نتایج جستجو برای: one sample

تعداد نتایج: 2310989  

2013
Isaac Li Yi-Hsin Chen Jeffrey D. Kromrey

A simulation study was devised to evaluate the accuracy and precision of the GLIMMIX procedure when fitting the dichotomous Rasch model. The evaluation reviewed technicalities including item parameter recovery, standard error estimates, unstandardized and standardized fit indices produced by GLIMMIX. Factors manipulated in this study were test length (10, 20, 40, 60, and 80) and sample size (10...

2005
STEVEN M. BORTNICK ANGELA M. DEAN THOMAS J. SANTNER

The problem of providing lower confidence bounds for the mean improvements of p ≥ 2 test treatments over a control treatment is considered. The expected average and expected maximum allowances are two criteria for comparing different systems of confidence intervals or bounds. In this paper, lower bounds are derived for the expected average allowance and the expected maximum allowance of Dunnett...

2007
Larry Miller

Executive Summary While research on school finance equity has traditionally focused on disparities across school districts, recent years have witnessed increased attention to resource differences across individual schools, particularly within large school districts. With a majority of the existing evidence on intra-district equity coming from the nations largest districts, little is known about...

Journal: :Tobacco control 2015
James F Thrasher Amira Osman Crawford Moodie David Hammond Maansi Bansal-Travers K Michael Cummings Ron Borland Hua-Hie Yong James Hardin

INTRODUCTION Health warning labels (HWLs) on tobacco packaging can be used to provide smoking cessation information, but the impact of this information is not well understood. METHODS Online consumer panels of adult smokers from Canada, Australia and Mexico were surveyed in September 2012, January 2013 and May 2013; replenishment was used to maintain sample sizes of 1000 participants in each ...

Journal: :BMC Musculoskeletal Disorders 2008
Jinsil Sung Judith Siegel Paul Tornetta Mohit Bhandari

BACKGROUND Evidence-based medicine posits that health care research is founded upon clinically important differences in patient centered outcomes. Statistically significant differences between two treatments may not necessarily reflect a clinically important difference. We aimed to quantify the sample sizes and magnitude of treatment effects in a review of orthopaedic randomized trials with sta...

2012
Rong Chu Stephen D. Walter Gordon Guyatt P. J. Devereaux Michael Walsh Kristian Thorlund Lehana Thabane

BACKGROUND Chance imbalance in baseline prognosis of a randomized controlled trial can lead to over or underestimation of treatment effects, particularly in trials with small sample sizes. Our study aimed to (1) evaluate the probability of imbalance in a binary prognostic factor (PF) between two treatment arms, (2) investigate the impact of prognostic imbalance on the estimation of a treatment ...

2015
Wu Gong

This paper introduces Jeffreys interval for one-sample proportion using SAS® software. It compares the credible interval from a Bayesian approach with the confidence interval from a frequentist approach. Different ways to calculate the Jeffreys interval are presented using PROC FREQ, the QUANTILE function, a SAS program of random walk Metropolis sampler, and PROC MCMC.

2009
Mansour Alsulaiman Ghulam Muhammad Yousef Alotaibi Awais Mahmood Mohamed Abdelkader

Speaker recognition system is the process of automatically recognizing the person from his/her speech. To correctly recognize a speaker by the system, many speech samples are needed at different times from each speaker. However, in some applications, such as forensic, the number of samples for each speaker is very limited. In this paper, a method is proposed to train the speaker recognition sys...

2010
Minyoung Kim Zengyin Zhang Fernando de la Torre Wende Zhang W. Zhang

Subspace methods have been extensively used to solve a variety of problems in computer vision including object detection, recognition, and tracking. Typically, subspaces are learned from a training set that contains different configurations of a particular object (e.g., variations on shape or appearance). However, in some situations it is not possible to have access to data with multiple config...

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