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Outline of Statistical Errors and Power of the Tests

Application of Statistical Mirroring in ANOVA-Like Tests

Application of Statistical Mirroring in ANOVA-Like Tests

... and statistical power of all statistical tools is to present the reader about the level, amount and strength of variations within or between datasets in a clear and precise interpretation that allows ...

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The power of unit root tests under local-to-finite variance errors

The power of unit root tests under local-to-finite variance errors

... size-adjusted power of the tests, ...empirical power function over a range for c associated to small departures from the null ...the tests, whose power properties are investigated, ...

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Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses

Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses

... Illustrative example. Assume that we would like to assess whether the standardized regression coefficient β of a bivariate linear regression of Y on X is consistent with H 0 : β $ .40 or H 1 : β , .40. Assuming that β 5 ...

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Robust statistical tests of Dragon-Kings beyond power law distributions

Robust statistical tests of Dragon-Kings beyond power law distributions

... the statistical model generating the cross section of observations can be thought of as ...special statistical technique) from the sample for further ...novel statistical techniques, called ...

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On the Local Power of Fixed T Panel Unit Root Tests with Serially Correlated Errors

On the Local Power of Fixed T Panel Unit Root Tests with Serially Correlated Errors

... the power properties of …xed-T tests under serial ...local power functions of the WG and the IV test show that the two tests behave di¤erently but the IV test is superior to the WG test in ...

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On the Conditional and Unconditional Type I Error Rates and Power of Tests in Linear Models with Heteroscedastic Errors

On the Conditional and Unconditional Type I Error Rates and Power of Tests in Linear Models with Heteroscedastic Errors

... preliminary tests of ...also statistical power. Consistent with recommendations for tests on mean differences by Sawilowsky (2002) and Zimmerman (2004), our results suggest that preliminary ...

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Analysis of application errors of statistical inference

Analysis of application errors of statistical inference

... necessary at the professional level. This fact has been addressed in previous investigations with some controversy, since its logic involves a large number of concepts, which makes its use and interpretation sometimes ...

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Statistical Power Analysis of Neutrality Tests Under Demographic Expansions, Contractions and Bottlenecks With Recombination

Statistical Power Analysis of Neutrality Tests Under Demographic Expansions, Contractions and Bottlenecks With Recombination

... Several tests have been proposed to detect departures of nucleotide variability patterns from neutral ...these tests, thus making interpretation difficult when a significant departure of neutrality is ...

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Statistical Tests to Audit Investigative Stops

Statistical Tests to Audit Investigative Stops

... These tests should be amenable to cross-jurisdictional comparison where possible, meaning that collection standards should be reasonably uniform across cities, counties, and ...of errors in criminal justice ...

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Comparison of the Average Critical Point and the Power Function Methods of Adjudging Relative Efficiency of Statistical Tests

Comparison of the Average Critical Point and the Power Function Methods of Adjudging Relative Efficiency of Statistical Tests

... We also consider two test expressions, specific functions of the sample valuest for the purpose of making decisions and we wish to ascertain which of the two tests is the more efficient.[r] ...

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The Size and Power of Bootstrap Tests

The Size and Power of Bootstrap Tests

... bootstrap tests, as a function of n. The standard errors of these proportions, as estimates of test size, are about ...asymptotic tests are not shown, because the vertical scale would have had to be ...

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The Power of Bootstrap and Asymptotic Tests

The Power of Bootstrap and Asymptotic Tests

... hypothesis tests in ...the errors committed by using the bootstrap are generally of an order lower by a factor of either n −1/2 or n −1 , where n is the sample size, ...

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The InStat guide to choosing and interpreting statistical tests

The InStat guide to choosing and interpreting statistical tests

... Are the “errors” independent? The term “error” refers to the difference between each value and the group median. The results of a Mann-Whitney test only make sense when the scatter is random – that whatever factor ...

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Permutation – based statistical tests for multiple hypotheses

Permutation – based statistical tests for multiple hypotheses

... validation tests based on multiple testing corrections and re-sam- pling techniques ...estimating errors and rejecting null hypoth- ...multiple statistical tests to correct for the occurrence ...

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Statistical distribution models : goodness of fit tests

Statistical distribution models : goodness of fit tests

... greater power than all smooth tests of specified ...smooth tests are an excellent ...consistent tests, is given in Claeskens and Hjort ...

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Parallelizing Sequential Programs with Statistical Accuracy Tests

Parallelizing Sequential Programs with Statistical Accuracy Tests

... Unsound Program Transformations. We note that this paper presents techniques that are yet another instance of an emerging class of unsound program transfor- mations. In contrast to traditional sound transformations ...

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Errors of Estimating Near Surface Q A statistical Approach

Errors of Estimating Near Surface Q A statistical Approach

... the body wave’s velocity. Because the energy of leaky modes attenuate exponentially with distance, the spikes occurring at the spectral ratio can be reduced by increas- ing the source-receiver offset, but it is still a ...

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t-tests, non-parametric tests, and large studies—a paradox of statistical practice?

t-tests, non-parametric tests, and large studies—a paradox of statistical practice?

... non-parametric tests over t-tests have a paradoxical ...non-parametric tests as alternatives to t-tests for non-normally distributed data is most pronounced for small ...t- tests to ...

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An Outline of a Unifying Statistical Theory

An Outline of a Unifying Statistical Theory

... A new statistical theory is outlined which builds a bridge between frequentist and Bayesian approaches and very naturally uses upper and lower probabilities. It started with an attempt to investigate how far one ...

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Statistical tests of neutrality of mutations.

Statistical tests of neutrality of mutations.

... Expected time lengths of internal and external branches: Consider a random sample of n sequences of a DNA region from a diploid random mating population of effect[r] ...

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