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You searched for subject:(Linear regression). Showing records 1 – 30 of 838 total matches.

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University of Bridgeport

1. Al Essa, Ali. Efficient Text Classification with Linear Regression Using a Combination of Predictors for Flu Outbreak Detection .

Degree: 2018, University of Bridgeport

 Early prediction of disease outbreaks and seasonal epidemics such as Influenza may reduce their impact on daily lives. Today, the web can be used for… (more)

Subjects/Keywords: Influenza; Linear regression

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APA (6th Edition):

Al Essa, A. (2018). Efficient Text Classification with Linear Regression Using a Combination of Predictors for Flu Outbreak Detection . (Thesis). University of Bridgeport. Retrieved from https://scholarworks.bridgeport.edu/xmlui/handle/123456789/3967

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):

Al Essa, Ali. “Efficient Text Classification with Linear Regression Using a Combination of Predictors for Flu Outbreak Detection .” 2018. Thesis, University of Bridgeport. Accessed October 24, 2019. https://scholarworks.bridgeport.edu/xmlui/handle/123456789/3967.

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

MLA Handbook (7th Edition):

Al Essa, Ali. “Efficient Text Classification with Linear Regression Using a Combination of Predictors for Flu Outbreak Detection .” 2018. Web. 24 Oct 2019.

Vancouver:

Al Essa A. Efficient Text Classification with Linear Regression Using a Combination of Predictors for Flu Outbreak Detection . [Internet] [Thesis]. University of Bridgeport; 2018. [cited 2019 Oct 24]. Available from: https://scholarworks.bridgeport.edu/xmlui/handle/123456789/3967.

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

Council of Science Editors:

Al Essa A. Efficient Text Classification with Linear Regression Using a Combination of Predictors for Flu Outbreak Detection . [Thesis]. University of Bridgeport; 2018. Available from: https://scholarworks.bridgeport.edu/xmlui/handle/123456789/3967

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


Penn State University

2. Feng, Yijia. Robust Nonparametric Function Estimation with Serially Correlated Data.

Degree: PhD, Statistics, 2010, Penn State University

 Nonparametric function estimation via local polynomial regression has been widely studied in the literature, especially in the past two decades. In practice, we confront two… (more)

Subjects/Keywords: autoregressive process; local linear regression; robust regression

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APA (6th Edition):

Feng, Y. (2010). Robust Nonparametric Function Estimation with Serially Correlated Data. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/11391

Chicago Manual of Style (16th Edition):

Feng, Yijia. “Robust Nonparametric Function Estimation with Serially Correlated Data.” 2010. Doctoral Dissertation, Penn State University. Accessed October 24, 2019. https://etda.libraries.psu.edu/catalog/11391.

MLA Handbook (7th Edition):

Feng, Yijia. “Robust Nonparametric Function Estimation with Serially Correlated Data.” 2010. Web. 24 Oct 2019.

Vancouver:

Feng Y. Robust Nonparametric Function Estimation with Serially Correlated Data. [Internet] [Doctoral dissertation]. Penn State University; 2010. [cited 2019 Oct 24]. Available from: https://etda.libraries.psu.edu/catalog/11391.

Council of Science Editors:

Feng Y. Robust Nonparametric Function Estimation with Serially Correlated Data. [Doctoral Dissertation]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/11391

3. Bai, Xue. Robust linear regression.

Degree: MS, Department of Statistics, 2012, Kansas State University

 In practice, when applying a statistical method it often occurs that some observations deviate from the usual model assumptions. Least-squares (LS) estimators are very sensitive… (more)

Subjects/Keywords: Linear regression model; Robust regression; Statistics (0463)

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APA (6th Edition):

Bai, X. (2012). Robust linear regression. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/14977

Chicago Manual of Style (16th Edition):

Bai, Xue. “Robust linear regression.” 2012. Masters Thesis, Kansas State University. Accessed October 24, 2019. http://hdl.handle.net/2097/14977.

MLA Handbook (7th Edition):

Bai, Xue. “Robust linear regression.” 2012. Web. 24 Oct 2019.

Vancouver:

Bai X. Robust linear regression. [Internet] [Masters thesis]. Kansas State University; 2012. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/2097/14977.

Council of Science Editors:

Bai X. Robust linear regression. [Masters Thesis]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/14977


Halmstad University

4. Arslan, Recep Sinan Jr. Design of a Software Application for Visualization of GPS and Vehicle Data.

Degree: Computer and Electrical Engineering (IDE), 2009, Halmstad University

  I present an application to visualization of GPS data and Linear Correlations and models. A collection of data for each vehicle is used to… (more)

Subjects/Keywords: Deviation Detection; Linear Regression; GPS

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APA (6th Edition):

Arslan, R. S. J. (2009). Design of a Software Application for Visualization of GPS and Vehicle Data. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-4140

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):

Arslan, Recep Sinan Jr. “Design of a Software Application for Visualization of GPS and Vehicle Data.” 2009. Thesis, Halmstad University. Accessed October 24, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-4140.

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

MLA Handbook (7th Edition):

Arslan, Recep Sinan Jr. “Design of a Software Application for Visualization of GPS and Vehicle Data.” 2009. Web. 24 Oct 2019.

