Computational Mathematics and Applied Statistics
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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Format: | Électronique Chapitre de livre |
Langue: | anglais |
Publié: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Accès en ligne: | DOAB: download the publication DOAB: description of the publication |
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Résumé: | 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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Description matérielle: | 1 electronic resource (334 p.) |
ISBN: | books978-3-0365-7547-6 9783036575469 9783036575476 |
Accès: | Open Access |