পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Kolmogorov-Smirnov Test× | দুই-নমুনা কোলমোগোরভ-স্মিরনভ পরীক্ষা× | |
|---|---|---|
| ক্ষেত্র | পরিসংখ্যান | পরিসংখ্যান |
| পরিবার≠ | Hypothesis test | Regression model |
| উদ্ভবের বছর≠ | 1933 | 1948 |
| প্রবর্তক≠ | Andrey Nikolaevich Kolmogorov; Nikolai Vasilyevich Smirnov | N. V. Smirnov |
| ধরন≠ | Nonparametric goodness-of-fit test | Nonparametric two-sample distribution test |
| মৌলিক উৎস≠ | Kolmogorov, A. N. (1933). Sulla determinazione empirica di una legge di distribuzione. Giornale dell'Istituto Italiano degli Attuari, 4, 83–91. link ↗ | Smirnov, N. V. (1948). Table for Estimating the Goodness of Fit of Empirical Distributions. Annals of Mathematical Statistics, 19(2), 279-281. DOI ↗ |
| অপর নাম≠ | KS test, K-S test, one-sample KS test, Kolmogorov-Smirnov Testi | KS two-sample test, two-sample KS test, İki Örneklem Kolmogorov-Smirnov Testi |
| সম্পর্কিত≠ | 2 | 3 |
| সারসংক্ষেপ≠ | The Kolmogorov-Smirnov (KS) test is a nonparametric goodness-of-fit test that assesses whether a sample comes from a specified theoretical distribution, such as the normal or exponential. First formalised by Andrey Kolmogorov in 1933 and further developed by Nikolai Smirnov in 1948, it compares the empirical cumulative distribution function of the observed data against a target theoretical CDF and quantifies their maximum absolute deviation. | The two-sample Kolmogorov-Smirnov test is a nonparametric procedure that asks whether two independent groups are drawn from the same continuous distribution. Building on Smirnov's 1948 tables, it compares the empirical cumulative distribution functions (CDFs) of the two samples and uses their maximum absolute distance as the test statistic. |
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