পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বহুপদী রিগ্রেশন× | রিগ্রেশন এবং স্মুথিং স্প্লাইন× | |
|---|---|---|
| ক্ষেত্র≠ | পরিসংখ্যান | যন্ত্র শিখন |
| পরিবার≠ | Regression model | Machine learning |
| উদ্ভবের বছর≠ | 2012 | 1996 |
| প্রবর্তক≠ | Montgomery, Peck & Vining (textbook treatment); classical least squares | Spline regression literature; P-splines by Eilers & Marx |
| ধরন≠ | Linear regression in transformed predictors | Piecewise-polynomial nonparametric regression |
| মৌলিক উৎস≠ | Montgomery, D. C., Peck, E. A. & Vining, G. G. (2012). Introduction to Linear Regression Analysis. Wiley. ISBN: 978-0470542811 | Eilers, P. H. C., & Marx, B. D. (1996). Flexible smoothing with B-splines and penalties. Statistical Science, 11(2), 89–121. DOI ↗ |
| অপর নাম≠ | polynomial least squares, curvilinear regression, Polinom Regresyonu | splines, cubic splines, natural splines, smoothing splines |
| সম্পর্কিত | 4 | 4 |
| সারসংক্ষেপ≠ | 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. | Regression splines model a nonlinear relationship by fitting piecewise polynomials that join smoothly at a set of points called knots. Cubic and natural splines are the most common, and smoothing splines add a roughness penalty that automatically balances fit against smoothness. Splines are the standard flexible building block for univariate nonlinear regression and the basis of generalized additive models. |
| ScholarGateডেটাসেট ↗ |
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