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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Beste egile batzuk: Ferreira, Sandra (Argitaratzailea)
Formatua: Baliabide elektronikoa Liburu kapitulua
Hizkuntza:ingelesa
Argitaratua: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Gaiak:
n/a
Sarrera elektronikoa:DOAB: download the publication
DOAB: description of the publication
Etiketak: Etiketa erantsi
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Deskribapena
Gaia: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.
Deskribapen fisikoa:1 electronic resource (334 p.)
ISBN:books978-3-0365-7547-6
9783036575469
9783036575476
Sartu:Open Access