Results 11 to 20 of about 2,201,246 (301)
A Brief Guide to Statistical Analysis and Presentation for the [PDF]
Statistical analysis of data is an integral part of research projects in all scientific disciplines including the plant pathology. Appropriate design, application and interpretation of statistical analysis are also, therefore, at the center of publishing
Junhyun Jeon
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This research was conducted at PT. Starindo Sakti Award for 31 days. This study aims to determine whether or not there is a significant relationship between overburden stripping production and loss time.
Vitri Rospitasari +2 more
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Mean, standard deviation and standard error of absolute and signed error (cm). [PDF]
Mean, standard deviation and standard error of absolute and signed error (cm).
Giorgio Colombo (65952) +4 more
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Bootstrap Resampling of Temporal Dominance of Sensations Curves to Compute Uncertainties
In the last decade, temporal dominance of sensations (TDS) methods have proven to be potent approaches in the field of food sciences. Accordingly, thus far, methods for analyzing TDS curves, which are the major outputs of TDS methods, have been developed.
Shogo Okamoto
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Variance Inflation Due to Censoring in Survival Probability Estimates
One of the most obvious features of time-to-event data is the occurrence of censoring. Rarely, if ever, studies are conducted until all participants experience the event of interest.
Szilard Nemes +2 more
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Mean error and standard deviation. [PDF]
Mean error and standard deviation.
Jianchen Yang (11127608) +6 more
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Estimation of confidence intervals for decompositions and other complex demographic estimators
Background: While the use of standard errors and confidence intervals is common in regression-based studies in the population sciences, it is far less common in studies using formal demographic measures and methods, including demographic decompositions.
Arun Hendi
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Standard deviations and standard errors [PDF]
The terms “standard error” and “standard deviation” are often confused.1 The contrast between these two terms reflects the important distinction between data description and inference, one that all researchers should appreciate. The standard deviation (often SD) is a measure of variability.
Altman, D, Bland, J
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In random-effects models, hierarchical linear models, or multilevel models, it is typically assumed that the variances within higher-level units are homoscedastic, meaning that they are equal across these units. However, this assumption is often violated
Steffen Zitzmann +2 more
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Computation of Standard Errors [PDF]
ObjectivesWe discuss the problem of computing the standard errors of functions involving estimated parameters and provide the relevant computer code for three different computational approaches using two popular computer packages.Study DesignWe show how to compute the standard errors of several functions of interest: the predicted value of the ...
Dowd, B., Greene, William, Norton, E.
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