Vancouver:

Arslan RSJ. Design of a Software Application for Visualization of GPS and Vehicle Data. [Internet] [Thesis]. Halmstad University; 2009. [cited 2019 Oct 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-4140.

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

Council of Science Editors:

Arslan RSJ. Design of a Software Application for Visualization of GPS and Vehicle Data. [Thesis]. Halmstad University; 2009. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-4140

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


University of Georgia

5. Ganesan, Sivanesan. Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets.

Degree: MS, Computer Science, 2011, University of Georgia

 There are a number of learning methods that provide solutions to classification and regression problems, including Linear Regression, Decision Trees, KNN, and SVMs. These methods… (more)

Subjects/Keywords: Random Forest; Linear Regression

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APA (6th Edition):

Ganesan, S. (2011). Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/ganesan_sivanesan_201105_ms

Chicago Manual of Style (16th Edition):

Ganesan, Sivanesan. “Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets.” 2011. Masters Thesis, University of Georgia. Accessed October 24, 2019. http://purl.galileo.usg.edu/uga_etd/ganesan_sivanesan_201105_ms.

MLA Handbook (7th Edition):

Ganesan, Sivanesan. “Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets.” 2011. Web. 24 Oct 2019.

Vancouver:

Ganesan S. Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets. [Internet] [Masters thesis]. University of Georgia; 2011. [cited 2019 Oct 24]. Available from: http://purl.galileo.usg.edu/uga_etd/ganesan_sivanesan_201105_ms.

Council of Science Editors:

Ganesan S. Regression Leaf Forest: a fast and accurate learning method for large & high dimensional data sets. [Masters Thesis]. University of Georgia; 2011. Available from: http://purl.galileo.usg.edu/uga_etd/ganesan_sivanesan_201105_ms

6. AJMAL, KHAN. An Analysis of the Telecommunications Business in China by Linear Regression.

Degree: Statistics, 2010, Dalarna University

  In this paper, we study the influence of the National Telecom Business Volume by the data in 2008 that have been published in China… (more)

Subjects/Keywords: Linear regression; telecommunication; modeling

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APA (6th Edition):

AJMAL, K. (2010). An Analysis of the Telecommunications Business in China by Linear Regression. (Thesis). Dalarna University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:du-4826

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):

AJMAL, KHAN. “An Analysis of the Telecommunications Business in China by Linear Regression.” 2010. Thesis, Dalarna University. Accessed October 24, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:du-4826.

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

MLA Handbook (7th Edition):

AJMAL, KHAN. “An Analysis of the Telecommunications Business in China by Linear Regression.” 2010. Web. 24 Oct 2019.

Vancouver:

AJMAL K. An Analysis of the Telecommunications Business in China by Linear Regression. [Internet] [Thesis]. Dalarna University; 2010. [cited 2019 Oct 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-4826.

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

Council of Science Editors:

AJMAL K. An Analysis of the Telecommunications Business in China by Linear Regression. [Thesis]. Dalarna University; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-4826

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


Youngstown State University

7. Jamison, Jonathan A. Linear Regression Analysis of the Suspended Sediment Load in Rivers and Streams Using Data of Similar Precipitation Values.

Degree: MSin Environmental Science, Department of Geological & Environmental Sciences, 2018, Youngstown State University

 Sediment provides a method for transportation of a variety of other pollutants such as nutrients and potentially harmful bacteria. In addition, sediment can increase the… (more)

Subjects/Keywords: Environmental Science; Geomorphology; linear regression

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APA (6th Edition):

Jamison, J. A. (2018). Linear Regression Analysis of the Suspended Sediment Load in Rivers and Streams Using Data of Similar Precipitation Values. (Masters Thesis). Youngstown State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ysu154273822580279

Chicago Manual of Style (16th Edition):

Jamison, Jonathan A. “Linear Regression Analysis of the Suspended Sediment Load in Rivers and Streams Using Data of Similar Precipitation Values.” 2018. Masters Thesis, Youngstown State University. Accessed October 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ysu154273822580279.

MLA Handbook (7th Edition):

Jamison, Jonathan A. “Linear Regression Analysis of the Suspended Sediment Load in Rivers and Streams Using Data of Similar Precipitation Values.” 2018. Web. 24 Oct 2019.

Vancouver:

Jamison JA. Linear Regression Analysis of the Suspended Sediment Load in Rivers and Streams Using Data of Similar Precipitation Values. [Internet] [Masters thesis]. Youngstown State University; 2018. [cited 2019 Oct 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu154273822580279.

Council of Science Editors:

Jamison JA. Linear Regression Analysis of the Suspended Sediment Load in Rivers and Streams Using Data of Similar Precipitation Values. [Masters Thesis]. Youngstown State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ysu154273822580279


University of Arizona

8. Clutter, Melissa Jean. Designing Robust Measurement Networks Using Universal Multiple Linear Regression .

Degree: 2019, University of Arizona

 Collecting hydrological data is essential for understanding system behavior and processes; without it, there is no basis for predictive modeling or risk assessment. Unfortunately, limited… (more)

Subjects/Keywords: design; linear regression; measurement; optimization

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APA (6th Edition):

Clutter, M. J. (2019). Designing Robust Measurement Networks Using Universal Multiple Linear Regression . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/633093

Chicago Manual of Style (16th Edition):

Clutter, Melissa Jean. “Designing Robust Measurement Networks Using Universal Multiple Linear Regression .” 2019. Doctoral Dissertation, University of Arizona. Accessed October 24, 2019. http://hdl.handle.net/10150/633093.

