Publication date
October 2012
DOIAbstract
<p>Difference in arithmetic and geometric means for normal distributions (n = 100,000,000). Each new calculation was made with a <i>de novo</i> normal distribution generated.</p
<p>Difference in arithmetic and geometric means for normal distributions (n = 100,000,000). Each new calculation was made with a <i>de novo</i> normal distribution generated.</p
<p>Simulated power for the tests and simultaneous confidence intervals when data are generated from ...
Because the assumption of normality is common in statistics, the robustness of statistical procedure...
It might sounds incredibly old fashion, but for my the exam for the ACT2121 probability course (to p...
<p>The upper figures show the results when the number of samples is equal to 1000 and the lower figu...
<p>The upper and lower figures show the results when the number of samples is equal to 1,000 and 3,0...
Simulation techniques must be able to generate the types of distributions most commonly encountered ...
Simulation techniques must be able to generate the types of distributions most commonly encountered ...
For simulation setting (3), shown are the RSSEs of the estimated joint probabilities to the true val...
Simulation techniques must be able to generate the types of distributions most commonly encountered ...
<p>The first to third columns denote the effect sizes of SNP1, SNP2 and interaction in pure samples ...
<p>The residuals were calculated by generalized linear models under the Normal distributional assump...
As the number of samples from a normal probability distribution with a user-defined mean and user-de...
<p>The normalized difference is measured using the following difference rate equation: .</p
<p>For each type of distribution, 100 values were randomly simulated. The degree-value curves are sh...
Some continuous quantitative traits such as yield are not always normally distributed. This article ...
<p>Simulated power for the tests and simultaneous confidence intervals when data are generated from ...
Because the assumption of normality is common in statistics, the robustness of statistical procedure...
It might sounds incredibly old fashion, but for my the exam for the ACT2121 probability course (to p...
<p>The upper figures show the results when the number of samples is equal to 1000 and the lower figu...
<p>The upper and lower figures show the results when the number of samples is equal to 1,000 and 3,0...
Simulation techniques must be able to generate the types of distributions most commonly encountered ...
Simulation techniques must be able to generate the types of distributions most commonly encountered ...
For simulation setting (3), shown are the RSSEs of the estimated joint probabilities to the true val...
Simulation techniques must be able to generate the types of distributions most commonly encountered ...
<p>The first to third columns denote the effect sizes of SNP1, SNP2 and interaction in pure samples ...
<p>The residuals were calculated by generalized linear models under the Normal distributional assump...
As the number of samples from a normal probability distribution with a user-defined mean and user-de...
<p>The normalized difference is measured using the following difference rate equation: .</p
<p>For each type of distribution, 100 values were randomly simulated. The degree-value curves are sh...
Some continuous quantitative traits such as yield are not always normally distributed. This article ...
<p>Simulated power for the tests and simultaneous confidence intervals when data are generated from ...
Because the assumption of normality is common in statistics, the robustness of statistical procedure...
It might sounds incredibly old fashion, but for my the exam for the ACT2121 probability course (to p...
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