medicine. [Internet] [Doctoral dissertation]. Brown University; 2009. [cited 2019 Nov 22]. Available from: https://repository.library.brown.edu/studio/item/bdr:81/.

Council of Science Editors:

Dunsiger S. Analysis of Longitudinal Binary Data from Behavioral Medicine. [Doctoral Dissertation]. Brown University; 2009. Available from: https://repository.library.brown.edu/studio/item/bdr:81/

McGill University

2.
Gravel, Christopher A.
Weighted estimation for confounded *binary* outcomes *subject* to misclassification.

Degree: Department of Epidemiology, 2017, McGill University

URL: http://digitool.library.mcgill.ca/thesisfile163042.pdf

►

Note:

In the presence of confounding, the consistency assumption required for identification of causal effects may be violated due to misclassification of the outcome variable.… (more)

Subjects/Keywords: Confounded binary data; outcome misclassification bias

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

APA (6^{th} Edition):

Gravel, C. A. (2017). Weighted estimation for confounded binary outcomes subject to misclassification. (Thesis). McGill University. Retrieved from http://digitool.library.mcgill.ca/thesisfile163042.pdf

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Gravel, Christopher A. “Weighted estimation for confounded binary outcomes subject to misclassification.” 2017. Thesis, McGill University. Accessed November 22, 2019. http://digitool.library.mcgill.ca/thesisfile163042.pdf.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Gravel, Christopher A. “Weighted estimation for confounded binary outcomes subject to misclassification.” 2017. Web. 22 Nov 2019.

Vancouver:

Gravel CA. Weighted estimation for confounded binary outcomes subject to misclassification. [Internet] [Thesis]. McGill University; 2017. [cited 2019 Nov 22]. Available from: http://digitool.library.mcgill.ca/thesisfile163042.pdf.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gravel CA. Weighted estimation for confounded binary outcomes subject to misclassification. [Thesis]. McGill University; 2017. Available from: http://digitool.library.mcgill.ca/thesisfile163042.pdf

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

3.
Jarvis, Nicholas Adam.
DEVELOPING A JAVA *BINARY* OBJECT TECHNIQUE FOR.

Degree: MS, Computer Science and Engineering, 2008, Penn State University

URL: https://etda.libraries.psu.edu/catalog/9123

► As companies deploy large *data* centers to provide *data* storage and access services to their customers there is a growing need for high performance solutions…
(more)

Subjects/Keywords: data transfer; ORM; binary object; relational data; serialization; java; data centers

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

APA (6^{th} Edition):

Jarvis, N. A. (2008). DEVELOPING A JAVA BINARY OBJECT TECHNIQUE FOR. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9123

Chicago Manual of Style (16^{th} Edition):

Jarvis, Nicholas Adam. “DEVELOPING A JAVA BINARY OBJECT TECHNIQUE FOR.” 2008. Masters Thesis, Penn State University. Accessed November 22, 2019. https://etda.libraries.psu.edu/catalog/9123.

MLA Handbook (7^{th} Edition):

Jarvis, Nicholas Adam. “DEVELOPING A JAVA BINARY OBJECT TECHNIQUE FOR.” 2008. Web. 22 Nov 2019.

Vancouver:

Jarvis NA. DEVELOPING A JAVA BINARY OBJECT TECHNIQUE FOR. [Internet] [Masters thesis]. Penn State University; 2008. [cited 2019 Nov 22]. Available from: https://etda.libraries.psu.edu/catalog/9123.

Council of Science Editors:

Jarvis NA. DEVELOPING A JAVA BINARY OBJECT TECHNIQUE FOR. [Masters Thesis]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/9123

The Ohio State University

4.
Berrett, Candace.
Bayesian Probit Regression Models for Spatially-Dependent
Categorical * Data*.

Degree: PhD, Statistics, 2010, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1285076512

► *Data* augmentation/latent variable methods have been widely recognized for facilitating model fitting in the Bayesian probit regression model. First proposed by Albert and Chib…
(more)

Subjects/Keywords: Statistics; spatial statistics; latent variable methods; binary data; categorical data; data augmentation; MCMC; classification

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

APA (6^{th} Edition):

Berrett, C. (2010). Bayesian Probit Regression Models for Spatially-Dependent Categorical Data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1285076512

Chicago Manual of Style (16^{th} Edition):

Berrett, Candace. “Bayesian Probit Regression Models for Spatially-Dependent Categorical Data.” 2010. Doctoral Dissertation, The Ohio State University. Accessed November 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1285076512.

MLA Handbook (7^{th} Edition):

Berrett, Candace. “Bayesian Probit Regression Models for Spatially-Dependent Categorical Data.” 2010. Web. 22 Nov 2019.

Vancouver:

Berrett C. Bayesian Probit Regression Models for Spatially-Dependent Categorical Data. [Internet] [Doctoral dissertation]. The Ohio State University; 2010. [cited 2019 Nov 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1285076512.

