Advanced search options

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

You searched for `+publisher:"Kansas State University" +contributor:("Paul I. Nelson")`

.
Showing records 1 – 12 of
12 total matches.

▼ Search Limiters

1. Dey, Rajarshi. Inference for the K-sample problem based on precedence probabilities.

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

URL: http://hdl.handle.net/2097/12000

► Rank based inference using independent random samples to compare K>1 continuous distributions, called the K-sample problem, based on precedence probabilities is developed and explored. There…
(more)

Subjects/Keywords: Precedence probabilities; Nonlinear rank-based statistic; U-statistic; K-sample problem; Index measures of distance among distributions; Hypervolume under ROC manifold; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Dey, R. (2012). Inference for the K-sample problem based on precedence probabilities. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/12000

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

Dey, Rajarshi. “Inference for the K-sample problem based on precedence probabilities.” 2012. Doctoral Dissertation, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/12000.

MLA Handbook (7^{th} Edition):

Dey, Rajarshi. “Inference for the K-sample problem based on precedence probabilities.” 2012. Web. 24 Jan 2020.

Vancouver:

Dey R. Inference for the K-sample problem based on precedence probabilities. [Internet] [Doctoral dissertation]. Kansas State University; 2012. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/12000.

Council of Science Editors:

Dey R. Inference for the K-sample problem based on precedence probabilities. [Doctoral Dissertation]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/12000

2. Hua, Jianjun. Confidence intervals for population size based on a capture-recapture design.

Degree: MS, Department of Statistics, 2011, Kansas State University

URL: http://hdl.handle.net/2097/13103

► Capture-Recaputre (CR) experiments stemmed from the study of wildlife and are widely used in areas such as ecology, epidemiology, evaluation of census undercounts, and software…
(more)

Subjects/Keywords: Capture-recapture; Confidence interval; Population size; Asymptotic normality estimation; Inverting a test; Coverage rate; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Hua, J. (2011). Confidence intervals for population size based on a capture-recapture design. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/13103

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

Hua, Jianjun. “Confidence intervals for population size based on a capture-recapture design.” 2011. Masters Thesis, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/13103.

MLA Handbook (7^{th} Edition):

Hua, Jianjun. “Confidence intervals for population size based on a capture-recapture design.” 2011. Web. 24 Jan 2020.

Vancouver:

Hua J. Confidence intervals for population size based on a capture-recapture design. [Internet] [Masters thesis]. Kansas State University; 2011. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/13103.

Council of Science Editors:

Hua J. Confidence intervals for population size based on a capture-recapture design. [Masters Thesis]. Kansas State University; 2011. Available from: http://hdl.handle.net/2097/13103

Kansas State University

3. Ling, Yan. Inference for the intrinsic separation among distributions which may differ in location and scale.

Degree: PhD, Department of Statistics, 2009, Kansas State University

URL: http://hdl.handle.net/2097/1845

► The null hypothesis of equal distributions, H0 : F1[equals]F2[equals]...[equals]FK , is commonly used to compare two or more treatments based on data consisting of independent…
(more)

Subjects/Keywords: intrinsic separation parameter (ISP); normal distribution; nuisance parameter; p-value; average p-value; parametric bootstrap test; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Ling, Y. (2009). Inference for the intrinsic separation among distributions which may differ in location and scale. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/1845

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

Ling, Yan. “Inference for the intrinsic separation among distributions which may differ in location and scale.” 2009. Doctoral Dissertation, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/1845.

MLA Handbook (7^{th} Edition):

Ling, Yan. “Inference for the intrinsic separation among distributions which may differ in location and scale.” 2009. Web. 24 Jan 2020.

Vancouver:

Ling Y. Inference for the intrinsic separation among distributions which may differ in location and scale. [Internet] [Doctoral dissertation]. Kansas State University; 2009. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/1845.

Council of Science Editors:

Ling Y. Inference for the intrinsic separation among distributions which may differ in location and scale. [Doctoral Dissertation]. Kansas State University; 2009. Available from: http://hdl.handle.net/2097/1845

Kansas State University

4. Gayle, Suelen S. A simulation study of the size and power of Cochran’s Q versus the standard Chi-square test for testing the equality of correlated proportions.

