Advances in Statistical Methodologies and Their Application to Real Problems
In recent years, statistical techniques and methods for data analysis have advanced significantly in a wide range of research areas. These developments enable researchers to analyze increasingly large datasets with more flexibility and also more accurately estimate and evaluate the phenomena they st...
Zapisane w:
| Format: | Online |
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| Język: | angielski |
| Wydane: |
IntechOpen
2023
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20231201_9789535131021_824 |
| Etykiety: |
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| _version_ | 1869517138237063168 |
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| collection | Directory of Open Access Books |
| description | In recent years, statistical techniques and methods for data analysis have advanced significantly in a wide range of research areas. These developments enable researchers to analyze increasingly large datasets with more flexibility and also more accurately estimate and evaluate the phenomena they study. We recognize the value of recent advances in data analysis techniques in many different research fields. However, we also note that awareness of these different statistical and probabilistic approaches may vary, owing to differences in the datasets typical of different research fields. This book provides a cross-disciplinary forum for exploring the variety of new data analysis techniques emerging from different fields. |
| format | Online |
| id | doab-20.500.12854ir-129715 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1297152024-04-04T14:41:21Z Advances in Statistical Methodologies and Their Application to Real Problems Hokimoto, Tsukasa loss functions, evolution, reliability, anatomy, monte carlo simulation, probability thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling In recent years, statistical techniques and methods for data analysis have advanced significantly in a wide range of research areas. These developments enable researchers to analyze increasingly large datasets with more flexibility and also more accurately estimate and evaluate the phenomena they study. We recognize the value of recent advances in data analysis techniques in many different research fields. However, we also note that awareness of these different statistical and probabilistic approaches may vary, owing to differences in the datasets typical of different research fields. This book provides a cross-disciplinary forum for exploring the variety of new data analysis techniques emerging from different fields. 2023-12-01T16:02:17Z 2023-12-01T16:02:17Z 2017 book ONIX_20231201_9789535131021_824 9789535131021 9789535131014 9789535148661 https://directory.doabooks.org/handle/20.500.12854/129715 eng image/jpeg n/a https://www.intechopen.com/books/5446 https://mts.intechopen.com/storage/books/5446/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/62963 10.5772/62963 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535131021 9789535131014 9789535148661 IntechOpen 326 open access |
| spellingShingle | loss functions, evolution, reliability, anatomy, monte carlo simulation, probability thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling Advances in Statistical Methodologies and Their Application to Real Problems |
| title | Advances in Statistical Methodologies and Their Application to Real Problems |
| title_full | Advances in Statistical Methodologies and Their Application to Real Problems |
| title_fullStr | Advances in Statistical Methodologies and Their Application to Real Problems |
| title_full_unstemmed | Advances in Statistical Methodologies and Their Application to Real Problems |
| title_short | Advances in Statistical Methodologies and Their Application to Real Problems |
| title_sort | advances in statistical methodologies and their application to real problems |
| topic | loss functions, evolution, reliability, anatomy, monte carlo simulation, probability thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling |
| topic_facet | loss functions, evolution, reliability, anatomy, monte carlo simulation, probability thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling |
| url | ONIX_20231201_9789535131021_824 |