MLA Handbook (7th Edition):

Clutter, Melissa Jean. “Designing Robust Measurement Networks Using Universal Multiple Linear Regression .” 2019. Web. 24 Oct 2019.

Vancouver:

Clutter MJ. Designing Robust Measurement Networks Using Universal Multiple Linear Regression . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/10150/633093.

Council of Science Editors:

Clutter MJ. Designing Robust Measurement Networks Using Universal Multiple Linear Regression . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/633093

9. Peraça, Maria da Graça Teixeira. Modelos para estimativa do grau de saturação do concreto mediante variáveis ambientais que influenciam na sua variação.

Degree: 2009, Universidade Federal do Rio Grande

Dissertação(mestrado) - Universidade Federal do Rio Grande, Programa de Pós-Graduação em Engenharia Oceânica, Escola de Engenharia, 2009.

Nas engenharias, é fundamental estimar o tempo de… (more)

Subjects/Keywords: Temperatura máxima; Regressão linear simples; Regressão linear múltipla; Maximum temperature; Linear regression; Multiple linear regression

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APA (6th Edition):

Peraça, M. d. G. T. (2009). Modelos para estimativa do grau de saturação do concreto mediante variáveis ambientais que influenciam na sua variação. (Masters Thesis). Universidade Federal do Rio Grande. Retrieved from http://repositorio.furg.br/handle/1/3436

Chicago Manual of Style (16th Edition):

Peraça, Maria da Graça Teixeira. “Modelos para estimativa do grau de saturação do concreto mediante variáveis ambientais que influenciam na sua variação.” 2009. Masters Thesis, Universidade Federal do Rio Grande. Accessed October 24, 2019. http://repositorio.furg.br/handle/1/3436.

MLA Handbook (7th Edition):

Peraça, Maria da Graça Teixeira. “Modelos para estimativa do grau de saturação do concreto mediante variáveis ambientais que influenciam na sua variação.” 2009. Web. 24 Oct 2019.

Vancouver:

Peraça MdGT. Modelos para estimativa do grau de saturação do concreto mediante variáveis ambientais que influenciam na sua variação. [Internet] [Masters thesis]. Universidade Federal do Rio Grande; 2009. [cited 2019 Oct 24]. Available from: http://repositorio.furg.br/handle/1/3436.

Council of Science Editors:

Peraça MdGT. Modelos para estimativa do grau de saturação do concreto mediante variáveis ambientais que influenciam na sua variação. [Masters Thesis]. Universidade Federal do Rio Grande; 2009. Available from: http://repositorio.furg.br/handle/1/3436


Anna University

10. Arulchinnappan S. A study on fuzzy linear regression.

Degree: Mathematics, 2012, Anna University

The fuzzy set theory was first proposed by Zadeh in 1965. The fuzzy linear regression was proposed by Tanaka et al in 1982. Many different… (more)

Subjects/Keywords: Chronic diseases; Fuzzy set theory; Linear regression; Fuzzy linear regression

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APA (6th Edition):

S, A. (2012). A study on fuzzy linear regression. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/17758

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):

S, Arulchinnappan. “A study on fuzzy linear regression.” 2012. Thesis, Anna University. Accessed October 24, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/17758.

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

MLA Handbook (7th Edition):

S, Arulchinnappan. “A study on fuzzy linear regression.” 2012. Web. 24 Oct 2019.

Vancouver:

S A. A study on fuzzy linear regression. [Internet] [Thesis]. Anna University; 2012. [cited 2019 Oct 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/17758.

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

Council of Science Editors:

S A. A study on fuzzy linear regression. [Thesis]. Anna University; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/17758

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

11. Pandiri, Venkat Shiva. Machine Learning Models to Predict House Prices based on Home Features .

Degree: 2017, California State University – San Marcos

 This project carried out a systematic investigation to predict the final price of each home using machine learning techniques. Various machine learning techniques such as… (more)

Subjects/Keywords: Multiple Linear Regression; Random Forest Regression; Polynomial Regression

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APA (6th Edition):

Pandiri, V. S. (2017). Machine Learning Models to Predict House Prices based on Home Features . (Thesis). California State University – San Marcos. Retrieved from http://hdl.handle.net/10211.3/194683

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):

Pandiri, Venkat Shiva. “Machine Learning Models to Predict House Prices based on Home Features .” 2017. Thesis, California State University – San Marcos. Accessed October 24, 2019. http://hdl.handle.net/10211.3/194683.

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

MLA Handbook (7th Edition):

Pandiri, Venkat Shiva. “Machine Learning Models to Predict House Prices based on Home Features .” 2017. Web. 24 Oct 2019.

Vancouver:

Pandiri VS. Machine Learning Models to Predict House Prices based on Home Features . [Internet] [Thesis]. California State University – San Marcos; 2017. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/10211.3/194683.

