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Dept: Statistics

You searched for subject:(Errors). Showing records 1 – 12 of 12 total matches.

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Penn State University

1. Yang, Tao. An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors.

Degree: MS, Statistics, 2014, Penn State University

 Many tagging SNP selection methods depend heavily on the estimated haplotype frequencies. One limitation of the existing tagging SNP selection algorithms is that they assume… (more)

Subjects/Keywords: tagging SNP selection; EM algorithm; genotyping errors

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APA (6th Edition):

Yang, T. (2014). An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/21780

Chicago Manual of Style (16th Edition):

Yang, Tao. “An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors.” 2014. Masters Thesis, Penn State University. Accessed October 18, 2019. https://etda.libraries.psu.edu/catalog/21780.

MLA Handbook (7th Edition):

Yang, Tao. “An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors.” 2014. Web. 18 Oct 2019.

Vancouver:

Yang T. An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors. [Internet] [Masters thesis]. Penn State University; 2014. [cited 2019 Oct 18]. Available from: https://etda.libraries.psu.edu/catalog/21780.

Council of Science Editors:

Yang T. An EM Based Tagging SNP Selection Algorithm Incorporating Genotyping Errors. [Masters Thesis]. Penn State University; 2014. Available from: https://etda.libraries.psu.edu/catalog/21780


Penn State University

2. Kim, Seonjin. Three essays on nonparametric inference for longitudinal data and time series data.

Degree: PhD, Statistics, 2013, Penn State University

 This thesis consists of three essays on nonparametric inference problems for dependent data, such as longitudinal data and time series data. In the literature on… (more)

Subjects/Keywords: Locally stationary process; Longitudinal data; Measurement errors; Nonparametric inference; Quantile regression; Time series

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APA (6th Edition):

Kim, S. (2013). Three essays on nonparametric inference for longitudinal data and time series data. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/18557

Chicago Manual of Style (16th Edition):

Kim, Seonjin. “Three essays on nonparametric inference for longitudinal data and time series data.” 2013. Doctoral Dissertation, Penn State University. Accessed October 18, 2019. https://etda.libraries.psu.edu/catalog/18557.

MLA Handbook (7th Edition):

Kim, Seonjin. “Three essays on nonparametric inference for longitudinal data and time series data.” 2013. Web. 18 Oct 2019.

Vancouver:

Kim S. Three essays on nonparametric inference for longitudinal data and time series data. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2019 Oct 18]. Available from: https://etda.libraries.psu.edu/catalog/18557.

Council of Science Editors:

Kim S. Three essays on nonparametric inference for longitudinal data and time series data. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/18557


University of California – Irvine

3. Xu, Jin. Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics.

Degree: Statistics, 2014, University of California – Irvine

 Systematic instrumental uncertainties in astronomical analyses have been generally ignored in data analysis due to the lack of robust principled methods, though the importance of… (more)

Subjects/Keywords: Statistics; Astrophysics; Bayesian Method; Calibration Uncertainty; Detectors; High-Energy Astrophysics; Spectral Analysis; Systematic Errors

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APA (6th Edition):

Xu, J. (2014). Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/0rg9z7d7

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):

Xu, Jin. “Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics.” 2014. Thesis, University of California – Irvine. Accessed October 18, 2019. http://www.escholarship.org/uc/item/0rg9z7d7.

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

MLA Handbook (7th Edition):

Xu, Jin. “Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics.” 2014. Web. 18 Oct 2019.

Vancouver:

Xu J. Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2019 Oct 18]. Available from: http://www.escholarship.org/uc/item/0rg9z7d7.

