## Abstract

Strong consistency of the least-squares estimates in stochastic regression models is established considering associated errors with finite variance and assuming a moderate asymptotic condition on the stochastic regressors. Strong consistency of the ridge estimates is also obtained for some biasing parameters in the referred

set of assumptions.

set of assumptions.

Original language | English |
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Title of host publication | Mathematical Methods in Science and Mechanics |

Editors | Nikos Mastorakis, Francesco Mainardi, Mariofanna Milanova |

Place of Publication | Lisbon |

Publisher | World Scientific and Engineering Academy and Society |

Pages | 58-64 |

Number of pages | 7 |

ISBN (Print) | 978-960-474-396-4 |

Publication status | Published - 1 Nov 2014 |

### Publication series

Name | Mathematics and Computers in Science and Engineering Series |
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Publisher | WSEAS Press |

Number | 33 |

ISSN (Print) | 2227-4588 |