Applied and Computational Statistics

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 mean...

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Year of Publication:2020
Language:English
Physical Description:1 electronic resource (104 p.)
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spelling Bolboac?, Sorana D. auth
Applied and Computational Statistics
MDPI - Multidisciplinary Digital Publishing Institute 2020
1 electronic resource (104 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Open access Unrestricted online access star
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.
English
molecular descriptors
compound symmetry
Anderson–Darling test (AD)
software testing
probability
characteristic polynomial (ChP)
mutation testing
C20 fullerene
fullerene congeners
machine learning
maximum likelihood estimation
gompertz distribution
modified beta generator
structure–property relationships
repeated measurement designs
Monte Carlo simulation
3-03928-176-3
language English
format eBook
author Bolboac?, Sorana D.
spellingShingle Bolboac?, Sorana D.
Applied and Computational Statistics
author_facet Bolboac?, Sorana D.
author_variant s d b sd sdb
author_sort Bolboac?, Sorana D.
title Applied and Computational Statistics
title_full Applied and Computational Statistics
title_fullStr Applied and Computational Statistics
title_full_unstemmed Applied and Computational Statistics
title_auth Applied and Computational Statistics
title_new Applied and Computational Statistics
title_sort applied and computational statistics
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2020
physical 1 electronic resource (104 p.)
isbn 3-03928-177-1
3-03928-176-3
illustrated Not Illustrated
work_keys_str_mv AT bolboacsoranad appliedandcomputationalstatistics
status_str n
ids_txt_mv (CKB)4100000010163800
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is_hierarchy_title Applied and Computational Statistics
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