পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| রামসে রিজেট পরীক্ষা (Ramsey RESET Test) ফাংশনাল ফর্মের জন্য× | বহুপদী রিগ্রেশন× | |
|---|---|---|
| ক্ষেত্র≠ | অর্থমিতি | পরিসংখ্যান |
| পরিবার | Regression model | Regression model |
| উদ্ভবের বছর≠ | 1969 | 2012 |
| প্রবর্তক≠ | James B. Ramsey | Montgomery, Peck & Vining (textbook treatment); classical least squares |
| ধরন≠ | Test for functional-form misspecification | Linear regression in transformed predictors |
| মৌলিক উৎস≠ | Ramsey, J. B. (1969). Tests for specification errors in classical linear least-squares regression analysis. Journal of the Royal Statistical Society: Series B, 31(2), 350–371. DOI ↗ | Montgomery, D. C., Peck, E. A. & Vining, G. G. (2012). Introduction to Linear Regression Analysis. Wiley. ISBN: 978-0470542811 |
| অপর নাম | RESET test, regression specification error test, Ramsey RESET fonksiyonel form testi | polynomial least squares, curvilinear regression, Polinom Regresyonu |
| সম্পর্কিত | 4 | 4 |
| সারসংক্ষেপ≠ | The Ramsey RESET test, proposed by James Ramsey in 1969, is a general test for functional-form misspecification in a linear regression — for omitted nonlinear relationships between the response and the regressors. It adds powers of the fitted values to the model and checks whether they significantly improve the fit; if they do, the original linear specification has left systematic structure unexplained. | Polynomial regression is a regression method that models non-linear relationships by including squared and higher-degree terms of an explanatory variable, and it is a core tool of response surface analysis. As developed in Montgomery, Peck and Vining's Introduction to Linear Regression Analysis (2012), it remains linear in its parameters even though the fitted curve bends. |
| ScholarGateডেটাসেট ↗ |
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