Council of Science Editors:

Berrett C. Bayesian Probit Regression Models for Spatially-Dependent Categorical Data. [Doctoral Dissertation]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1285076512

5.
Yang, Weiming.
Analysis of Models for Longitudinal and Clustered *Binary* * Data*.

Degree: PhD, Mathematics and Statistics, 2010, Old Dominion University

URL: 9781124453057 ; https://digitalcommons.odu.edu/mathstat_etds/74

► This dissertation deals with modeling and statistical analysis of longitudinal and clustered *binary* *data*. Such *data* consists of observations on a dichotomous response variable…
(more)

Subjects/Keywords: Binary data; Data clustering; Analysis; Applied Statistics; Longitudinal Data Analysis and Time Series

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

APA (6^{th} Edition):

Yang, W. (2010). Analysis of Models for Longitudinal and Clustered Binary Data. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781124453057 ; https://digitalcommons.odu.edu/mathstat_etds/74

Chicago Manual of Style (16^{th} Edition):

Yang, Weiming. “Analysis of Models for Longitudinal and Clustered Binary Data.” 2010. Doctoral Dissertation, Old Dominion University. Accessed November 22, 2019. 9781124453057 ; https://digitalcommons.odu.edu/mathstat_etds/74.

MLA Handbook (7^{th} Edition):

Yang, Weiming. “Analysis of Models for Longitudinal and Clustered Binary Data.” 2010. Web. 22 Nov 2019.

Vancouver:

Yang W. Analysis of Models for Longitudinal and Clustered Binary Data. [Internet] [Doctoral dissertation]. Old Dominion University; 2010. [cited 2019 Nov 22]. Available from: 9781124453057 ; https://digitalcommons.odu.edu/mathstat_etds/74.

Council of Science Editors:

Yang W. Analysis of Models for Longitudinal and Clustered Binary Data. [Doctoral Dissertation]. Old Dominion University; 2010. Available from: 9781124453057 ; https://digitalcommons.odu.edu/mathstat_etds/74

Brunel University

6. Al-Shammaa, Mohammed. Granular computing approach for intelligent classifier design.

Degree: PhD, 2016, Brunel University

URL: http://bura.brunel.ac.uk/handle/2438/13686 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699317

► Granular computing facilitates dealing with information by providing a theoretical framework to deal with information as granules at different levels of granularity (different levels of…
(more)

Subjects/Keywords: 006.3; Data clustering; Neural networks; Fuzzy systems; Genetic algorithm; Binary classification

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

APA (6^{th} Edition):

Al-Shammaa, M. (2016). Granular computing approach for intelligent classifier design. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/13686 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699317

Chicago Manual of Style (16^{th} Edition):

Al-Shammaa, Mohammed. “Granular computing approach for intelligent classifier design.” 2016. Doctoral Dissertation, Brunel University. Accessed November 22, 2019. http://bura.brunel.ac.uk/handle/2438/13686 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699317.

MLA Handbook (7^{th} Edition):

Al-Shammaa, Mohammed. “Granular computing approach for intelligent classifier design.” 2016. Web. 22 Nov 2019.

Vancouver:

Al-Shammaa M. Granular computing approach for intelligent classifier design. [Internet] [Doctoral dissertation]. Brunel University; 2016. [cited 2019 Nov 22]. Available from: http://bura.brunel.ac.uk/handle/2438/13686 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699317.

Council of Science Editors:

Al-Shammaa M. Granular computing approach for intelligent classifier design. [Doctoral Dissertation]. Brunel University; 2016. Available from: http://bura.brunel.ac.uk/handle/2438/13686 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.699317

University of Georgia

7.
Li, Chao.
Topics on estimating equations approaches for longitudinal *binary* outcomes with report bias.

Degree: PhD, Biostatistics, 2017, University of Georgia

URL: http://hdl.handle.net/10724/37815

► Cocaine use is an important public health problem in the United States and throughout the world. It is associated with many medical consequences and psychosocial…
(more)

Subjects/Keywords: GEE; WGEE; Report bias; Cocaine use; Longitudinal Binary Data

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

APA (6^{th} Edition):

Li, C. (2017). Topics on estimating equations approaches for longitudinal binary outcomes with report bias. (Doctoral Dissertation). University of Georgia. Retrieved from http://hdl.handle.net/10724/37815

Chicago Manual of Style (16^{th} Edition):

Li, Chao. “Topics on estimating equations approaches for longitudinal binary outcomes with report bias.” 2017. Doctoral Dissertation, University of Georgia. Accessed November 22, 2019. http://hdl.handle.net/10724/37815.

MLA Handbook (7^{th} Edition):

Li, Chao. “Topics on estimating equations approaches for longitudinal binary outcomes with report bias.” 2017. Web. 22 Nov 2019.

Vancouver:

Li C. Topics on estimating equations approaches for longitudinal binary outcomes with report bias. [Internet] [Doctoral dissertation]. University of Georgia; 2017. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10724/37815.

Council of Science Editors:

Li C. Topics on estimating equations approaches for longitudinal binary outcomes with report bias. [Doctoral Dissertation]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37815

Virginia Tech

8.
Owens, Clifford Conley.
Mining Truth Tables and Straddling Biclusters in *Binary* Datasets.

Degree: MS, Computer Science, 2009, Virginia Tech

URL: http://hdl.handle.net/10919/35745

► As the world swims deeper into a deluge of *data*, *binary* datasets relating objects to properties can be found in many different fields. Such datasets…
(more)

Subjects/Keywords: data mining; binary datasets

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

APA (6^{th} Edition):

Owens, C. C. (2009). Mining Truth Tables and Straddling Biclusters in Binary Datasets. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35745

Chicago Manual of Style (16^{th} Edition):

Owens, Clifford Conley. “Mining Truth Tables and Straddling Biclusters in Binary Datasets.” 2009. Masters Thesis, Virginia Tech. Accessed November 22, 2019. http://hdl.handle.net/10919/35745.

