Applied and Computational Statistics

Edited by
January 2020
104 pages
  • ISBN978-3-03928-176-3 (Paperback)
  • ISBN978-3-03928-177-0 (PDF)

This book is a reprint of the Special Issue Applied and Computational Statistics that was published in

Computer Science & Mathematics
Physical Sciences
Public Health & Healthcare

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.

  • Paperback
© 2020 by the authors; CC BY licence
characteristic polynomial (ChP); molecular descriptors; fullerene congeners; C20 fullerene; structure–property relationships; Anderson–Darling test (AD); probability; Monte Carlo simulation; modified beta generator; gompertz distribution; maximum likelihood estimation; repeated measurement designs; compound symmetry; software testing; machine learning; mutation testing