পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বর্ণনামূলক পরিসংখ্যান× | Kolmogorov-Smirnov Test× | |
|---|---|---|
| ক্ষেত্র | পরিসংখ্যান | পরিসংখ্যান |
| পরিবার | Hypothesis test | Hypothesis test |
| উদ্ভবের বছর≠ | 1977 | 1933 |
| প্রবর্তক≠ | John W. Tukey | Andrey Nikolaevich Kolmogorov; Nikolai Vasilyevich Smirnov |
| ধরন≠ | Summary procedure | Nonparametric goodness-of-fit test |
| মৌলিক উৎস≠ | Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165 | Kolmogorov, A. N. (1933). Sulla determinazione empirica di una legge di distribuzione. Giornale dell'Istituto Italiano degli Attuari, 4, 83–91. link ↗ |
| অপর নাম≠ | summary statistics, exploratory data summary, Betimsel İstatistik | KS test, K-S test, one-sample KS test, Kolmogorov-Smirnov Testi |
| সম্পর্কিত≠ | 6 | 2 |
| সারসংক্ষেপ≠ | Descriptive statistics is a set of procedures that numerically and visually summarises the essential characteristics of a dataset: central tendency (mean, median, mode), spread (standard deviation, interquartile range), shape (skewness, kurtosis), and frequency distributions. Systematised for applied data analysis by John W. Tukey in his 1977 work on Exploratory Data Analysis, descriptive statistics serves as the indispensable first step before any inferential or modelling procedure. | 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. |
| ScholarGateডেটাসেট ↗ |
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