Degree: MS, Department of Statistics, 2010, Kansas State University

URL: http://hdl.handle.net/2097/3881

► The standard Chi-square test for the equality of proportions of positive responses to c specified binary questions is valid when the observed responses arise from…
(more)

Subjects/Keywords: Cochran's Q; Chi-Square; Binary Correlated Proportions; Power; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Gayle, S. S. (2010). A simulation study of the size and power of Cochran’s Q versus the standard Chi-square test for testing the equality of correlated proportions. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/3881

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

Gayle, Suelen S. “A simulation study of the size and power of Cochran’s Q versus the standard Chi-square test for testing the equality of correlated proportions.” 2010. Masters Thesis, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/3881.

MLA Handbook (7^{th} Edition):

Gayle, Suelen S. “A simulation study of the size and power of Cochran’s Q versus the standard Chi-square test for testing the equality of correlated proportions.” 2010. Web. 24 Jan 2020.

Vancouver:

Gayle SS. A simulation study of the size and power of Cochran’s Q versus the standard Chi-square test for testing the equality of correlated proportions. [Internet] [Masters thesis]. Kansas State University; 2010. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/3881.

Council of Science Editors:

Gayle SS. A simulation study of the size and power of Cochran’s Q versus the standard Chi-square test for testing the equality of correlated proportions. [Masters Thesis]. Kansas State University; 2010. Available from: http://hdl.handle.net/2097/3881

5. Serasinghe, Shyamalee Kumary. A simulation comparison of parametric and nonparametric estimators of quantiles from right censored data.

Degree: MS, Department of Statistics, 2010, Kansas State University

URL: http://hdl.handle.net/2097/4318

► Quantiles are useful in describing distributions of component lifetimes. Data, consisting of the lifetimes of sample units, used to estimate quantiles are often censored. Right…
(more)

Subjects/Keywords: Estimating Quantiles; Right Censored Data; Generating Right Censored Data; Kaplan-Meier Estimator; Parametric Estimators of Quantiles; Nonparametric Estimators of Quantiles; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Serasinghe, S. K. (2010). A simulation comparison of parametric and nonparametric estimators of quantiles from right censored data. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/4318

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

Serasinghe, Shyamalee Kumary. “A simulation comparison of parametric and nonparametric estimators of quantiles from right censored data.” 2010. Masters Thesis, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/4318.

MLA Handbook (7^{th} Edition):

Serasinghe, Shyamalee Kumary. “A simulation comparison of parametric and nonparametric estimators of quantiles from right censored data.” 2010. Web. 24 Jan 2020.

Vancouver:

Serasinghe SK. A simulation comparison of parametric and nonparametric estimators of quantiles from right censored data. [Internet] [Masters thesis]. Kansas State University; 2010. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/4318.

Council of Science Editors:

Serasinghe SK. A simulation comparison of parametric and nonparametric estimators of quantiles from right censored data. [Masters Thesis]. Kansas State University; 2010. Available from: http://hdl.handle.net/2097/4318

Kansas State University

6. Paranagama, Thilanka Dilruwani. A simulation study of the robustness of the least median of squares estimator of slope in a regression through the origin model.

Degree: MS, Department of Statistics, 2010, Kansas State University

URL: http://hdl.handle.net/2097/7045

► The principle of least squares applied to regression models estimates parameters by minimizing the mean of squared residuals. Least squares estimators are optimal under normality…
(more)

Subjects/Keywords: Least median of squares estimates; Regression; Estimates; Median; Regression through the origin; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Paranagama, T. D. (2010). A simulation study of the robustness of the least median of squares estimator of slope in a regression through the origin model. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/7045

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

Paranagama, Thilanka Dilruwani. “A simulation study of the robustness of the least median of squares estimator of slope in a regression through the origin model.” 2010. Masters Thesis, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/7045.

MLA Handbook (7^{th} Edition):

Paranagama, Thilanka Dilruwani. “A simulation study of the robustness of the least median of squares estimator of slope in a regression through the origin model.” 2010. Web. 24 Jan 2020.

Vancouver:

Paranagama TD. A simulation study of the robustness of the least median of squares estimator of slope in a regression through the origin model. [Internet] [Masters thesis]. Kansas State University; 2010. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/7045.

Council of Science Editors:

Paranagama TD. A simulation study of the robustness of the least median of squares estimator of slope in a regression through the origin model. [Masters Thesis]. Kansas State University; 2010. Available from: http://hdl.handle.net/2097/7045

7. Devamitta Perera, Muditha Virangika. Robustness of normal theory inference when random effects are not normally distributed.

