An overview: Modeling and forecasting of time series data using different techniques in reference to human stress
Forex is an important currency indicator. The index is a major factor in the development of the country. This look examines the effects of currency trading on the Random stroll version, Exponential Smoothing One, Double Exponential Smoothing and Holt-wintry weather models and the performance of the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-09-01
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| Series: | Neuroscience Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772528622000140 |
| _version_ | 1798038728884617216 |
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| author | Surindar Gopalrao Wawale Aadarsh Bisht Sonali Vyas Chutimon Narawish Samrat Ray |
| author_facet | Surindar Gopalrao Wawale Aadarsh Bisht Sonali Vyas Chutimon Narawish Samrat Ray |
| author_sort | Surindar Gopalrao Wawale |
| collection | DOAJ |
| description | Forex is an important currency indicator. The index is a major factor in the development of the country. This look examines the effects of currency trading on the Random stroll version, Exponential Smoothing One, Double Exponential Smoothing and Holt-wintry weather models and the performance of the fashion forecast were judged using the accuracy level of each symmetric loss factor and asymmetric used rectangular (MSE) errors, mean Total Deviations (MAD) and mean Total percentage errors (MAPE). From a precision rating, a double slider version of the interpreter can be used to anticipate and smooth out a series of currency exchange rates with three different versions. In an effort to test several models of the Akaike information Criterion (AIC) small currency, we have examined the Autoregressive version that incorporates conventional change (ARIMA) that can be used to anticipate the change in funding for the South Asian Local Cooperation (SAARC). This research allows for the discovery of different strategies and reduces the type of human intelligence which ultimately leads to good health. |
| first_indexed | 2024-04-11T21:44:14Z |
| format | Article |
| id | doaj.art-bbb58c1083944bca8e82b37d33046d09 |
| institution | Directory Open Access Journal |
| issn | 2772-5286 |
| language | English |
| last_indexed | 2024-04-11T21:44:14Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Neuroscience Informatics |
| spelling | doaj.art-bbb58c1083944bca8e82b37d33046d092022-12-22T04:01:28ZengElsevierNeuroscience Informatics2772-52862022-09-0123100052An overview: Modeling and forecasting of time series data using different techniques in reference to human stressSurindar Gopalrao Wawale0Aadarsh Bisht1Sonali Vyas2Chutimon Narawish3Samrat Ray4Agasti Arts, Commerce and Dadasaheb Rupwate Science College, Akole, IndiaChandigarh University, Mohali, Punjab, India; Corresponding author.University of Petroleum and Energy Studies, Dehradun, IndiaInternational College, Rangsit University, ThailandThe Institute of Industrial Management, Economics and Trade, Peter The Great Saint Petersburg Polytechnic University, RussiaForex is an important currency indicator. The index is a major factor in the development of the country. This look examines the effects of currency trading on the Random stroll version, Exponential Smoothing One, Double Exponential Smoothing and Holt-wintry weather models and the performance of the fashion forecast were judged using the accuracy level of each symmetric loss factor and asymmetric used rectangular (MSE) errors, mean Total Deviations (MAD) and mean Total percentage errors (MAPE). From a precision rating, a double slider version of the interpreter can be used to anticipate and smooth out a series of currency exchange rates with three different versions. In an effort to test several models of the Akaike information Criterion (AIC) small currency, we have examined the Autoregressive version that incorporates conventional change (ARIMA) that can be used to anticipate the change in funding for the South Asian Local Cooperation (SAARC). This research allows for the discovery of different strategies and reduces the type of human intelligence which ultimately leads to good health.http://www.sciencedirect.com/science/article/pii/S2772528622000140ForecastingSouth Asian Association for Regional Cooperation (SAARC)Akaike Information Criterion (AIC)Autoregressive Integrated Moving Average (ARIMA) |
| spellingShingle | Surindar Gopalrao Wawale Aadarsh Bisht Sonali Vyas Chutimon Narawish Samrat Ray An overview: Modeling and forecasting of time series data using different techniques in reference to human stress Neuroscience Informatics Forecasting South Asian Association for Regional Cooperation (SAARC) Akaike Information Criterion (AIC) Autoregressive Integrated Moving Average (ARIMA) |
| title | An overview: Modeling and forecasting of time series data using different techniques in reference to human stress |
| title_full | An overview: Modeling and forecasting of time series data using different techniques in reference to human stress |
| title_fullStr | An overview: Modeling and forecasting of time series data using different techniques in reference to human stress |
| title_full_unstemmed | An overview: Modeling and forecasting of time series data using different techniques in reference to human stress |
| title_short | An overview: Modeling and forecasting of time series data using different techniques in reference to human stress |
| title_sort | overview modeling and forecasting of time series data using different techniques in reference to human stress |
| topic | Forecasting South Asian Association for Regional Cooperation (SAARC) Akaike Information Criterion (AIC) Autoregressive Integrated Moving Average (ARIMA) |
| url | http://www.sciencedirect.com/science/article/pii/S2772528622000140 |
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