Application of hankel matrices in polynomial regression

Kuldeep Kumar; Mohammed A Alsaleh

doi:10.1016/S0096-3003(95)00215-4

Application of hankel matrices in polynomial regression

Kuldeep Kumar^*
, Mohammed A Alsaleh

^*Corresponding author for this work

Centre for Data Analytics

Research output: Contribution to journal › Article › Research › peer-review

1 Citation (Scopus)

Abstract

Iohvidov [1] has proposed a very simple method for finding the inverse of the Hankel matrix. In this paper, we have used this technique in the context of polynomial regression. It was found that the application of this technique reduces a great deal of computation.

Original language	English
Pages (from-to)	205-211
Number of pages	7
Journal	Applied Mathematics and Computation
Volume	77
Issue number	2-3
DOIs	https://doi.org/10.1016/S0096-3003(95)00215-4
Publication status	Published - Jul 1996

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title = "Application of hankel matrices in polynomial regression",

abstract = "Iohvidov [1] has proposed a very simple method for finding the inverse of the Hankel matrix. In this paper, we have used this technique in the context of polynomial regression. It was found that the application of this technique reduces a great deal of computation.",

author = "Kuldeep Kumar and Alsaleh, \{Mohammed A\}",

year = "1996",

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AU - Kumar, Kuldeep

AU - Alsaleh, Mohammed A

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N2 - Iohvidov [1] has proposed a very simple method for finding the inverse of the Hankel matrix. In this paper, we have used this technique in the context of polynomial regression. It was found that the application of this technique reduces a great deal of computation.

AB - Iohvidov [1] has proposed a very simple method for finding the inverse of the Hankel matrix. In this paper, we have used this technique in the context of polynomial regression. It was found that the application of this technique reduces a great deal of computation.

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DO - 10.1016/S0096-3003(95)00215-4

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AN - SCOPUS:16344374577

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VL - 77

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JO - Applied Mathematics and Computation

JF - Applied Mathematics and Computation

IS - 2-3

ER -

Application of hankel matrices in polynomial regression

Abstract

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