Degree: MS, Department of Statistics, 2011, Kansas State University

URL: http://hdl.handle.net/2097/8786

► The variance of a response in a one-way random effects model can be expressed as the sum of the variability among and within treatment levels.…
(more)

Subjects/Keywords: Random Effects Models; Non-normal random effects; Variance Components; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Devamitta Perera, M. V. (2011). Robustness of normal theory inference when random effects are not normally distributed. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/8786

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

Devamitta Perera, Muditha Virangika. “Robustness of normal theory inference when random effects are not normally distributed.” 2011. Masters Thesis, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/8786.

MLA Handbook (7^{th} Edition):

Devamitta Perera, Muditha Virangika. “Robustness of normal theory inference when random effects are not normally distributed.” 2011. Web. 24 Jan 2020.

Vancouver:

Devamitta Perera MV. Robustness of normal theory inference when random effects are not normally distributed. [Internet] [Masters thesis]. Kansas State University; 2011. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/8786.

Council of Science Editors:

Devamitta Perera MV. Robustness of normal theory inference when random effects are not normally distributed. [Masters Thesis]. Kansas State University; 2011. Available from: http://hdl.handle.net/2097/8786

Kansas State University

8. Wu, Yun. A simulation study of the robustness of Hotelling’s T2 test for the mean of a multivariate distribution when sampling from a multivariate skew-normal distribution.

Degree: MS, Department of Statistics, 2009, Kansas State University

URL: http://hdl.handle.net/2097/1939

► Hotelling’s T2 test is the standard tool for inference about the mean of a multivariate normal population. However, this test may perform poorly when used…
(more)

Subjects/Keywords: Simulation study; Hotelling's T2 test; Skew normal; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Wu, Y. (2009). A simulation study of the robustness of Hotelling’s T2 test for the mean of a multivariate distribution when sampling from a multivariate skew-normal distribution. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/1939

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

Wu, Yun. “A simulation study of the robustness of Hotelling’s T2 test for the mean of a multivariate distribution when sampling from a multivariate skew-normal distribution.” 2009. Masters Thesis, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/1939.

MLA Handbook (7^{th} Edition):

Wu, Yun. “A simulation study of the robustness of Hotelling’s T2 test for the mean of a multivariate distribution when sampling from a multivariate skew-normal distribution.” 2009. Web. 24 Jan 2020.

Vancouver:

Wu Y. A simulation study of the robustness of Hotelling’s T2 test for the mean of a multivariate distribution when sampling from a multivariate skew-normal distribution. [Internet] [Masters thesis]. Kansas State University; 2009. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/1939.

Council of Science Editors:

Wu Y. A simulation study of the robustness of Hotelling’s T2 test for the mean of a multivariate distribution when sampling from a multivariate skew-normal distribution. [Masters Thesis]. Kansas State University; 2009. Available from: http://hdl.handle.net/2097/1939

9. Makarova, Natalya. A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions.

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

URL: http://hdl.handle.net/2097/14749

► Suppose that based on data consisting of independent repetitions of an experiment a researcher wants to predict the outcome of the next independent outcome of…
(more)

Subjects/Keywords: Prediction intervals; Robustness; Simulation study; Location-scale family of distributions; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Makarova, N. (2012). A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/14749

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

Makarova, Natalya. “A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions.” 2012. Masters Thesis, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/14749.

MLA Handbook (7^{th} Edition):

Makarova, Natalya. “A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions.” 2012. Web. 24 Jan 2020.

Vancouver:

Makarova N. A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions. [Internet] [Masters thesis]. Kansas State University; 2012. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/14749.

Council of Science Editors:

Makarova N. A simulation study of the robustness of prediction intervals for an independent observation obtained from a random sample from an assumed location-scale family of distributions. [Masters Thesis]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/14749

10.
Jiao, Yuanfang.
A simulation
comparison of two methods for controlling the experiment-wise Type
*I* error rate of correlated tests for contrasts in one-way
completely randomized designs.