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

Council of Science Editors:

Pandiri VS. Machine Learning Models to Predict House Prices based on Home Features . [Thesis]. California State University – San Marcos; 2017. Available from: http://hdl.handle.net/10211.3/194683

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


University of Georgia

12. Harrell, Leigh Michelle. Regression models in standardized test prediction.

Degree: MS, Statistics, 2004, University of Georgia

 The objective of this study is to identify the predictors of graduation exam passing rates on standardized tests administered high schools in the United States… (more)

Subjects/Keywords: weighted linear regression

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APA (6th Edition):

Harrell, L. M. (2004). Regression models in standardized test prediction. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/harrell_leigh_m_200408_ms

Chicago Manual of Style (16th Edition):

Harrell, Leigh Michelle. “Regression models in standardized test prediction.” 2004. Masters Thesis, University of Georgia. Accessed October 24, 2019. http://purl.galileo.usg.edu/uga_etd/harrell_leigh_m_200408_ms.

MLA Handbook (7th Edition):

Harrell, Leigh Michelle. “Regression models in standardized test prediction.” 2004. Web. 24 Oct 2019.

Vancouver:

Harrell LM. Regression models in standardized test prediction. [Internet] [Masters thesis]. University of Georgia; 2004. [cited 2019 Oct 24]. Available from: http://purl.galileo.usg.edu/uga_etd/harrell_leigh_m_200408_ms.

Council of Science Editors:

Harrell LM. Regression models in standardized test prediction. [Masters Thesis]. University of Georgia; 2004. Available from: http://purl.galileo.usg.edu/uga_etd/harrell_leigh_m_200408_ms


University of Vermont

13. Berger, Alex. Using Crowdsourcing to Discover Correlational Relationships.

Degree: Computer Science, 2014, University of Vermont

  Obtaining hypotheses for scientific experiments can be an exceptionally challenging and time-consuming task. Even with specialized knowledge, researchers frequently overlook important variables that may… (more)

Subjects/Keywords: crowdsourcing; computer science; machine learning; linear regression

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APA (6th Edition):

Berger, A. (2014). Using Crowdsourcing to Discover Correlational Relationships. (Thesis). University of Vermont. Retrieved from https://scholarworks.uvm.edu/hcoltheses/33

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):

Berger, Alex. “Using Crowdsourcing to Discover Correlational Relationships.” 2014. Thesis, University of Vermont. Accessed October 24, 2019. https://scholarworks.uvm.edu/hcoltheses/33.

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

MLA Handbook (7th Edition):

Berger, Alex. “Using Crowdsourcing to Discover Correlational Relationships.” 2014. Web. 24 Oct 2019.

Vancouver:

Berger A. Using Crowdsourcing to Discover Correlational Relationships. [Internet] [Thesis]. University of Vermont; 2014. [cited 2019 Oct 24]. Available from: https://scholarworks.uvm.edu/hcoltheses/33.

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

Council of Science Editors:

Berger A. Using Crowdsourcing to Discover Correlational Relationships. [Thesis]. University of Vermont; 2014. Available from: https://scholarworks.uvm.edu/hcoltheses/33

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


Baylor University

14. [No author]. Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression.

Degree: 2015, Baylor University

 Conventional Phase II clinical trial designs usually employ a logistic regression model to analyze the efficacy of a new drug and, therefore, assumes monotone dose-response… (more)

Subjects/Keywords: Clinical trial. Dynamic linear model. Logistic regression.

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APA (6th Edition):

author], [. (2015). Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/9557

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):

author], [No. “Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression. ” 2015. Thesis, Baylor University. Accessed October 24, 2019. http://hdl.handle.net/2104/9557.

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

MLA Handbook (7th Edition):

author], [No. “Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression. ” 2015. Web. 24 Oct 2019.

Vancouver:

author] [. Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression. [Internet] [Thesis]. Baylor University; 2015. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/2104/9557.

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

Council of Science Editors:

author] [. Topics in Bayesian adaptive clinical trial design using dynamic linear models and missing data imputation in logistic regression. [Thesis]. Baylor University; 2015. Available from: http://hdl.handle.net/2104/9557

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


Penn State University

15. Jiang, Yuejiao. Estimation and forecasting methodologies for.

Degree: PhD, Statistics, 2009, Penn State University

 Nonparametric regression models have been used to explore features of data. Various estimation procedures have been proposed for estimating nonparametric regression models in the literature.… (more)

Subjects/Keywords: nonparametric regression models; dynamic linear models

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APA (6th Edition):

Jiang, Y. (2009). Estimation and forecasting methodologies for. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9833

Chicago Manual of Style (16th Edition):

Jiang, Yuejiao. “Estimation and forecasting methodologies for.” 2009. Doctoral Dissertation, Penn State University. Accessed October 24, 2019. https://etda.libraries.psu.edu/catalog/9833.

MLA Handbook (7th Edition):

Jiang, Yuejiao. “Estimation and forecasting methodologies for.” 2009. Web. 24 Oct 2019.

Vancouver:

Jiang Y. Estimation and forecasting methodologies for. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2019 Oct 24]. Available from: https://etda.libraries.psu.edu/catalog/9833.

