পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Chi-square goodness-of-fit test× | লজিস্টিক রিগ্রেশন× | |
|---|---|---|
| ক্ষেত্র≠ | পরিসংখ্যান | গবেষণা পরিসংখ্যান |
| পরিবার≠ | Hypothesis test | Process / pipeline |
| উদ্ভবের বছর≠ | 1900 | 1958 |
| প্রবর্তক≠ | Karl Pearson | David Roxbee Cox |
| ধরন≠ | Nonparametric association / goodness-of-fit | Method |
| মৌলিক উৎস≠ | Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables. Philosophical Magazine, Series 5, 50(302), 157–175. link ↗ | Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242. DOI ↗ |
| অপর নাম≠ | chi-squared test, χ² test, Ki-Kare Testi, chi-square test | logit model, binomial logistic regression, LR |
| সম্পর্কিত | 3 | 3 |
| সারসংক্ষেপ≠ | The chi-square test of independence is a nonparametric hypothesis test that determines whether two categorical variables are statistically associated or independent of one another. Introduced by Karl Pearson in 1900, it remains the standard procedure for analysing contingency tables and requires no assumption of normality — only that observations are independent and that expected cell frequencies are sufficiently large. | Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science. |
| ScholarGateডেটাসেট ↗ |
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