Results 121 to 130 of about 3,328,774 (379)
Common pitfalls in statistical analysis: Clinical versus statistical significance
In clinical research, study results, which are statistically significant are often interpreted as being clinically important. While statistical significance indicates the reliability of the study results, clinical significance reflects its impact on ...
Priya Ranganathan+2 more
doaj +1 more source
Variable-width confidence intervals in Gaussian regression and penalized maximum likelihood estimators [PDF]
Hard thresholding, LASSO , adaptive LASSO and SCAD point estimators have been suggested for use in the linear regression context when most of the components of the regression parameter vector are believed to be zero, a sparsity type of assumption. Potscher and Schneider, 2010, Electronic Journal of Statistics, have considered the properties of fixed ...
arxiv
Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method
Within-subject ANOVAs are a powerful tool to analyze data because the variance associated to differences between the participants is removed from the analysis.
D. Cousineau
semanticscholar +1 more source
Simple Confidence Intervals for MCMC Without CLTs [PDF]
This short note argues that 95% confidence intervals for MCMC estimates can be obtained even without establishing a CLT, by multiplying their widths by 2.3.
arxiv
On the variety of methods for calculating confidence intervals by bootstrapping.
Researchers often want to place a confidence interval around estimated parameter values calculated from a sample. This is commonly implemented by bootstrapping. There are several different frequently used bootstrapping methods for this purpose.
M. Puth, M. Neuhäuser, G. Ruxton
semanticscholar +1 more source
Wrapping input–output multipliers in confidence intervals
Input–output multipliers are typically calculated as point estimates of the Leontief quantity model. From the previous literature, they can also be estimated (and their confidence intervals) directly from establishments’/industries’ inputs and outputs ...
Robert Stehrer+3 more
doaj +1 more source
Simultaneous Confidence Interval Estimation [PDF]
Sasanka Roy, R. C. Bose
openalex +1 more source
Learning about confidence intervals with software R
This work was to study the feasibility of implementing a teaching method that employs software, in a Computational Mathematics course, involving students and teachers through the use of the statistical software R in carrying out practical work, such ...
Gariela Gonçalves+4 more
doaj
What is the Usefulness of Frequentist Confidence Intervals? [PDF]
The following questions are discussed: ``Why confidence intervals are a hot topic?''; ``Are confidence intervals objective?''; ``What is the usefulness of coverage?''; ``How to obtain useful information from experiment?''; ``The confidence level must be chosen independently from the knowledge of the data?''.
arxiv
On the confidence interval of the extreme value of a second sample from a normal universe [PDF]
Akio Kudô
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