Normality test - Open Access .click

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1988
The Central Limit Theorem and other limit theorems of statistics provide the basis for the centrality of the normal distribution in statistical inference. These theorems tell us that, regardless of the underlying distribution of the data, as the sample size on which they are based gets very large the sampling distribution of statistics calculated from ...
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Lillieforsův test normality

2021
In this bachelor thesis will be shown one-sample Kolmogorov-Smirnov test, which compares empirical distribution function with one specified distribution function. At first we introduce marking and prove some basic properties about the test statistics and derive asymptotic critical values for the test. At the end of the first chapter we show consistency
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Testing Normality in Autoregressive Models

Biometrika, 1985
It is shown that any test of normality computed from autoregressive residuals has the same limiting null distribution as for the standard case of independent, identically distributed observations with estimated parameters. Some numerical results are given to indicate that this approximation is acceptable for sample size 20 in first- and second-order ...
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Tear Film Normalization Test