Council of Science Editors:

Jiang Y. Estimation and forecasting methodologies for. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9833

16. Mahmood, Arshad. Rainfall prediction in Australia : Clusterwise linear regression approach.

Degree: PhD, 2017, Federation University Australia

 Accurate rainfall prediction is a challenging task because of the complex physical processes involved. This complexity is compounded in Australia as the climate can be… (more)

Subjects/Keywords: Accurate rainfall prediction; Clusterwise linear regression; Australia

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APA (6th Edition):

Mahmood, A. (2017). Rainfall prediction in Australia : Clusterwise linear regression approach. (Doctoral Dissertation). Federation University Australia. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/159251 ; https://library.federation.edu.au/record=b2722196

Chicago Manual of Style (16th Edition):

Mahmood, Arshad. “Rainfall prediction in Australia : Clusterwise linear regression approach.” 2017. Doctoral Dissertation, Federation University Australia. Accessed October 24, 2019. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/159251 ; https://library.federation.edu.au/record=b2722196.

MLA Handbook (7th Edition):

Mahmood, Arshad. “Rainfall prediction in Australia : Clusterwise linear regression approach.” 2017. Web. 24 Oct 2019.

Vancouver:

Mahmood A. Rainfall prediction in Australia : Clusterwise linear regression approach. [Internet] [Doctoral dissertation]. Federation University Australia; 2017. [cited 2019 Oct 24]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/159251 ; https://library.federation.edu.au/record=b2722196.

Council of Science Editors:

Mahmood A. Rainfall prediction in Australia : Clusterwise linear regression approach. [Doctoral Dissertation]. Federation University Australia; 2017. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/159251 ; https://library.federation.edu.au/record=b2722196


University of Waikato

17. Liu, Liang. Linear Genetic Programming with Experience .

Degree: 2015, University of Waikato

 A novel method of using Machine Learning (ML) algorithms to improve the performance of Linear Genetic Programming (LGP) is studied. In this study, structures used… (more)

Subjects/Keywords: Linear Genetic Programming; Machine Learning; Symbolic Regression

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APA (6th Edition):

Liu, L. (2015). Linear Genetic Programming with Experience . (Masters Thesis). University of Waikato. Retrieved from http://hdl.handle.net/10289/9762

Chicago Manual of Style (16th Edition):

Liu, Liang. “Linear Genetic Programming with Experience .” 2015. Masters Thesis, University of Waikato. Accessed October 24, 2019. http://hdl.handle.net/10289/9762.

MLA Handbook (7th Edition):

Liu, Liang. “Linear Genetic Programming with Experience .” 2015. Web. 24 Oct 2019.

Vancouver:

Liu L. Linear Genetic Programming with Experience . [Internet] [Masters thesis]. University of Waikato; 2015. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/10289/9762.

Council of Science Editors:

Liu L. Linear Genetic Programming with Experience . [Masters Thesis]. University of Waikato; 2015. Available from: http://hdl.handle.net/10289/9762

18. Hamal, Tamanna. Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students.

Degree: MS, Mathematics, 2017, Texas Woman's University

 The purpose of the study is to compare the Discriminant Analysis and Linear Regression Analysis to predict the correlation between alcohol consumption by high school… (more)

Subjects/Keywords: Pure sciences; Analysis; Discriminant; Linear regression; SPSS

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APA (6th Edition):

Hamal, T. (2017). Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students. (Masters Thesis). Texas Woman's University. Retrieved from http://hdl.handle.net/11274/9356

Chicago Manual of Style (16th Edition):

Hamal, Tamanna. “Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students.” 2017. Masters Thesis, Texas Woman's University. Accessed October 24, 2019. http://hdl.handle.net/11274/9356.

MLA Handbook (7th Edition):

Hamal, Tamanna. “Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students.” 2017. Web. 24 Oct 2019.

Vancouver:

Hamal T. Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students. [Internet] [Masters thesis]. Texas Woman's University; 2017. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/11274/9356.

Council of Science Editors:

Hamal T. Comparing discriminant analysis and linear regression analysis to predict the alcohol consumption by high school students. [Masters Thesis]. Texas Woman's University; 2017. Available from: http://hdl.handle.net/11274/9356


Texas A&M University

19. Van Huyck, Carl Phillips. A Matrix Based Approach for Color Transformations in Reflections.

Degree: MS, Visualization, 2018, Texas A&M University

 In this thesis, I demonstrate the feasibility of linear regression with 4 × 4 matrices to perform color transformations, specifically looking at the case of… (more)

Subjects/Keywords: Reflections; Computer Graphics; Color; Matrices; Linear Regression

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APA (6th Edition):

Van Huyck, C. P. (2018). A Matrix Based Approach for Color Transformations in Reflections. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173569

Chicago Manual of Style (16th Edition):

Van Huyck, Carl Phillips. “A Matrix Based Approach for Color Transformations in Reflections.” 2018. Masters Thesis, Texas A&M University. Accessed October 24, 2019. http://hdl.handle.net/1969.1/173569.

MLA Handbook (7th Edition):

Van Huyck, Carl Phillips. “A Matrix Based Approach for Color Transformations in Reflections.” 2018. Web. 24 Oct 2019.

Vancouver:

Van Huyck CP. A Matrix Based Approach for Color Transformations in Reflections. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/1969.1/173569.

