পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| স্বাধীন নমুনা টি-পরীক্ষা× | বহুমাত্রিক বহুচলক রৈখিক নির্ভরণ (Multivariate Multiple Linear Regression)× | |
|---|---|---|
| ক্ষেত্র | পরিসংখ্যান | পরিসংখ্যান |
| পরিবার≠ | Hypothesis test | Regression model |
| উদ্ভবের বছর≠ | 1908 | 2007 |
| প্রবর্তক≠ | Student (W. S. Gosset) | Johnson & Wichern (textbook treatment); classical multivariate least squares |
| ধরন≠ | Parametric mean comparison | Multivariate linear regression |
| মৌলিক উৎস≠ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ | Johnson, R. A. & Wichern, D. W. (2007). Applied Multivariate Statistical Analysis (6th ed.). Pearson. ISBN: 978-0131877153 |
| অপর নাম | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi | multivariate multiple regression, MLR with multiple dependent variables, multiple-outcome regression, Çok Değişkenli Regresyon (MLR — Çoklu DV) |
| সম্পর্কিত≠ | 4 | 5 |
| সারসংক্ষেপ≠ | The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances. | Multivariate regression is a linear regression method that predicts several continuous dependent variables at the same time from a shared set of predictors. As developed in standard treatments such as Johnson and Wichern's Applied Multivariate Statistical Analysis (2007), each response equation can be fitted by ordinary least squares while the covariance structure of the residuals is used for joint testing across outcomes. |
| ScholarGateডেটাসেট ↗ |
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