MLA Handbook (7^{th} Edition):

Owens, Clifford Conley. “Mining Truth Tables and Straddling Biclusters in Binary Datasets.” 2009. Web. 22 Nov 2019.

Vancouver:

Owens CC. Mining Truth Tables and Straddling Biclusters in Binary Datasets. [Internet] [Masters thesis]. Virginia Tech; 2009. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10919/35745.

Council of Science Editors:

Owens CC. Mining Truth Tables and Straddling Biclusters in Binary Datasets. [Masters Thesis]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/35745

University of Adelaide

9.
Yelland, Lisa Nicole.
Statistical issues associated with the analysis of *binary* outcomes in randomised controlled trials when the effect measure of interest is the relative risk.

Degree: 2011, University of Adelaide

URL: http://hdl.handle.net/2440/74129

► Background: *Binary* outcomes have traditionally been analysed using logistic regression which estimates odds ratios. A popular alternative is to estimate relative risks using log binomial…
(more)

Subjects/Keywords: statistics; binary outcome; relative risk; randomised trial; clustered data

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

APA (6^{th} Edition):

Yelland, L. N. (2011). Statistical issues associated with the analysis of binary outcomes in randomised controlled trials when the effect measure of interest is the relative risk. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/74129

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Yelland, Lisa Nicole. “Statistical issues associated with the analysis of binary outcomes in randomised controlled trials when the effect measure of interest is the relative risk.” 2011. Thesis, University of Adelaide. Accessed November 22, 2019. http://hdl.handle.net/2440/74129.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yelland, Lisa Nicole. “Statistical issues associated with the analysis of binary outcomes in randomised controlled trials when the effect measure of interest is the relative risk.” 2011. Web. 22 Nov 2019.

Vancouver:

Yelland LN. Statistical issues associated with the analysis of binary outcomes in randomised controlled trials when the effect measure of interest is the relative risk. [Internet] [Thesis]. University of Adelaide; 2011. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/2440/74129.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yelland LN. Statistical issues associated with the analysis of binary outcomes in randomised controlled trials when the effect measure of interest is the relative risk. [Thesis]. University of Adelaide; 2011. Available from: http://hdl.handle.net/2440/74129

Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

10. Soltani, Soheil. Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space.

Degree: 2019, University of Waterloo

URL: http://hdl.handle.net/10012/14341

► Clustering is one of the most fundamental tasks in many machine learning and information retrieval applications. Roughly speaking, the goal is to partition *data* instances…
(more)

Subjects/Keywords: Machine Learning; Clustering; Binary Data; Hamming Space; Hierarchical Agglomerative Clustering

Record Details Similar Records

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

APA (6^{th} Edition):

Soltani, S. (2019). Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14341

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Soltani, Soheil. “Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space.” 2019. Thesis, University of Waterloo. Accessed November 22, 2019. http://hdl.handle.net/10012/14341.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Soltani, Soheil. “Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space.” 2019. Web. 22 Nov 2019.

Vancouver:

Soltani S. Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10012/14341.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Soltani S. Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14341

Not specified: Masters Thesis or Doctoral Dissertation

Washington State University

11. [No author]. Topics in Health Econometrics .

Degree: 2012, Washington State University

URL: http://hdl.handle.net/2376/4270

► This dissertation discusses three topics in health econometrics focusing on misclassification in *binary* *data*, sources and the nature of bias, the impact of using misclassified…
(more)

Subjects/Keywords: Economics; Correcting bias; Health Econometrics; misclassification in binary data

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APA (6^{th} Edition):

author], [. (2012). Topics in Health Econometrics . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/4270

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

author], [No. “Topics in Health Econometrics .” 2012. Thesis, Washington State University. Accessed November 22, 2019. http://hdl.handle.net/2376/4270.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

author], [No. “Topics in Health Econometrics .” 2012. Web. 22 Nov 2019.

Vancouver:

author] [. Topics in Health Econometrics . [Internet] [Thesis]. Washington State University; 2012. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/2376/4270.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Topics in Health Econometrics . [Thesis]. Washington State University; 2012. Available from: http://hdl.handle.net/2376/4270

Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

12.
Bui, Ngoc T.
Probabilistic visual relational *data* extraction.

Degree: MS, 0112, 2011, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/18545

► This paper studies the problem of wrapper generation and proposes the concept of visual-relational *data* extraction as the foundation for modeling wrappers. Towards large scale…
(more)

Subjects/Keywords: Data extraction; probabilistic model; visual feature; binary visual relation

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APA (6^{th} Edition):

Bui, N. T. (2011). Probabilistic visual relational data extraction. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18545

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Bui, Ngoc T. “Probabilistic visual relational data extraction.” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed November 22, 2019. http://hdl.handle.net/2142/18545.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Bui, Ngoc T. “Probabilistic visual relational data extraction.” 2011. Web. 22 Nov 2019.

