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Applied and computational statistics / Sorana D. Bolboacă (2020)  

Public Titre : Applied and computational statistics Type de document : Monographie Auteurs : Sorana D. Bolboacă, Auteur Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 104 p. ISBN/ISSN/EAN : 978-3-03928-177-0 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques [Termes IGN] méthode de Monte-Carlo [Termes IGN] méthode du maximum de vraisemblance (estimation) [Termes IGN] probabilité Résumé : (Editeur) 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. Note de contenu : - The Modified Beta Gompertz Distribution: Theory and Applications - Computation of Probability Associated with Anderson–Darling Statistic - Optimal Repeated Measurements for Two Treatment Designs with Dependent Observations: The Case of Compound Symmetry - A Model for Predicting Statement Mutation Scores - Extending the Characteristic Polynomial for Characterization of C20 Fullerene Congeners Numéro de notice : 26298 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Monographie DOI : 10.3390/books978-3-03928-177-0 Date de publication en ligne : 30/01/2020 En ligne : https://doi.org/10.3390/books978-3-03928-177-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95014