| 000 | 02845naaaa2200445uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/41086 | ||
| 005 | 20220220040329.0 | ||
| 020 | _abooks978-3-03928-177-0 | ||
| 020 | _a9783039281770 | ||
| 020 | _a9783039281763 | ||
| 024 | 7 |
_a10.3390/books978-3-03928-177-0 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aBolboac?, Sorana D. _4auth |
|
| 245 | 1 | 0 | _aApplied and Computational Statistics |
| 260 |
_bMDPI - Multidisciplinary Digital Publishing Institute _c2020 |
||
| 300 | _a1 electronic resource (104 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aResearch 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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/ |
||
| 546 | _aEnglish | ||
| 653 | _amolecular descriptors | ||
| 653 | _acompound symmetry | ||
| 653 | _aAnderson–Darling test (AD) | ||
| 653 | _asoftware testing | ||
| 653 | _aprobability | ||
| 653 | _acharacteristic polynomial (ChP) | ||
| 653 | _amutation testing | ||
| 653 | _aC20 fullerene | ||
| 653 | _afullerene congeners | ||
| 653 | _amachine learning | ||
| 653 | _amaximum likelihood estimation | ||
| 653 | _agompertz distribution | ||
| 653 | _amodified beta generator | ||
| 653 | _astructure–property relationships | ||
| 653 | _arepeated measurement designs | ||
| 653 | _aMonte Carlo simulation | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://www.mdpi.com/books/pdfview/book/1985 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/41086 _70 _zDOAB: description of the publication |
| 999 |
_c63987 _d63987 |
||