Vancouver:

Bui NT. Probabilistic visual relational data extraction. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/2142/18545.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bui NT. Probabilistic visual relational data extraction. [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18545

Not specified: Masters Thesis or Doctoral Dissertation

University of Guelph

13.
Tang, Yang.
Model-based clustering of high-dimensional *binary* * data*
.

Degree: 2013, University of Guelph

URL: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7458

► We present a mixture of latent trait models with common slope parameters (MCLT) for high dimensional *binary* *data*, a *data* type for which few established…
(more)

Subjects/Keywords: binary data; clustering; high dimension; latent variables; mixture models

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

APA (6^{th} Edition):

Tang, Y. (2013). Model-based clustering of high-dimensional binary data . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7458

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Tang, Yang. “Model-based clustering of high-dimensional binary data .” 2013. Thesis, University of Guelph. Accessed November 22, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7458.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tang, Yang. “Model-based clustering of high-dimensional binary data .” 2013. Web. 22 Nov 2019.

Vancouver:

Tang Y. Model-based clustering of high-dimensional binary data . [Internet] [Thesis]. University of Guelph; 2013. [cited 2019 Nov 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7458.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tang Y. Model-based clustering of high-dimensional binary data . [Thesis]. University of Guelph; 2013. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/7458

Not specified: Masters Thesis or Doctoral Dissertation

Arizona State University

14.
Mahadevan, Rupa.
Energy-efficient DSP System Design based on the Redundant
*Binary* Number System.

Degree: MS, Electrical Engineering, 2011, Arizona State University

URL: http://repository.asu.edu/items/9463

► Redundant *Binary* (RBR) number representations have been extensively used in the past for high-throughput Digital Signal Processing (DSP) systems. *Data*-path components based on this number…
(more)

Subjects/Keywords: Electrical Engineering; data-path design; EDP; energy; redundant binary number system

Record Details Similar Records

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APA (6^{th} Edition):

Mahadevan, R. (2011). Energy-efficient DSP System Design based on the Redundant Binary Number System. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/9463

Chicago Manual of Style (16^{th} Edition):

Mahadevan, Rupa. “Energy-efficient DSP System Design based on the Redundant Binary Number System.” 2011. Masters Thesis, Arizona State University. Accessed November 22, 2019. http://repository.asu.edu/items/9463.

MLA Handbook (7^{th} Edition):

Mahadevan, Rupa. “Energy-efficient DSP System Design based on the Redundant Binary Number System.” 2011. Web. 22 Nov 2019.

Vancouver:

Mahadevan R. Energy-efficient DSP System Design based on the Redundant Binary Number System. [Internet] [Masters thesis]. Arizona State University; 2011. [cited 2019 Nov 22]. Available from: http://repository.asu.edu/items/9463.

Council of Science Editors:

Mahadevan R. Energy-efficient DSP System Design based on the Redundant Binary Number System. [Masters Thesis]. Arizona State University; 2011. Available from: http://repository.asu.edu/items/9463

University of Arizona

15.
Miller, Mary Lavin.
Power Difference in a χ2 Test vs Generalized Linear Mixed Model in the Presence of Missing *Data* – A Simulation Study
.

Degree: 2019, University of Arizona

URL: http://hdl.handle.net/10150/632596

► Background: Longitudinal randomized controlled trials (RCTs) often aim to test and measure the effect of treatment between arms at a single time point. A two-sample…
(more)

Subjects/Keywords: binary data; chi-squared test; complete-case; generalized linear mixed model; missing data; power

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

APA (6^{th} Edition):

Miller, M. L. (2019). Power Difference in a χ2 Test vs Generalized Linear Mixed Model in the Presence of Missing Data – A Simulation Study . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/632596

Chicago Manual of Style (16^{th} Edition):

Miller, Mary Lavin. “Power Difference in a χ2 Test vs Generalized Linear Mixed Model in the Presence of Missing Data – A Simulation Study .” 2019. Masters Thesis, University of Arizona. Accessed November 22, 2019. http://hdl.handle.net/10150/632596.

MLA Handbook (7^{th} Edition):

Miller, Mary Lavin. “Power Difference in a χ2 Test vs Generalized Linear Mixed Model in the Presence of Missing Data – A Simulation Study .” 2019. Web. 22 Nov 2019.

Vancouver:

Miller ML. Power Difference in a χ2 Test vs Generalized Linear Mixed Model in the Presence of Missing Data – A Simulation Study . [Internet] [Masters thesis]. University of Arizona; 2019. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10150/632596.

Council of Science Editors:

Miller ML. Power Difference in a χ2 Test vs Generalized Linear Mixed Model in the Presence of Missing Data – A Simulation Study . [Masters Thesis]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/632596

Uppsala University

16.
Naumanen, Hampus; Malmgård, Torsten.
Analytics tool for radar * data*.

Degree: Engineering Sciences, 2018, Uppsala University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353857

► Analytics tool for radar *data* was a project that started when radar specialists at Saab needed to modernize their tools that analyzes *binary* encoded…
(more)

Subjects/Keywords: Data management; Radar data; Java; Binary data; Interface; Software; Analytics tool; Databehandling; Radardata; Java; Binärdata; Gränssnitt; Program; Analysverktyg; Software Engineering; Programvaruteknik

Record Details Similar Records

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

APA (6^{th} Edition):

Naumanen, Hampus; Malmgård, T. (2018). Analytics tool for radar data. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353857

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Naumanen, Hampus; Malmgård, Torsten. “Analytics tool for radar data.” 2018. Thesis, Uppsala University. Accessed November 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353857.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Naumanen, Hampus; Malmgård, Torsten. “Analytics tool for radar data.” 2018. Web. 22 Nov 2019.

