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Linear Regression Model

Author

Listed:
  • Constantin Anghelache

    („Artifex” University of Bucharest, Bucharest University of Economic Studies)

  • Radu Titus Marinescu

    („Artifex” University of Bucharest)

  • Emanuela Ionescu

    („Artifex” University of Bucharest)

  • Ligia Prodan

    (Bucharest University of Economic Studies)

  • Alexandru Ursache

    (Bucharest University of Economic Studies)

Abstract

Sometimes, for estimating parameters using other techniques of estimation, which cannot be incremental transformations, linear estimation of parameters is made by numerical methods. Linear regression model is based on the series of data for the two features. This requires completion of the methods used for the estimation of the two parameters; specify the methods to be used for testing the properties of the estimators of regression model and setting the framework for the use of the regression model in making predictions.

Suggested Citation

  • Constantin Anghelache & Radu Titus Marinescu & Emanuela Ionescu & Ligia Prodan & Alexandru Ursache, 2015. "Linear Regression Model," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 63(4), pages 48-52, April.
    • Handle: RePEc:rsr:supplm:v:63:y:2015:i:4:p:48-52
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    Citations

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    Cited by:

    1. Adriana AnaMaria DAVIDESCU, 2015. "The Relationship between Shadow Economy and Unemployment Rate. A Ardl Causality Analysis for the Case Of Romania," Romanian Statistical Review, Romanian Statistical Review, vol. 63(4), pages 46-62, December.

    More about this item

    Keywords

    regression model;

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