Council of Science Editors:

Van Huyck CP. A Matrix Based Approach for Color Transformations in Reflections. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173569


Kansas State University

20. Cao, Chendi. Linear regression with Laplace measurement error.

Degree: MS, Statistics, 2016, Kansas State University

 In this report, an improved estimation procedure for the regression parameter in simple linear regression models with the Laplace measurement error is proposed. The estimation… (more)

Subjects/Keywords: Measurement error; Laplace distribution; Linear regression

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APA (6th Edition):

Cao, C. (2016). Linear regression with Laplace measurement error. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/32719

Chicago Manual of Style (16th Edition):

Cao, Chendi. “Linear regression with Laplace measurement error.” 2016. Masters Thesis, Kansas State University. Accessed October 24, 2019. http://hdl.handle.net/2097/32719.

MLA Handbook (7th Edition):

Cao, Chendi. “Linear regression with Laplace measurement error.” 2016. Web. 24 Oct 2019.

Vancouver:

Cao C. Linear regression with Laplace measurement error. [Internet] [Masters thesis]. Kansas State University; 2016. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/2097/32719.

Council of Science Editors:

Cao C. Linear regression with Laplace measurement error. [Masters Thesis]. Kansas State University; 2016. Available from: http://hdl.handle.net/2097/32719


University of Arizona

21. Kaye, Justin. Warfarin Pharmacogenomics in a Hispanic Population: A Candidate SNP Study .

Degree: 2019, University of Arizona

 Background: Warfarin remains one of the most widely prescribed anticoagulants but is also a leading cause of adverse drug reactions. Genotype-guided warfarin dosing algorithms enable… (more)

Subjects/Keywords: Hispanic; Latino; linear regression; Pharmacogenomics; SNP; Warfarin

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APA (6th Edition):

Kaye, J. (2019). Warfarin Pharmacogenomics in a Hispanic Population: A Candidate SNP Study . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/633086

Chicago Manual of Style (16th Edition):

Kaye, Justin. “Warfarin Pharmacogenomics in a Hispanic Population: A Candidate SNP Study .” 2019. Masters Thesis, University of Arizona. Accessed October 24, 2019. http://hdl.handle.net/10150/633086.

MLA Handbook (7th Edition):

Kaye, Justin. “Warfarin Pharmacogenomics in a Hispanic Population: A Candidate SNP Study .” 2019. Web. 24 Oct 2019.

Vancouver:

Kaye J. Warfarin Pharmacogenomics in a Hispanic Population: A Candidate SNP Study . [Internet] [Masters thesis]. University of Arizona; 2019. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/10150/633086.

Council of Science Editors:

Kaye J. Warfarin Pharmacogenomics in a Hispanic Population: A Candidate SNP Study . [Masters Thesis]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/633086


Victoria University of Wellington

22. Bancolita, Joel E. Poverty Diagnostics in the Philippines: Assessing Impacts of Programs through Generalised Linear Models (GLMs).

Degree: 2011, Victoria University of Wellington

 The Philippines is a country where a quarter to one-third of the population is poor. Although the nation has managed to lower poverty incidence in… (more)

Subjects/Keywords: Generalized linear models; Linear regression; Logistic regression; Logit; Odds ratio; Poverty; GLM

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APA (6th Edition):

Bancolita, J. E. (2011). Poverty Diagnostics in the Philippines: Assessing Impacts of Programs through Generalised Linear Models (GLMs). (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/1913

Chicago Manual of Style (16th Edition):

Bancolita, Joel E. “Poverty Diagnostics in the Philippines: Assessing Impacts of Programs through Generalised Linear Models (GLMs).” 2011. Masters Thesis, Victoria University of Wellington. Accessed October 24, 2019. http://hdl.handle.net/10063/1913.

MLA Handbook (7th Edition):

Bancolita, Joel E. “Poverty Diagnostics in the Philippines: Assessing Impacts of Programs through Generalised Linear Models (GLMs).” 2011. Web. 24 Oct 2019.

Vancouver:

Bancolita JE. Poverty Diagnostics in the Philippines: Assessing Impacts of Programs through Generalised Linear Models (GLMs). [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/10063/1913.

Council of Science Editors:

Bancolita JE. Poverty Diagnostics in the Philippines: Assessing Impacts of Programs through Generalised Linear Models (GLMs). [Masters Thesis]. Victoria University of Wellington; 2011. Available from: http://hdl.handle.net/10063/1913


North-West University

23. Van der Westhuizen, Magdelena Marianna. Robust techniques for regression models with minimal assumptions / M.M. van der Westhuizen .

Degree: 2011, North-West University

 Good quality management decisions often rely on the evaluation and interpretation of data. One of the most popular ways to investigate possible relationships in a… (more)

Subjects/Keywords: Robust regression; Outlier detection; Piecewise linear regression; Linear programming; Smoothing techniques; Optimization

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APA (6th Edition):

Van der Westhuizen, M. M. (2011). Robust techniques for regression models with minimal assumptions / M.M. van der Westhuizen . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/6689

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):

Van der Westhuizen, Magdelena Marianna. “Robust techniques for regression models with minimal assumptions / M.M. van der Westhuizen .” 2011. Thesis, North-West University. Accessed October 24, 2019. http://hdl.handle.net/10394/6689.

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

MLA Handbook (7th Edition):

Van der Westhuizen, Magdelena Marianna. “Robust techniques for regression models with minimal assumptions / M.M. van der Westhuizen .” 2011. Web. 24 Oct 2019.