Vancouver:

Naumanen, Hampus; Malmgård T. Analytics tool for radar data. [Internet] [Thesis]. Uppsala University; 2018. [cited 2019 Nov 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353857.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Naumanen, Hampus; Malmgård T. Analytics tool for radar data. [Thesis]. Uppsala University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353857

Not specified: Masters Thesis or Doctoral Dissertation

Wright State University

17.
Sisco, Zachary David.
Verifying *Data*-Oriented Gadgets in *Binary* Programs to Build
*Data*-Only Exploits.

Degree: MS, Computer Science, 2018, Wright State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=wright1533308865314126

► *Data*-Oriented Programming (DOP) is a *data*-only code-reuse exploit technique that “stitches” together sequences of instructions to alter a program’s *data* flow to cause harm. DOP…
(more)

Subjects/Keywords: Computer Science; Data-oriented programming; data-oriented exploits; binary program analysis; data flow analysis; program verification; formal methods

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

APA (6^{th} Edition):

Sisco, Z. D. (2018). Verifying Data-Oriented Gadgets in Binary Programs to Build Data-Only Exploits. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1533308865314126

Chicago Manual of Style (16^{th} Edition):

Sisco, Zachary David. “Verifying Data-Oriented Gadgets in Binary Programs to Build Data-Only Exploits.” 2018. Masters Thesis, Wright State University. Accessed November 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1533308865314126.

MLA Handbook (7^{th} Edition):

Sisco, Zachary David. “Verifying Data-Oriented Gadgets in Binary Programs to Build Data-Only Exploits.” 2018. Web. 22 Nov 2019.

Vancouver:

Sisco ZD. Verifying Data-Oriented Gadgets in Binary Programs to Build Data-Only Exploits. [Internet] [Masters thesis]. Wright State University; 2018. [cited 2019 Nov 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1533308865314126.

Council of Science Editors:

Sisco ZD. Verifying Data-Oriented Gadgets in Binary Programs to Build Data-Only Exploits. [Masters Thesis]. Wright State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1533308865314126

Dalhousie University

18.
Li, Mengdu.
Deletion Without Rebalancing in Non-Blocking Self-Balancing
*Binary* Search Trees.

Degree: Master of Computer Science, Faculty of Computer Science, 2016, Dalhousie University

URL: http://hdl.handle.net/10222/71623

► We present a provably linearizable and lock-free relaxed AVL tree called the non- blocking ravl tree. At any time, the height of a non-blocking ravl…
(more)

Subjects/Keywords: concurrent data structure; non-blocking; self-balancing binary search tree; relaxed AVL tree; amortized complexity

Record Details Similar Records

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

APA (6^{th} Edition):

Li, M. (2016). Deletion Without Rebalancing in Non-Blocking Self-Balancing Binary Search Trees. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/71623

Chicago Manual of Style (16^{th} Edition):

Li, Mengdu. “Deletion Without Rebalancing in Non-Blocking Self-Balancing Binary Search Trees.” 2016. Masters Thesis, Dalhousie University. Accessed November 22, 2019. http://hdl.handle.net/10222/71623.

MLA Handbook (7^{th} Edition):

Li, Mengdu. “Deletion Without Rebalancing in Non-Blocking Self-Balancing Binary Search Trees.” 2016. Web. 22 Nov 2019.

Vancouver:

Li M. Deletion Without Rebalancing in Non-Blocking Self-Balancing Binary Search Trees. [Internet] [Masters thesis]. Dalhousie University; 2016. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10222/71623.

Council of Science Editors:

Li M. Deletion Without Rebalancing in Non-Blocking Self-Balancing Binary Search Trees. [Masters Thesis]. Dalhousie University; 2016. Available from: http://hdl.handle.net/10222/71623

19. Santos, Bernardo Pereira dos. Implementação em R de modelos de regressão binária com ligação paramétrica.

Degree: Mestrado, Estatística, 2013, University of São Paulo

URL: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-11042013-220712/ ;

►

A análise de dados binários é usualmente feita através da regressão logística, mas esse modelo possui limitações. Modificar a função de ligação da regressão permite… (more)

Subjects/Keywords: binary data; dados binarios; função de ligação; generalized linear models; link function; modelos lineares generalizados

Record Details Similar Records

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

APA (6^{th} Edition):

Santos, B. P. d. (2013). Implementação em R de modelos de regressão binária com ligação paramétrica. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-11042013-220712/ ;

Chicago Manual of Style (16^{th} Edition):

Santos, Bernardo Pereira dos. “Implementação em R de modelos de regressão binária com ligação paramétrica.” 2013. Masters Thesis, University of São Paulo. Accessed November 22, 2019. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-11042013-220712/ ;.

MLA Handbook (7^{th} Edition):

Santos, Bernardo Pereira dos. “Implementação em R de modelos de regressão binária com ligação paramétrica.” 2013. Web. 22 Nov 2019.

Vancouver:

Santos BPd. Implementação em R de modelos de regressão binária com ligação paramétrica. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2019 Nov 22]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-11042013-220712/ ;.