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

Council of Science Editors:

Xu J. Accounting for Calibration Uncertainty in Detectors for High-Energy Astrophysics. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/0rg9z7d7

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


The Ohio State University

4. Olsen, Andrew Nolan. When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods.

Degree: PhD, Statistics, 2015, The Ohio State University

 Markov chains are an incredibly powerful tool for statisticians and other practitioners. They allow for random draws, though autocorrelated, to be obtained from a vast… (more)

Subjects/Keywords: Statistics; Markov chain Monte Carlo convergence; Markov chain Monte Carlo standard errors; geometric ergodicity; scale-usage heterogeneity

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APA (6th Edition):

Olsen, A. N. (2015). When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1433770406

Chicago Manual of Style (16th Edition):

Olsen, Andrew Nolan. “When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods.” 2015. Doctoral Dissertation, The Ohio State University. Accessed October 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1433770406.

MLA Handbook (7th Edition):

Olsen, Andrew Nolan. “When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods.” 2015. Web. 18 Oct 2019.

Vancouver:

Olsen AN. When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Oct 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433770406.

Council of Science Editors:

Olsen AN. When Infinity is Too Long to Wait: On the Convergence of Markov Chain Monte Carlo Methods. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433770406


North Carolina State University

5. Gosky, Ross Matthew. Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models.

Degree: PhD, Statistics, 2005, North Carolina State University

 Capture-Recapture models are used to estimate the unknown sizes of animal populations. When the population is closed, with constant size, during the study, eight standard… (more)

Subjects/Keywords: Bayesian; Model Selection; Matching Errors; mark-recapture; capture-recapture

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

APA (6th Edition):

Gosky, R. M. (2005). Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/3087

Chicago Manual of Style (16th Edition):

Gosky, Ross Matthew. “Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models.” 2005. Doctoral Dissertation, North Carolina State University. Accessed October 18, 2019. http://www.lib.ncsu.edu/resolver/1840.16/3087.

MLA Handbook (7th Edition):

Gosky, Ross Matthew. “Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models.” 2005. Web. 18 Oct 2019.

Vancouver:

Gosky RM. Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models. [Internet] [Doctoral dissertation]. North Carolina State University; 2005. [cited 2019 Oct 18]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3087.

Council of Science Editors:

Gosky RM. Bayesian Analysis and Matching Errors in Closed Population Capture Recapture Models. [Doctoral Dissertation]. North Carolina State University; 2005. Available from: http://www.lib.ncsu.edu/resolver/1840.16/3087


University of Florida

6. Li, Ke. Bayesian Multiple Testing under Sparsity for Exponential Distributions.

Degree: PhD, Statistics, 2013, University of Florida

 Multiple testing problems are gaining increasing prominence in statistical research. The prime reason behind this is that there is a growing need for statisticians to… (more)

Subjects/Keywords: Bayes theorem; Blood grouping; False negative errors; Logical givens; Mathematical procedures; Null hypothesis; Oracles; P values; Statistics; Sufficient conditions; asymptotic  – optimality

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APA (6th Edition):

Li, K. (2013). Bayesian Multiple Testing under Sparsity for Exponential Distributions. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045795

Chicago Manual of Style (16th Edition):

Li, Ke. “Bayesian Multiple Testing under Sparsity for Exponential Distributions.” 2013. Doctoral Dissertation, University of Florida. Accessed October 18, 2019. http://ufdc.ufl.edu/UFE0045795.

MLA Handbook (7th Edition):

Li, Ke. “Bayesian Multiple Testing under Sparsity for Exponential Distributions.” 2013. Web. 18 Oct 2019.

Vancouver:

Li K. Bayesian Multiple Testing under Sparsity for Exponential Distributions. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Oct 18]. Available from: http://ufdc.ufl.edu/UFE0045795.

Council of Science Editors:

Li K. Bayesian Multiple Testing under Sparsity for Exponential Distributions. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045795


University of Florida

7. Savenkov, Oleksandr. Novel Methods for Time Series Data in Clinical Studies.

Degree: PhD, Statistics, 2012, University of Florida

 Single subject or n-of-1 research designs have been widely used to evaluate treatment interventions. Many statistical procedures, such as: split-middle trend lines, regression trend line,… (more)

Subjects/Keywords: Autocorrelation; Autoregressive moving average; Data lines; False positive errors; Modeling; Permutation tests; Statistical models; Statistics; Time series; Time series models; design  – series  – single  – subject  – time

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APA (6th Edition):

Savenkov, O. (2012). Novel Methods for Time Series Data in Clinical Studies. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044593

Chicago Manual of Style (16th Edition):

Savenkov, Oleksandr. “Novel Methods for Time Series Data in Clinical Studies.” 2012. Doctoral Dissertation, University of Florida. Accessed October 18, 2019. http://ufdc.ufl.edu/UFE0044593.

MLA Handbook (7th Edition):

Savenkov, Oleksandr. “Novel Methods for Time Series Data in Clinical Studies.” 2012. Web. 18 Oct 2019.

Vancouver:

Savenkov O. Novel Methods for Time Series Data in Clinical Studies. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2019 Oct 18]. Available from: http://ufdc.ufl.edu/UFE0044593.

Council of Science Editors:

Savenkov O. Novel Methods for Time Series Data in Clinical Studies. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044593


University of Florida

8. Wang, Shu. Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors.

Degree: PhD, Statistics, 2013, University of Florida

 Spatial data arise in a variety of fields, including econometrics, epidemiology, environmental science, and image analysis. As spatial data are increasingly prevalent, appropriate quantitative analyses… (more)

Subjects/Keywords: Bandwidth; Covariance; Estimation bias; Estimation methods; Estimators; Estimators for the mean; Nonparametric models; Sample size; Simulations; Spatial data; additive  – bandwidth  – correlated  – errors  – model  – nonparametric  – regression  – selection  – spatial

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APA (6th Edition):

Wang, S. (2013). Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045722

Chicago Manual of Style (16th Edition):

Wang, Shu. “Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors.” 2013. Doctoral Dissertation, University of Florida. Accessed October 18, 2019. http://ufdc.ufl.edu/UFE0045722.

MLA Handbook (7th Edition):

Wang, Shu. “Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors.” 2013. Web. 18 Oct 2019.

Vancouver:

Wang S. Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2019 Oct 18]. Available from: http://ufdc.ufl.edu/UFE0045722.

Council of Science Editors:

Wang S. Extending the Nadaraya-Waston Estimator for Data with Spatially Correlated Errors. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045722


Colorado State University

9. Wang, Huan. Constrained spline regression and hypothesis tests in the presence of correlation.

Degree: PhD, Statistics, 2007, Colorado State University

 Extracting the trend from the pattern of observations is always difficult, especially when the trend is obscured by correlated errors. Often, prior knowledge of the… (more)

Subjects/Keywords: AR(p) errors; correlation-adjusted AIC; hypothesis test; shape restriction; spline regression

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APA (6th Edition):

Wang, H. (2007). Constrained spline regression and hypothesis tests in the presence of correlation. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/80990

Chicago Manual of Style (16th Edition):

Wang, Huan. “Constrained spline regression and hypothesis tests in the presence of correlation.” 2007. Doctoral Dissertation, Colorado State University. Accessed October 18, 2019. http://hdl.handle.net/10217/80990.

MLA Handbook (7th Edition):

Wang, Huan. “Constrained spline regression and hypothesis tests in the presence of correlation.” 2007. Web. 18 Oct 2019.

Vancouver:

Wang H. Constrained spline regression and hypothesis tests in the presence of correlation. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10217/80990.

Council of Science Editors:

Wang H. Constrained spline regression and hypothesis tests in the presence of correlation. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/80990


University of Florida

10. Ajmani, Vivek Balraj, 1963-. Robust multivariate control charts.

Degree: PhD, Statistics, 1998, University of Florida

Subjects/Keywords: Charts; Degrees of freedom; False positive errors; Gaussian distributions; Sample size; Signals; Simulations; Statistics; Subroutines; T distribution

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APA (6th Edition):

Ajmani, Vivek Balraj, 1. (1998). Robust multivariate control charts. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/AA00052595

Chicago Manual of Style (16th Edition):

Ajmani, Vivek Balraj, 1963-. “Robust multivariate control charts.” 1998. Doctoral Dissertation, University of Florida. Accessed October 18, 2019. http://ufdc.ufl.edu/AA00052595.

