2015South Asian Journal of Marketing & Management ResearchRequires access

Time varying estimation of simple linear regression model using elemental slopes

A. Madhu, M. B. Rajani, M. Venkataramana, M. Subbarayudu, K. Sreenivasulu, Diwakar Naidu

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Abstract

The aim of present research article is to propose a method of computing time varying estimates of simple linear regression model using elemental slopes in two alternative ways. Also a numerical example is considered for the application of proposed methodology and it is compared with usual OLS method through minimum mean square error.

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What this paper is about

The aim of present research article is to propose a method of computing time varying estimates of simple linear regression model using elemental slopes in two alternative ways. Also a numerical example is considered for the application of proposed methodology and it is compared with usual OLS method through minimum mean square error.

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Available abstract

The aim of present research article is to propose a method of computing time varying estimates of simple linear regression model using elemental slopes in two alternative ways. Also a numerical example is considered for the application of proposed methodology and it is compared with usual OLS method through minimum mean square error.

Key concepts: Simple (philosophy), Simple linear regression, Mathematics, Linear regression, Ordinary least squares, Applied mathematics, Regression analysis, Regression

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