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Applied and Computational Statistics
Sorana D. Bolboacǎ
2020
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Research without statistics is like water in the sand; the latter is necessary to reap the benefits of the former. This collection of articles is designed to bring together different approaches to applied statistics. The studies presented in this book are a tiny piece of what applied statistics means and how statistical methods find their usefulness in different fields of research from theoretical frames to practical applications such as genetics, computational chemistry, and experimental design. This book presents several applications of the statistics: A new continuous distribution with five parameters—the modified beta Gompertz distribution; A method to calculate the p-value associated with the Anderson–Darling statistic; An approach of repeated measurement designs; A validated model to predict statement mutations score; A new family of structural descriptors, called the extending characteristic polynomial (EChP) family, used to express the link between the structure of a compound and its properties. This collection brings together authors from Europe and Asia with a specific contribution to the knowledge in regards to theoretical and applied statistics.
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Keywords
- Anderson–Darling test (AD)
- C20 fullerene
- characteristic polynomial (ChP)
- compound symmetry
- fullerene congeners
- gompertz distribution
- Machine learning
- maximum likelihood estimation
- modified beta generator
- molecular descriptors
- Monte Carlo simulation
- mutation testing
- Probability
- repeated measurement designs
- Software Testing
- structure–property relationships
Links
DOI: 10.3390/books978-3-03928-177-0Editions
