Most Effective Sampling Scheme for Prediction of Stationary Stochastic Processes
The problem of finding optimal sampling schemes has been resolved in two models. The novelty of this study lies in its cost efficiency, specifically, for the applied problems with expensive sampling process. In discussed models, we show that some observations counteract other ones in prediction mech...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/4997675 |
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| _version_ | 1832549021273554944 |
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| author | Mohammad Mehdi Saber Zohreh Shishebor M. M. Abd El Raouf E.H. Hafez Ramy Aldallal |
| author_facet | Mohammad Mehdi Saber Zohreh Shishebor M. M. Abd El Raouf E.H. Hafez Ramy Aldallal |
| author_sort | Mohammad Mehdi Saber |
| collection | DOAJ |
| description | The problem of finding optimal sampling schemes has been resolved in two models. The novelty of this study lies in its cost efficiency, specifically, for the applied problems with expensive sampling process. In discussed models, we show that some observations counteract other ones in prediction mechanism. The autocovariance function of underlying process causes mentioned result. Our interesting result is that, although removing neutralizing observations convert sampling scheme to nonredundant case, it causes to worse prediction. A simulation study confirms this matter, too. |
| format | Article |
| id | doaj-art-3fa43d7ded834f1aa670f858ac8b961d |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-3fa43d7ded834f1aa670f858ac8b961d2025-02-03T06:12:24ZengWileyComplexity1099-05262022-01-01202210.1155/2022/4997675Most Effective Sampling Scheme for Prediction of Stationary Stochastic ProcessesMohammad Mehdi Saber0Zohreh Shishebor1M. M. Abd El Raouf2E.H. Hafez3Ramy Aldallal4Department of StatisticsDepartment of StatisticsBasic and Applied Science InstituteFaculty of science department of mathematicsCollege of Business Administration in Hotat bani TamimThe problem of finding optimal sampling schemes has been resolved in two models. The novelty of this study lies in its cost efficiency, specifically, for the applied problems with expensive sampling process. In discussed models, we show that some observations counteract other ones in prediction mechanism. The autocovariance function of underlying process causes mentioned result. Our interesting result is that, although removing neutralizing observations convert sampling scheme to nonredundant case, it causes to worse prediction. A simulation study confirms this matter, too.http://dx.doi.org/10.1155/2022/4997675 |
| spellingShingle | Mohammad Mehdi Saber Zohreh Shishebor M. M. Abd El Raouf E.H. Hafez Ramy Aldallal Most Effective Sampling Scheme for Prediction of Stationary Stochastic Processes Complexity |
| title | Most Effective Sampling Scheme for Prediction of Stationary Stochastic Processes |
| title_full | Most Effective Sampling Scheme for Prediction of Stationary Stochastic Processes |
| title_fullStr | Most Effective Sampling Scheme for Prediction of Stationary Stochastic Processes |
| title_full_unstemmed | Most Effective Sampling Scheme for Prediction of Stationary Stochastic Processes |
| title_short | Most Effective Sampling Scheme for Prediction of Stationary Stochastic Processes |
| title_sort | most effective sampling scheme for prediction of stationary stochastic processes |
| url | http://dx.doi.org/10.1155/2022/4997675 |
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