Vancouver:

Van der Westhuizen MM. Robust techniques for regression models with minimal assumptions / M.M. van der Westhuizen . [Internet] [Thesis]. North-West University; 2011. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/10394/6689.

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

Council of Science Editors:

Van der Westhuizen MM. Robust techniques for regression models with minimal assumptions / M.M. van der Westhuizen . [Thesis]. North-West University; 2011. Available from: http://hdl.handle.net/10394/6689

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


University of Pretoria

24. Van Zyl, W.R. (Warren Reece). Single-Phase convective heat transfer and pressure drop coefficients in concentric annual.

Degree: Mechanical and Aeronautical Engineering, 2013, University of Pretoria

 Varying diameter ratios associated with smooth concentric tube-in-tube heat exchangers are known to have an effect on its convective heat transfer capabilities. Much literature exists… (more)

Subjects/Keywords: Energy; Heat transfer; Nonlinear regression models; Linear regression models; UCTD

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APA (6th Edition):

Van Zyl, W. R. (. R. (2013). Single-Phase convective heat transfer and pressure drop coefficients in concentric annual. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/33350

Chicago Manual of Style (16th Edition):

Van Zyl, W R (Warren Reece). “Single-Phase convective heat transfer and pressure drop coefficients in concentric annual.” 2013. Masters Thesis, University of Pretoria. Accessed October 24, 2019. http://hdl.handle.net/2263/33350.

MLA Handbook (7th Edition):

Van Zyl, W R (Warren Reece). “Single-Phase convective heat transfer and pressure drop coefficients in concentric annual.” 2013. Web. 24 Oct 2019.

Vancouver:

Van Zyl WR(R. Single-Phase convective heat transfer and pressure drop coefficients in concentric annual. [Internet] [Masters thesis]. University of Pretoria; 2013. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/2263/33350.

Council of Science Editors:

Van Zyl WR(R. Single-Phase convective heat transfer and pressure drop coefficients in concentric annual. [Masters Thesis]. University of Pretoria; 2013. Available from: http://hdl.handle.net/2263/33350


NSYSU

25. Ching, Yi-Ching. Factors Affecting the Carrying Capacity of a Rapid Transit System: The Case Study of Kaohsiung Rapid Transit System.

Degree: Master, Economics, 2014, NSYSU

 This study develops a multiple regression model and then applies the method of stepwise regression to study the factors affecting the carrying capacity of Kaohsiung… (more)

Subjects/Keywords: stepwise regression; carrying capacity; ordinary least squares; Multiple linear regression

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APA (6th Edition):

Ching, Y. (2014). Factors Affecting the Carrying Capacity of a Rapid Transit System: The Case Study of Kaohsiung Rapid Transit System. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-143301

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):

Ching, Yi-Ching. “Factors Affecting the Carrying Capacity of a Rapid Transit System: The Case Study of Kaohsiung Rapid Transit System.” 2014. Thesis, NSYSU. Accessed October 24, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-143301.

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

MLA Handbook (7th Edition):

Ching, Yi-Ching. “Factors Affecting the Carrying Capacity of a Rapid Transit System: The Case Study of Kaohsiung Rapid Transit System.” 2014. Web. 24 Oct 2019.

Vancouver:

Ching Y. Factors Affecting the Carrying Capacity of a Rapid Transit System: The Case Study of Kaohsiung Rapid Transit System. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Oct 24]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-143301.

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

Council of Science Editors:

Ching Y. Factors Affecting the Carrying Capacity of a Rapid Transit System: The Case Study of Kaohsiung Rapid Transit System. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629114-143301

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


Ohio University

26. Khajuria, Saket. A Model to Predict Student Matriculation from Admissions Data.

Degree: MS, Industrial and Manufacturing Systems Engineering (Engineering), 2007, Ohio University

  Enrollment in a university can be increased by changing any of the following three attributes: the applicant pool size, the marketing strategies for applicants,… (more)

Subjects/Keywords: Engineering, Industrial; Predictive Enrollment Modelling; Linear Regression; Logistic Regression

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APA (6th Edition):

Khajuria, S. (2007). A Model to Predict Student Matriculation from Admissions Data. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1167852960

Chicago Manual of Style (16th Edition):

Khajuria, Saket. “A Model to Predict Student Matriculation from Admissions Data.” 2007. Masters Thesis, Ohio University. Accessed October 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1167852960.

MLA Handbook (7th Edition):

Khajuria, Saket. “A Model to Predict Student Matriculation from Admissions Data.” 2007. Web. 24 Oct 2019.

Vancouver:

Khajuria S. A Model to Predict Student Matriculation from Admissions Data. [Internet] [Masters thesis]. Ohio University; 2007. [cited 2019 Oct 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1167852960.

Council of Science Editors:

Khajuria S. A Model to Predict Student Matriculation from Admissions Data. [Masters Thesis]. Ohio University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1167852960


University of Wollongong

27. Riyapan, Preeya. Model choices for complex survey analysis.

Degree: PhD, 2016, University of Wollongong

  Survey data are an important source of information for modern society. However, the complex structures of modern populations require sampling designs for surveys that… (more)

Subjects/Keywords: model choices; complex survey; population modelling; linear regression; logistic regression

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APA (6th Edition):

Riyapan, P. (2016). Model choices for complex survey analysis. (Doctoral Dissertation). University of Wollongong. Retrieved from ; https://ro.uow.edu.au/theses/4670

Chicago Manual of Style (16th Edition):

Riyapan, Preeya. “Model choices for complex survey analysis.” 2016. Doctoral Dissertation, University of Wollongong. Accessed October 24, 2019. ; https://ro.uow.edu.au/theses/4670.

