### 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 language | English |
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Pages (from-to) | 51-58 |

Number of pages | 8 |

Journal | Applied Mathematics and Computation |

Volume | 50 |

Issue number | 1 |

DOIs | |

Publication status | Published - Jul 1992 |

Externally published | Yes |