In the present paper some properties of the arithmetic mean have been employed to determine the parameters of the least squares line, plane and hyper plane, without using partial derivatives and solving the equations of the normal system. It is in fact known that when the criterion of least squares is used to identify an interpolating function, the solution to the problem is obtained via the search for the minimum of a function; therefore the use of partial derivatives becomes inevitable. Instead, the method here suggested allows the interpolating model - which is common to many economic and social subjects - to be presented to university students including those without any knowledge of partial derivatives

Maffenini, W., Polisicchio, M. (2007). Using the properties of the arithmetic mean for least squares interpolation. STATISTICA & APPLICAZIONI, V(2), 223-236.

Using the properties of the arithmetic mean for least squares interpolation

MAFFENINI, WALTER;POLISICCHIO, MARCELLA
2007

Abstract

In the present paper some properties of the arithmetic mean have been employed to determine the parameters of the least squares line, plane and hyper plane, without using partial derivatives and solving the equations of the normal system. It is in fact known that when the criterion of least squares is used to identify an interpolating function, the solution to the problem is obtained via the search for the minimum of a function; therefore the use of partial derivatives becomes inevitable. Instead, the method here suggested allows the interpolating model - which is common to many economic and social subjects - to be presented to university students including those without any knowledge of partial derivatives
Articolo in rivista - Articolo scientifico
arithmetic mean properties, variance, covariance, least squares method, residuals
English
2007
V
2
223
236
none
Maffenini, W., Polisicchio, M. (2007). Using the properties of the arithmetic mean for least squares interpolation. STATISTICA & APPLICAZIONI, V(2), 223-236.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/1072
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
Social impact