Optimum exponential regression with one nonlinear term

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

A method is suggested for estimating regression parameters for a model E(Y = a + bX + ce-∂t, where observations on Y, X and t are given. This model has been extensively used in economics for relating optimum output of a production process with the available labor and services. This method is optimum in the sense it involves minimizing the error sum of squares for the linear regression of Y on X and e-∂t over the range ∂>0. The limits as ∂ → 0 and ∂ → ∞ are obtained and the computational procedure is discussed.

Original languageEnglish
Pages (from-to)51-58
Number of pages8
JournalApplied Mathematics and Computation
Volume50
Issue number1
DOIs
Publication statusPublished - Jul 1992
Externally publishedYes

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Regression
Sum of squares
Term
Linear regression
Personnel
Economics
Output
Model
Range of data
Observation

Cite this

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Optimum exponential regression with one nonlinear term. / Kumar, Kuldeep.

In: Applied Mathematics and Computation, Vol. 50, No. 1, 07.1992, p. 51-58.

Research output: Contribution to journalArticleResearchpeer-review

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