﻿ "Kolmogorov-Smirnov Test" related terms, short phrases and links

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### DefinitionsUpDw('Definitions','-Abz-');

1. The Kolmogorov-Smirnov test is designed to test the hypothesis that a given data set could have been drawn from a given distribution.
2. The Kolmogorov-Smirnov test is more powerful, if it can be applied.
3. The Kolmogorov-Smirnov test is a nonparametric test and can therefore suffer from low power.
4. The Kolmogorov-Smirnov test is commonly used to test whether the population distribution follows a specified continuous distribution.
5. The Kolmogorov-Smirnov test is considered to be conservative, because the probability of a Type I error is less than the specified a -value.

### Ks-TestUpDw('KS-TEST','-Abz-');

1. Summary. The Kolmogorov-Smirnov test (KS-test) tries to determine if two datasets differ significantly.

### ChoiceUpDw('CHOICE','-Abz-');

1. Kolmogorov-Smirnov Test The main problem with test is the choice of number and size of the intervals.

### FunctionUpDw('FUNCTION','-Abz-');

1. Figure 6 shows the -log 10 (pValues) from the Kolmogorov-Smirnov test as a function of this average difference in spike-in concentration.

### TestsUpDw('TESTS','-Abz-');

1. From these results it is possible to see that the Kolmogorov-Smirnov test is less powerful than the other two tests.

### Hypothesis TestingUpDw('HYPOTHESIS_TESTING','-Abz-');

1. Channel models are also identified by hypothesis testing using Kolmogorov-Smirnov test.

### Test StatisticUpDw('TEST_STATISTIC','-Abz-');

1. Just as in the Kolmogorov-Smirnov test, this will be the test statistic.

### Chi-Square TestUpDw('CHI-SQUARE_TEST','-Abz-');

1. The Kolmogorov-Smirnov test and the chi-square test were introduced.

### GoodnessUpDw('GOODNESS','-Abz-');

1. Calitz F., An alternative to the Kolmogorov-Smirnov test for goodness of fit, Commun.

### Rank TestUpDw('RANK_TEST','-Abz-');

1. Examples include the Kolmogorov-Smirnov test and Wilcoxon signed rank test.

### DataUpDw('DATA','-Abz-');

1. Normal distribution of data, tested by using a normality test, such as Shapiro-Wilk and Kolmogorov-Smirnov test.

### Larger SamplesUpDw('LARGER_SAMPLES','-Abz-');

1. For larger samples, the Kolmogorov-Smirnov test is recommended by SAS and others.

### Sample SizeUpDw('SAMPLE_SIZE','-Abz-');

1. To apply the Kolmogorov-Smirnov test, calculate the cumulative frequency (normalized by the sample size) of the observations as a function of class.

### Critical ValuesUpDw('CRITICAL_VALUES','-Abz-');

1. The goodness-of-fit test or the Kolmogorov-Smirnov test is constructed by using the critical values of the Kolmogorov distribution.

### Exponential DistributionUpDw('EXPONENTIAL_DISTRIBUTION','-Abz-');

1. Lilliefors H., On the Kolmogorov-Smirnov test for the exponential distribution with mean unknown, JASA, 64, 387-389. 1969.

### Potential ValueUpDw('POTENTIAL_VALUE','-Abz-');

1. For each potential value x, the Kolmogorov-Smirnov test compares the proportion of X1 values less than x with proportion of X2 values less than x.

### DistributionUpDw('DISTRIBUTION','-Abz-');

1. Kolmogorov-Smirnov test of the distribution of one sample.
2. The Kolmogorov-Smirnov test, shown below, compares the cumulative distribution of the data to that of the fitted distribution.
3. The outcome of a Kolmogorov-Smirnov test is a probability, whose distribution is shown below for binned and unbinned data.

### NormalityUpDw('NORMALITY','-Abz-');

1. Lilliefors H., On the Kolmogorov-Smirnov test for normality with mean and variance unknown, JASA, 62, 399-402, 1967.

### Null HypothesisUpDw('NULL_HYPOTHESIS','-Abz-');

1. The null hypothesis for the Kolmogorov-Smirnov test is that the observed P values are identical to a uniform distribution.
2. Perform a Kolmogorov-Smirnov test of the null hypothesis that the sample x comes from the (continuous) distribution dist.
3. The null hypothesis for the Kolmogorov-Smirnov test is that X has a standard normal distribution.

### TestUpDw('TEST','-Abz-');

1. There are statistical methods to empirically test that assumption, for example the Kolmogorov-Smirnov test.
2. The Kolmogorov-Smirnov test can be modified to serve as a goodness of fit test.
3. In all cases, the Kolmogorov-Smirnov test was applied to test for a normal distribution.

### Goodness-Of-FitUpDw('GOODNESS-OF-FIT','-Abz-');

1. The Kolmogorov-Smirnov test for goodness-of-fit is based on this fact.

### Kolmogorov-Smirnov TestUpDw('KOLMOGOROV-SMIRNOV_TEST','-Abz-');

1. Choosing a particular normality test: The Kolmogorov-Smirnov test is generally less powerful than the tests specifically designed to test for normality.
2. The values obtained for the Kolmogorov-Smirnov test (study of normality of continuous variables) are shown in Table 3.
3. Note furthermore, that the Kolmogorov-Smirnov test is more sensitive at points near the median of the distribution than on its tails.

### CategoriesUpDw('Categories','-Abz-');

1. Goodness-Of-Fit Test
2. Nonparametric Test
3. Rank Test
4. Uniform Distribution
5. Test Whether
6. Books about "Kolmogorov-Smirnov Test" in Amazon.com
 Short phrases about "Kolmogorov-Smirnov Test"   Originally created: August 16, 2007.   Please send us comments and questions by this Online Form   Please click on to move good phrases up.
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