Degree: MS, Department of Statistics, 2014, Kansas State University

URL: http://hdl.handle.net/2097/17619

► A Bonferroni and an ordered P-value solution to the problem of controlling the experiment-wise Type *I* error rate are studied and compared in terms of…
(more)

Subjects/Keywords: Experiment-wise type I error; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Jiao, Y. (2014). A simulation comparison of two methods for controlling the experiment-wise Type I error rate of correlated tests for contrasts in one-way completely randomized designs. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/17619

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

Jiao, Yuanfang. “A simulation comparison of two methods for controlling the experiment-wise Type I error rate of correlated tests for contrasts in one-way completely randomized designs.” 2014. Masters Thesis, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/17619.

MLA Handbook (7^{th} Edition):

Jiao, Yuanfang. “A simulation comparison of two methods for controlling the experiment-wise Type I error rate of correlated tests for contrasts in one-way completely randomized designs.” 2014. Web. 24 Jan 2020.

Vancouver:

Jiao Y. A simulation comparison of two methods for controlling the experiment-wise Type I error rate of correlated tests for contrasts in one-way completely randomized designs. [Internet] [Masters thesis]. Kansas State University; 2014. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/17619.

Council of Science Editors:

Jiao Y. A simulation comparison of two methods for controlling the experiment-wise Type I error rate of correlated tests for contrasts in one-way completely randomized designs. [Masters Thesis]. Kansas State University; 2014. Available from: http://hdl.handle.net/2097/17619

Kansas State University

11. Yankovskyy, Yevhen. Application of a Gibbs Sampler to estimating parameters of a hierarchical normal model with a time trend and testing for existence of the global warming.

Degree: MS, Department of Statistics, 2008, Kansas State University

URL: http://hdl.handle.net/2097/1010

► This research is devoted to studying statistical inference implemented using the Gibbs Sampler for a hierarchical Bayesian linear model with first order autoregressive structure. This…
(more)

Subjects/Keywords: hierarchical; model; Gibbs; Sampler; global; warming; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Yankovskyy, Y. (2008). Application of a Gibbs Sampler to estimating parameters of a hierarchical normal model with a time trend and testing for existence of the global warming. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/1010

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

Yankovskyy, Yevhen. “Application of a Gibbs Sampler to estimating parameters of a hierarchical normal model with a time trend and testing for existence of the global warming.” 2008. Masters Thesis, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/1010.

MLA Handbook (7^{th} Edition):

Yankovskyy, Yevhen. “Application of a Gibbs Sampler to estimating parameters of a hierarchical normal model with a time trend and testing for existence of the global warming.” 2008. Web. 24 Jan 2020.

Vancouver:

Yankovskyy Y. Application of a Gibbs Sampler to estimating parameters of a hierarchical normal model with a time trend and testing for existence of the global warming. [Internet] [Masters thesis]. Kansas State University; 2008. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/1010.

Council of Science Editors:

Yankovskyy Y. Application of a Gibbs Sampler to estimating parameters of a hierarchical normal model with a time trend and testing for existence of the global warming. [Masters Thesis]. Kansas State University; 2008. Available from: http://hdl.handle.net/2097/1010

Kansas State University

12. Yang, Celeste. A study of the calibration-inverse prediction problem in a mixed model setting.

Degree: MS, Department of Statistics, 2008, Kansas State University

URL: http://hdl.handle.net/2097/1079

► The Calibration-Inverse Prediction Problem was investigated in a mixed model setting. Two methods were used to construct inverse prediction intervals. Method 1 ignores the random…
(more)

Subjects/Keywords: Calibration; Inverse Prediction; Mixed Model; RTLA; Statistics (0463)

Record Details Similar Records

❌

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

APA (6^{th} Edition):

Yang, C. (2008). A study of the calibration-inverse prediction problem in a mixed model setting. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/1079

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

Yang, Celeste. “A study of the calibration-inverse prediction problem in a mixed model setting.” 2008. Masters Thesis, Kansas State University. Accessed January 24, 2020. http://hdl.handle.net/2097/1079.

MLA Handbook (7^{th} Edition):

Yang, Celeste. “A study of the calibration-inverse prediction problem in a mixed model setting.” 2008. Web. 24 Jan 2020.

Vancouver:

Yang C. A study of the calibration-inverse prediction problem in a mixed model setting. [Internet] [Masters thesis]. Kansas State University; 2008. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2097/1079.

Council of Science Editors:

Yang C. A study of the calibration-inverse prediction problem in a mixed model setting. [Masters Thesis]. Kansas State University; 2008. Available from: http://hdl.handle.net/2097/1079