MLA Handbook (7th Edition):

Ajmani, Vivek Balraj, 1963-. “Robust multivariate control charts.” 1998. Web. 18 Oct 2019.

Vancouver:

Ajmani, Vivek Balraj 1. Robust multivariate control charts. [Internet] [Doctoral dissertation]. University of Florida; 1998. [cited 2019 Oct 18]. Available from: http://ufdc.ufl.edu/AA00052595.

Council of Science Editors:

Ajmani, Vivek Balraj 1. Robust multivariate control charts. [Doctoral Dissertation]. University of Florida; 1998. Available from: http://ufdc.ufl.edu/AA00052595


University of Florida

11. Sun,Anqi. Strong Type I Error Control and Point Estimation in Two-Stage Adaptive Designs.

Degree: PhD, Statistics, 2011, University of Florida

A main objective of clinical trials is to test and prove the Advisors/Committee Members: Wu, Samuel S (committee chair), Ghosh, Malay (committee member), Lu, Xiaomin (committee member).

Subjects/Keywords: Clinical trials; Estimation bias; Estimators; Estimators for the mean; False positive errors; Null hypothesis; Sample mean; Sample size; Simulations; Statistics

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APA (6th Edition):

Sun,Anqi. (2011). Strong Type I Error Control and Point Estimation in Two-Stage Adaptive Designs. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043359

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

Chicago Manual of Style (16th Edition):

Sun,Anqi. “Strong Type I Error Control and Point Estimation in Two-Stage Adaptive Designs.” 2011. Doctoral Dissertation, University of Florida. Accessed October 18, 2019. http://ufdc.ufl.edu/UFE0043359.

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

MLA Handbook (7th Edition):

Sun,Anqi. “Strong Type I Error Control and Point Estimation in Two-Stage Adaptive Designs.” 2011. Web. 18 Oct 2019.

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

Vancouver:

Sun,Anqi. Strong Type I Error Control and Point Estimation in Two-Stage Adaptive Designs. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2019 Oct 18]. Available from: http://ufdc.ufl.edu/UFE0043359.

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

Council of Science Editors:

Sun,Anqi. Strong Type I Error Control and Point Estimation in Two-Stage Adaptive Designs. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043359

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

12. Berg, Marcus. Evaluating Quality of Online Behavior Data.

Degree: Statistics, 2013, Stockholm University

  This thesis has two purposes; emphasizing the importance of data quality of Big Data, and identifying and evaluating potential error sources in JavaScript tracking… (more)

Subjects/Keywords: Big Data; Data quality; Total Survey Error; Nonsampling errors; Web analytics; Clickstream data; JavaScript tracking; Social Sciences Interdisciplinary; Tvärvetenskapliga studier inom samhällsvetenskap

…understand the statistical errors related to client side on-site data collection, one must first… …Total Survey Error (TSE) is a framework that identifies and evaluates errors… …x29;. In survey methodology TSE is separated into sampling errors and nonsampling errors… …Sampling errors are errors that occur due to the sampling scheme, the sample size and the choice… …of the estimators for the survey. Nonsampling errors occur either due to erroneous data… 

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APA (6th Edition):

Berg, M. (2013). Evaluating Quality of Online Behavior Data. (Thesis). Stockholm University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-97524

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):

Berg, Marcus. “Evaluating Quality of Online Behavior Data.” 2013. Thesis, Stockholm University. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-97524.

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

MLA Handbook (7th Edition):

Berg, Marcus. “Evaluating Quality of Online Behavior Data.” 2013. Web. 18 Oct 2019.

Vancouver:

Berg M. Evaluating Quality of Online Behavior Data. [Internet] [Thesis]. Stockholm University; 2013. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-97524.

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

Council of Science Editors:

Berg M. Evaluating Quality of Online Behavior Data. [Thesis]. Stockholm University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-97524

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

.