Council of Science Editors:

Santos BPd. Implementação em R de modelos de regressão binária com ligação paramétrica. [Masters Thesis]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-11042013-220712/ ;

Texas A&M University

20.
Lee, Seokho.
Principal Components Analysis for *Binary* * Data*.

Degree: 2010, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602

► Principal components analysis (PCA) has been widely used as a statistical tool for the dimension reduction of multivariate *data* in various application areas and extensively…
(more)

Subjects/Keywords: BINARY DATA; DIMENSION REDUCTION; MM ALGORITHM; LASSO; PCA; REGULARIZATION; SPARSITY; VARIATIONAL METHOD

Record Details Similar Records

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

APA (6^{th} Edition):

Lee, S. (2010). Principal Components Analysis for Binary Data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Lee, Seokho. “Principal Components Analysis for Binary Data.” 2010. Thesis, Texas A&M University. Accessed November 22, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lee, Seokho. “Principal Components Analysis for Binary Data.” 2010. Web. 22 Nov 2019.

Vancouver:

Lee S. Principal Components Analysis for Binary Data. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee S. Principal Components Analysis for Binary Data. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602

Not specified: Masters Thesis or Doctoral Dissertation

Texas A&M University

21.
Liang, Zhongwen.
Limited Dependent Variable Correlated Random Coefficient Panel *Data* Models.

Degree: 2012, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11682

► In this dissertation, I consider linear, *binary* response correlated random coefficient (CRC) panel *data* models and a truncated CRC panel *data* model which are frequently…
(more)

Subjects/Keywords: Limited dependent variable; Panel data; Nonparametric; Binary response; Truncated; Correlated random coefficient

Record Details Similar Records

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

APA (6^{th} Edition):

Liang, Z. (2012). Limited Dependent Variable Correlated Random Coefficient Panel Data Models. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11682

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Liang, Zhongwen. “Limited Dependent Variable Correlated Random Coefficient Panel Data Models.” 2012. Thesis, Texas A&M University. Accessed November 22, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11682.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Liang, Zhongwen. “Limited Dependent Variable Correlated Random Coefficient Panel Data Models.” 2012. Web. 22 Nov 2019.

Vancouver:

Liang Z. Limited Dependent Variable Correlated Random Coefficient Panel Data Models. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11682.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liang Z. Limited Dependent Variable Correlated Random Coefficient Panel Data Models. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11682

Not specified: Masters Thesis or Doctoral Dissertation

Case Western Reserve University

22.
Nuamah, Isaac Frimpong.
* Data* analytic methods for correlated

Degree: PhD, Epidemiology and Biostatistics, 1994, Case Western Reserve University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1057846821

► There has been increasing use of longitudinal studies in medicine and elsewhere, yielding *data* that tend to be correlated with one another. While methodology for…
(more)

Subjects/Keywords: Data analytic methods correlated binary responses

Record Details Similar Records

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

APA (6^{th} Edition):

Nuamah, I. F. (1994). Data analytic methods for correlated binary responses. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1057846821

Chicago Manual of Style (16^{th} Edition):

Nuamah, Isaac Frimpong. “Data analytic methods for correlated binary responses.” 1994. Doctoral Dissertation, Case Western Reserve University. Accessed November 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1057846821.

MLA Handbook (7^{th} Edition):

Nuamah, Isaac Frimpong. “Data analytic methods for correlated binary responses.” 1994. Web. 22 Nov 2019.

Vancouver:

Nuamah IF. Data analytic methods for correlated binary responses. [Internet] [Doctoral dissertation]. Case Western Reserve University; 1994. [cited 2019 Nov 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1057846821.

Council of Science Editors:

Nuamah IF. Data analytic methods for correlated binary responses. [Doctoral Dissertation]. Case Western Reserve University; 1994. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1057846821

Louisiana State University

23. Lin, Di. Exploring the Learnability of Numeric Datasets.

Degree: PhD, Computer Sciences, 2013, Louisiana State University

URL: etd-05132013-172359 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1836

► When doing classification, it has often been observed that datasets may exhibit different levels of difficulty with respect to how accurately they can be classified.…
(more)

Subjects/Keywords: Data mining; classification models; monotonic properties; binary datasets; monotone function; monotonic characteristics

Record Details Similar Records

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

APA (6^{th} Edition):

Lin, D. (2013). Exploring the Learnability of Numeric Datasets. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-05132013-172359 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1836

Chicago Manual of Style (16^{th} Edition):

Lin, Di. “Exploring the Learnability of Numeric Datasets.” 2013. Doctoral Dissertation, Louisiana State University. Accessed November 22, 2019. etd-05132013-172359 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1836.

MLA Handbook (7^{th} Edition):

Lin, Di. “Exploring the Learnability of Numeric Datasets.” 2013. Web. 22 Nov 2019.

Vancouver:

Lin D. Exploring the Learnability of Numeric Datasets. [Internet] [Doctoral dissertation]. Louisiana State University; 2013. [cited 2019 Nov 22]. Available from: etd-05132013-172359 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1836.