MLA Handbook (7th Edition):

Riyapan, Preeya. “Model choices for complex survey analysis.” 2016. Web. 24 Oct 2019.

Vancouver:

Riyapan P. Model choices for complex survey analysis. [Internet] [Doctoral dissertation]. University of Wollongong; 2016. [cited 2019 Oct 24]. Available from: ; https://ro.uow.edu.au/theses/4670.

Council of Science Editors:

Riyapan P. Model choices for complex survey analysis. [Doctoral Dissertation]. University of Wollongong; 2016. Available from: ; https://ro.uow.edu.au/theses/4670


Rice University

28. Joshi, Babhru. A Convex Algorithm for Mixed Linear Regression.

Degree: MA, Engineering, 2017, Rice University

 Mixed linear regression is a high dimensional affine space clustering problem where the goal is to find the parameters of multiple affine spaces that best… (more)

Subjects/Keywords: mixed linear regression; mixed regression; mixture model; fused lasso

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APA (6th Edition):

Joshi, B. (2017). A Convex Algorithm for Mixed Linear Regression. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/95962

Chicago Manual of Style (16th Edition):

Joshi, Babhru. “A Convex Algorithm for Mixed Linear Regression.” 2017. Masters Thesis, Rice University. Accessed October 24, 2019. http://hdl.handle.net/1911/95962.

MLA Handbook (7th Edition):

Joshi, Babhru. “A Convex Algorithm for Mixed Linear Regression.” 2017. Web. 24 Oct 2019.

Vancouver:

Joshi B. A Convex Algorithm for Mixed Linear Regression. [Internet] [Masters thesis]. Rice University; 2017. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/1911/95962.

Council of Science Editors:

Joshi B. A Convex Algorithm for Mixed Linear Regression. [Masters Thesis]. Rice University; 2017. Available from: http://hdl.handle.net/1911/95962


University of Manitoba

29. Munaweera Arachchilage, Inesh Prabuddha. Shrinkage estimators under generalized garrote and LINEX loss functions for regression analysis.

Degree: Statistics, 2018, University of Manitoba

 Shrinkage methods are widely used in multiple linear regression analysis to address the multicollinearity and some other issues in many practical situations. Most of the… (more)

Subjects/Keywords: LINEX regression; Multiple linear regression; Non-negative garrote; Shrinkage methods

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APA (6th Edition):

Munaweera Arachchilage, I. P. (2018). Shrinkage estimators under generalized garrote and LINEX loss functions for regression analysis. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/33380

Chicago Manual of Style (16th Edition):

Munaweera Arachchilage, Inesh Prabuddha. “Shrinkage estimators under generalized garrote and LINEX loss functions for regression analysis.” 2018. Masters Thesis, University of Manitoba. Accessed October 24, 2019. http://hdl.handle.net/1993/33380.

MLA Handbook (7th Edition):

Munaweera Arachchilage, Inesh Prabuddha. “Shrinkage estimators under generalized garrote and LINEX loss functions for regression analysis.” 2018. Web. 24 Oct 2019.

Vancouver:

Munaweera Arachchilage IP. Shrinkage estimators under generalized garrote and LINEX loss functions for regression analysis. [Internet] [Masters thesis]. University of Manitoba; 2018. [cited 2019 Oct 24]. Available from: http://hdl.handle.net/1993/33380.

Council of Science Editors:

Munaweera Arachchilage IP. Shrinkage estimators under generalized garrote and LINEX loss functions for regression analysis. [Masters Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/33380


University of Alberta

30. Ávila Pires, Bernardo. Statistical analysis of L1-penalized linear estimation with applications.

Degree: MS, Department of Computing Science, 2011, University of Alberta

 We study linear estimation based on perturbed data when performance is measured by a matrix norm of the expected residual error, in particular, the case… (more)

Subjects/Keywords: linear estimation; linear regression; machine learning; Lasso; excess risk; reinforcement learning

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APA (6th Edition):

Ávila Pires, B. (2011). Statistical analysis of L1-penalized linear estimation with applications. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/dr26xz283

Chicago Manual of Style (16th Edition):

Ávila Pires, Bernardo. “Statistical analysis of L1-penalized linear estimation with applications.” 2011. Masters Thesis, University of Alberta. Accessed October 24, 2019. https://era.library.ualberta.ca/files/dr26xz283.

MLA Handbook (7th Edition):

Ávila Pires, Bernardo. “Statistical analysis of L1-penalized linear estimation with applications.” 2011. Web. 24 Oct 2019.

Vancouver:

Ávila Pires B. Statistical analysis of L1-penalized linear estimation with applications. [Internet] [Masters thesis]. University of Alberta; 2011. [cited 2019 Oct 24]. Available from: https://era.library.ualberta.ca/files/dr26xz283.

Council of Science Editors:

Ávila Pires B. Statistical analysis of L1-penalized linear estimation with applications. [Masters Thesis]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/dr26xz283

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