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313556

A NEW TECHNIQUE FOR ESTIMATING THE MISSED DATA

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Last updated: 28 Dec 2024

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Abstract

The problem of missing or lost data is of great importance. In this article we deal with this problem by a new method and technique. This method and technique are concerned with estimating the lost data, using a new procedure based on the conditional expectation. It is applied in four cases: Noisy Markov random fields, noisy autoregressive processes, estimation in hidden Markov chains and simple Gaussian mixture. In each case we derived new formulae concerning this case. The mean and the variance of the Gaussian white noise process (process filtering) are obtained. An illustrative example of two sequences of earthquakes in two neighbor towns during Tsunami catastrophes is given using simulation.  

DOI

10.21608/esju.2005.313556

Keywords

Missed or Lost Data, Gaussian Mixture, Hidden Markov Chains, White Gaussian Noise, Speech Processing, Segmentation or Restoration of Images, Gibbs Distribution

Volume

49

Article Issue

1

Related Issue

42993

Issue Date

2005-06-01

Publish Date

2005-06-01

Page Start

63

Page End

73

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_313556.html

Detail API

https://esju.journals.ekb.eg/service?article_code=313556

Order

5

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

https://esju.journals.ekb.eg/

MainTitle

A NEW TECHNIQUE FOR ESTIMATING THE MISSED DATA

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Type

Article

Created At

28 Dec 2024