Council of Science Editors:

Lin D. Exploring the Learnability of Numeric Datasets. [Doctoral Dissertation]. Louisiana State University; 2013. Available from: etd-05132013-172359 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1836

Ryerson University

24.
Dong, Nan.
Content-independent orientation detection with histogram of optimized local *binary* pattern.

Degree: 2009, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A1025

► This thesis is primarily concerned with the introduction of a new approach to the general problem of automatic image orientation detection. Inspired by the local…
(more)

Subjects/Keywords: Image processing – Digital techniques; Image analysis – Data processing; Algorithms; Binary system (Mathematics)

Record Details Similar Records

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

APA (6^{th} Edition):

Dong, N. (2009). Content-independent orientation detection with histogram of optimized local binary pattern. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1025

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Dong, Nan. “Content-independent orientation detection with histogram of optimized local binary pattern.” 2009. Thesis, Ryerson University. Accessed November 22, 2019. https://digital.library.ryerson.ca/islandora/object/RULA%3A1025.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Dong, Nan. “Content-independent orientation detection with histogram of optimized local binary pattern.” 2009. Web. 22 Nov 2019.

Vancouver:

Dong N. Content-independent orientation detection with histogram of optimized local binary pattern. [Internet] [Thesis]. Ryerson University; 2009. [cited 2019 Nov 22]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1025.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dong N. Content-independent orientation detection with histogram of optimized local binary pattern. [Thesis]. Ryerson University; 2009. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1025

Not specified: Masters Thesis or Doctoral Dissertation

25.
LIM BOON LEONG (S7628766Z).
Investigation of bayesian networks for classification problems involving *binary* * data*.

Degree: 2005, National University of Singapore

URL: http://scholarbank.nus.edu.sg/handle/10635/14577

Subjects/Keywords: Bayesian Networks; Machine Learning; Binary Data

Record Details Similar Records

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

APA (6^{th} Edition):

(S7628766Z), L. B. L. (2005). Investigation of bayesian networks for classification problems involving binary data. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14577

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

(S7628766Z), LIM BOON LEONG. “Investigation of bayesian networks for classification problems involving binary data.” 2005. Thesis, National University of Singapore. Accessed November 22, 2019. http://scholarbank.nus.edu.sg/handle/10635/14577.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

(S7628766Z), LIM BOON LEONG. “Investigation of bayesian networks for classification problems involving binary data.” 2005. Web. 22 Nov 2019.

Vancouver:

(S7628766Z) LBL. Investigation of bayesian networks for classification problems involving binary data. [Internet] [Thesis]. National University of Singapore; 2005. [cited 2019 Nov 22]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14577.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

(S7628766Z) LBL. Investigation of bayesian networks for classification problems involving binary data. [Thesis]. National University of Singapore; 2005. Available from: http://scholarbank.nus.edu.sg/handle/10635/14577

Not specified: Masters Thesis or Doctoral Dissertation

26.
ZHANG HAO.
Estimation of intra-class correlation parameter for correlated *binary* *data* in common correlated models.

Degree: 2005, National University of Singapore

URL: http://scholarbank.nus.edu.sg/handle/10635/16985

Subjects/Keywords: Intra-Class Correlation Parameter Binary Data

Record Details Similar Records

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

APA (6^{th} Edition):

HAO, Z. (2005). Estimation of intra-class correlation parameter for correlated binary data in common correlated models. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/16985

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

HAO, ZHANG. “Estimation of intra-class correlation parameter for correlated binary data in common correlated models.” 2005. Thesis, National University of Singapore. Accessed November 22, 2019. http://scholarbank.nus.edu.sg/handle/10635/16985.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

HAO, ZHANG. “Estimation of intra-class correlation parameter for correlated binary data in common correlated models.” 2005. Web. 22 Nov 2019.

Vancouver:

HAO Z. Estimation of intra-class correlation parameter for correlated binary data in common correlated models. [Internet] [Thesis]. National University of Singapore; 2005. [cited 2019 Nov 22]. Available from: http://scholarbank.nus.edu.sg/handle/10635/16985.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

HAO Z. Estimation of intra-class correlation parameter for correlated binary data in common correlated models. [Thesis]. National University of Singapore; 2005. Available from: http://scholarbank.nus.edu.sg/handle/10635/16985

Not specified: Masters Thesis or Doctoral Dissertation

University of New South Wales

27.
Shen, Zhenliang.
* Binary* shape coding and lossless image compression.

Degree: Electrical Engineering, 2010, University of New South Wales

URL: http://handle.unsw.edu.au/1959.4/50434 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9328/SOURCE01?view=true

► As the amount of information is increased in modern life, the need for more efficient methods to represent this information grows as well. This information…
(more)

Subjects/Keywords: Binary shape coding; Image compression; Data compression; High-performance compression algorithm; Lossy compression; Lossless compression

Record Details Similar Records

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

APA (6^{th} Edition):

Shen, Z. (2010). Binary shape coding and lossless image compression. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/50434 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9328/SOURCE01?view=true

Chicago Manual of Style (16^{th} Edition):

Shen, Zhenliang. “Binary shape coding and lossless image compression.” 2010. Doctoral Dissertation, University of New South Wales. Accessed November 22, 2019. http://handle.unsw.edu.au/1959.4/50434 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9328/SOURCE01?view=true.

MLA Handbook (7^{th} Edition):

Shen, Zhenliang. “Binary shape coding and lossless image compression.” 2010. Web. 22 Nov 2019.

