Computational Mathematics and Applied Statistics / / Sandra Ferreira.
Rapid advances in modelling research have created new challenges and opportunities for statisticians. Statistical inference in observational studies and many other emerging fields have motivated statisticians worldwide to develop cutting-edge methods and analytical strategies. The aim of this reprin...
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|---|---|
| Place / Publishing House: | Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2023. |
| Year of Publication: | 2023 |
| Language: | English |
| Physical Description: | 1 online resource (334 pages) |
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| 245 | 1 | 0 | |a Computational Mathematics and Applied Statistics / |c Sandra Ferreira. |
| 264 | 1 | |a Basel : |b MDPI - Multidisciplinary Digital Publishing Institute, |c 2023. | |
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| 588 | |a Description based on online resource; title from PDF title page (MDPI - Multidisciplinary Digital Publishing Institute, viewed July 29, 2023). | ||
| 520 | |a Rapid advances in modelling research have created new challenges and opportunities for statisticians. Statistical inference in observational studies and many other emerging fields have motivated statisticians worldwide to develop cutting-edge methods and analytical strategies. The aim of this reprint is to showcase the applications and methodological research in all fields of computational statistics. This reprint will provide a forum for computer scientists, mathematicians, and statisticians working in a variety of areas in statistics, including biometrics, econometrics, data analysis, graphics, and simulation. | ||
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