A Study of Some Contributions to Nonlinear Valuation in Regression Models
| Vol-4 | Issue-02 | February 2019 | Published Online: 20 February 2019 PDF ( 396 KB ) | ||
| Author(s) | ||
| Monika 1; Dr. Pardeep Goel 2 | ||
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1Research Scholar, Department of Mathematics, OPJS University, Churu, Rajasthan 2Supervisor, Professor, Department of Mathematics, OPJS University, Churu, Rajasthan |
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| Abstract | ||
Nonlinear regression analysis is a famous procedure in mathematical and sociologies just as in building. Regression analysis is a lot of information logical strategies that are utilized to help comprehend the interrelationships among factors in a specific situation. In this paper we discuss about the model and the estimators and the performance properties of the GMRR. The standard least squares estimator is unprejudiced while the ridge type estimators are one-sided. The performance of the estimator and regard to customary least squares estimator, the overall productivity of the estimator has additionally been assessed mathematically. |
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| Keywords | ||
| Nonlinear, Regression, Models, Estimators, Ridge regression estimator etc. | ||
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