Advanced search options

Sorted by: relevance · author · university · date | New search

Dept: Statistics ^{❌}

You searched for `subject:(Errors)`

.
Showing records 1 – 12 of
12 total matches.

▼ Search Limiters

Penn State University

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

Degree: MS, Statistics, 2014, Penn State University

URL: https://etda.libraries.psu.edu/catalog/21780

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://etda.libraries.psu.edu/catalog/18557

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.escholarship.org/uc/item/0rg9z7d7

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1433770406

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.lib.ncsu.edu/resolver/1840.16/3087

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0045795

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0044593

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0045722

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10217/80990

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/AA00052595

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UFE0043359

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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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.

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

Author name may be incomplete

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

Degree: Statistics, 2013, Stockholm University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-97524

► 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…

Record Details Similar Records

❌

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation