Contributed Papers

Probability Results and Hypothesis Testing Considerations

Thu, Aug 7, 10:30 AM - 12:20 PM Room CC-211 Music City Center

IMS

6 Presentations

A GROUP RESTRICTED INFERENCE PROCEDURE FOR CORRELATION COEFFICIENTS

10:35 AM - 10:50 AM

Co-authors: Sabyasachi Bera (National Institutes of Health), Sabyasachi Bera (National Institutes of Health), Farnaz Fouladi

Correlation coefficient Constrained Statistical Inference PAVA algorithm Group restricted ordering

A Simple Approach of Computing Tolerance Limits and Assessing Stress-Strength Reliability

10:50 AM - 11:05 AM

Co-authors: Kalimuthu Krishnamoorthy (University of Louisiana at Lafayette), Jie Peng (St. Ambrose University), Jie Peng (St. Ambrose University), IBRAHIM ADENEKAN

fiducial test parametric bootstrap quantile Satterthwaite approximation tolerance limits

Determining sample size to achieve an acceptable level of power with a Shiny app

11:05 AM - 11:20 AM

Co-authors: Lasanthi Pelawa Watagoda (Appalachian State University), Lasanthi Pelawa Watagoda (Appalachian State University), Hasthika Rupasinghe (Appalachian State University), Alan Arnholt (Appalachian State University)

Statistical Power Shiny App Non-central F Distribution Significance Level Experimental Design

New Robust Parametric Test Statistics Based on Absolute Deviations for Variance Hypothesis Testing

11:20 AM - 11:35 AM

Co-authors: Kayode Ayinde, Kayode Ayinde

New Parametric Test statistics Variance Monte Carlo Simulation Studies Type I error Power Robustness

On the Transmuted Gumbel-Weibull Distribution: Properties and Application

11:35 AM - 11:50 AM

Co-authors: Raid Al-Aqtash, Raid Al-Aqtash

T-R{Y}transmuted distributions estimation generalized distribution

Pairwise comparisons for small samples from normal mixtures : the unexpected role of skewness

11:50 AM - 12:05 PM

Co-authors: Mary Whiteside (University of Texas At Arlington), Mary Whiteside (University of Texas At Arlington), Mark Eakin (University of Texas-Arlington)

ANOVA methods power and robustness computer simulation procedures assumption violations