Vancouver:

Shen Z. Binary shape coding and lossless image compression. [Internet] [Doctoral dissertation]. University of New South Wales; 2010. [cited 2019 Nov 22]. Available from: http://handle.unsw.edu.au/1959.4/50434 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9328/SOURCE01?view=true.

Council of Science Editors:

Shen Z. Binary shape coding and lossless image compression. [Doctoral Dissertation]. University of New South Wales; 2010. Available from: http://handle.unsw.edu.au/1959.4/50434 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9328/SOURCE01?view=true

Arizona State University

28.
Wang, Bei.
Three Essays on Comparative Simulation in Three-level
Hierarchical *Data* Structure.

Degree: Statistics, 2017, Arizona State University

URL: http://repository.asu.edu/items/46248

► Though the likelihood is a useful tool for obtaining estimates of regression parameters, it is not readily available in the fit of hierarchical *binary* *data*…
(more)

Subjects/Keywords: Statistics; Binary response; Bootstrapping; Generalized linear mixed model; Hierarchical data; Rresampling schemes; Small sample inferences

Record Details Similar Records

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

APA (6^{th} Edition):

Wang, B. (2017). Three Essays on Comparative Simulation in Three-level Hierarchical Data Structure. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/46248

Chicago Manual of Style (16^{th} Edition):

Wang, Bei. “Three Essays on Comparative Simulation in Three-level Hierarchical Data Structure.” 2017. Doctoral Dissertation, Arizona State University. Accessed November 22, 2019. http://repository.asu.edu/items/46248.

MLA Handbook (7^{th} Edition):

Wang, Bei. “Three Essays on Comparative Simulation in Three-level Hierarchical Data Structure.” 2017. Web. 22 Nov 2019.

Vancouver:

Wang B. Three Essays on Comparative Simulation in Three-level Hierarchical Data Structure. [Internet] [Doctoral dissertation]. Arizona State University; 2017. [cited 2019 Nov 22]. Available from: http://repository.asu.edu/items/46248.

Council of Science Editors:

Wang B. Three Essays on Comparative Simulation in Three-level Hierarchical Data Structure. [Doctoral Dissertation]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/46248

29.
Li, Jingwei, active 21st century.
Choosing the proper link function for *binary* * data*.

Degree: MSin Statistics, Statistics, 2014, University of Texas – Austin

URL: http://hdl.handle.net/2152/26363

► Since generalized linear model (GLM) with *binary* response variable is widely used in many disciplines, many efforts have been made to construct a fit model.…
(more)

Subjects/Keywords: Binary response data; Link function

…analyzing *binary* response
*data*. One key aspect for building a satisfactory model is choosing a… …often made arbitrarily. Researchers tend to
adopt the logit link for *binary* response *data*… …*binary* response *data*. We need to find out
an efficient way to distinguish better link in… …5. In Section 6, I will introduce two
transformation families for *binary* response *data*… …and Section 7 will be the conclusion
section.
2
2. Link Functions for *Binary* *Data*
In this…

Record Details Similar Records

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

APA (6^{th} Edition):

Li, Jingwei, a. 2. c. (2014). Choosing the proper link function for binary data. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26363

Chicago Manual of Style (16^{th} Edition):

Li, Jingwei, active 21st century. “Choosing the proper link function for binary data.” 2014. Masters Thesis, University of Texas – Austin. Accessed November 22, 2019. http://hdl.handle.net/2152/26363.

MLA Handbook (7^{th} Edition):

Li, Jingwei, active 21st century. “Choosing the proper link function for binary data.” 2014. Web. 22 Nov 2019.

Vancouver:

Li, Jingwei a2c. Choosing the proper link function for binary data. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/2152/26363.

Council of Science Editors:

Li, Jingwei a2c. Choosing the proper link function for binary data. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/26363

University of Kansas

30. Nimmakayala, Surya Tej. Heuristics to predict and eagerly translate code in DBTs.

Degree: PhD, Electrical Engineering & Computer Science, 2019, University of Kansas

URL: http://hdl.handle.net/1808/29617

► Dynamic *Binary* Translators(DBTs) have a variety of uses, like instrumentation, profiling, security, portability, etc. In order for the desired application to run with these enhanced…
(more)

Subjects/Keywords: Computer science; Computer engineering; data-mining; dynamic binary translation; heuristics; startup overhead

Record Details Similar Records

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

APA (6^{th} Edition):

Nimmakayala, S. T. (2019). Heuristics to predict and eagerly translate code in DBTs. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/29617

Chicago Manual of Style (16^{th} Edition):

Nimmakayala, Surya Tej. “Heuristics to predict and eagerly translate code in DBTs.” 2019. Doctoral Dissertation, University of Kansas. Accessed November 22, 2019. http://hdl.handle.net/1808/29617.

MLA Handbook (7^{th} Edition):

Nimmakayala, Surya Tej. “Heuristics to predict and eagerly translate code in DBTs.” 2019. Web. 22 Nov 2019.

Vancouver:

Nimmakayala ST. Heuristics to predict and eagerly translate code in DBTs. [Internet] [Doctoral dissertation]. University of Kansas; 2019. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1808/29617.

Council of Science Editors:

Nimmakayala ST. Heuristics to predict and eagerly translate code in DBTs. [Doctoral Dissertation]. University of Kansas; 2019. Available from: http://hdl.handle.net/1808/29617