S-test - traduzione in russo
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S-test - traduzione in russo

NONPARAMETRIC STATISTICAL TEST
Kolmogorov Smirnoff Test; Kolmogorov Smirnov Test; Kolmogorov Smirnov test; Kolmogorov-Smirnov; K-S test; KS Test; KS test; Kolmogorov test; Kolmogorov-Smirnov statistic; Kolmorogov-Smirnov; Kolmogorov Smirnov; Kolmogorov distribution; Kolmogorov-Smirnov test; Kolmogorov–Smirnov; Kolmogorov–Smirnov theorem; Kolmogorov–Smirnov distribution; K-S Test; Kolmogorov-Smirnov theorem; Kolmogorov-Smirnov distribution; Kolmogorov–Smirnov statistic; Kolmogorov-Smirnov D test; Kolmogorov-Smirnoff test; K–S test; Smirnov statistic; Kolmogorov-Smirnov tests
  • Illustration of the two-sample Kolmogorov–Smirnov statistic. Red and blue lines each correspond to an empirical distribution function, and the black arrow is the two-sample KS statistic.
  •  empirical CDF]], and the black arrow is the KS statistic.
  • PDF]].

S-test      

строительное дело

дренированное испытание грунта на сдвиг (при трёхосном сжатии)

S-test      
дренированное испытание грунта на сдвиг (при трёхосном сжатии)
Kolmogorov-Smirnov test         
тест Колмогорова - Смирнова; позволяет выявить связь (значимую или случайную) между двумя частотными распределениями.

Definizione

МЕТИОНИН
CH3(S)CH2CH2CH(NH2)·COOH, алифатическая аминокислота. Входит в состав белков. Служит в организме донором метильных групп (-CH3) при биосинтезе холина, адреналина и других биологически важных веществ, а также источником серы при биосинтезе цистеина. Незаменимая аминокислота. Синтетический метионин применяют для обогащения кормов, пищи и как медицинский препарат.

Wikipedia

Kolmogorov–Smirnov test

In statistics, the Kolmogorov–Smirnov test (K–S test or KS test) is a nonparametric test of the equality of continuous (or discontinuous, see Section 2.2), one-dimensional probability distributions that can be used to compare a sample with a reference probability distribution (one-sample K–S test), or to compare two samples (two-sample K–S test). In essence, the test answers the question "How likely is it that we would see a collection of samples like this if they were drawn from that probability distribution?" or, in the second case, "How likely is it that we would see two sets of samples like this if they were drawn from the same (but unknown) probability distribution?". It is named after Andrey Kolmogorov and Nikolai Smirnov.

The Kolmogorov–Smirnov statistic quantifies a distance between the empirical distribution function of the sample and the cumulative distribution function of the reference distribution, or between the empirical distribution functions of two samples. The null distribution of this statistic is calculated under the null hypothesis that the sample is drawn from the reference distribution (in the one-sample case) or that the samples are drawn from the same distribution (in the two-sample case). In the one-sample case, the distribution considered under the null hypothesis may be continuous (see Section 2), purely discrete or mixed (see Section 2.2). In the two-sample case (see Section 3), the distribution considered under the null hypothesis is a continuous distribution but is otherwise unrestricted. However, the two sample test can also be performed under more general conditions that allow for discontinuity, heterogeneity and dependence across samples.

The two-sample K–S test is one of the most useful and general nonparametric methods for comparing two samples, as it is sensitive to differences in both location and shape of the empirical cumulative distribution functions of the two samples.

The Kolmogorov–Smirnov test can be modified to serve as a goodness of fit test. In the special case of testing for normality of the distribution, samples are standardized and compared with a standard normal distribution. This is equivalent to setting the mean and variance of the reference distribution equal to the sample estimates, and it is known that using these to define the specific reference distribution changes the null distribution of the test statistic (see Test with estimated parameters). Various studies have found that, even in this corrected form, the test is less powerful for testing normality than the Shapiro–Wilk test or Anderson–Darling test. However, these other tests have their own disadvantages. For instance the Shapiro–Wilk test is known not to work well in samples with many identical values.

Esempi dal corpus di testo per S-test
1. On Radio 4‘s Test Match Special, one of the talking heads suggested that if only Pakistan could be more organised they might rule the cricket world.
2. Overall, Channel 4‘s Test Cricket attracted an average of 4.7 million viewers and a 44% audience share between 1.15pm and 7pm.
3. Were seeing some progress, by the way, when it comes to hydrogen fuel cells.В They tell me that the cost of manufacturing hydrogen fuel cells has been cut in half, which is good.В Research is taking place.В There could be a new technology available so that when your children take their first drivers test -- or when some of your children take their first drivers test, they will do so in a hydrogen-powered automobile.
4. "Vettori stays on the bank...and keeps his rod down, so to speak." Seconds later, listeners of Radio 4‘s Test Match Special on Thursday could hear the veteran – known to the cricketing world as CMJ – struggling to keep his composure over the unfortunate wording.
Traduzione di &#39S-test&#39 in Russo