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Applied statistics for environmental science with R /
Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical m...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, Netherlands ; Cambridge, MA :
Elsevier,
[2019]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 082 | 0 | 4 | |a 550.2855133 |2 23 |
| 100 | 1 | |a Alkarkhi, Abbas F. M., |e author. | |
| 245 | 1 | 0 | |a Applied statistics for environmental science with R / |c Abbas F.M. Alkarkhi, Wasin A.A. Alqaraghuli. |
| 264 | 1 | |a Amsterdam, Netherlands ; |a Cambridge, MA : |b Elsevier, |c [2019] | |
| 264 | 4 | |c �2020 | |
| 300 | |a 1 online resource (ix, 229 pages) : |b illustrations (black and white) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 336 | |a still image |b sti |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems. | ||
| 588 | |a Print version record. | ||
| 505 | 0 | |a Multivariate data -- R statistical software -- Statistical notions -- Measures of center and variation -- Statistical hypothesis testing -- Multivariate analysis of variance -- Regression analysis -- Principal components -- Factor analysis -- Discriminant analysis -- Clustering approaches. | |
| 650 | 0 | |a Environmental sciences |x Statistical methods. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 6 | |a Sciences de l'environnement |0 (CaQQLa)201-0097373 |x M�ethodes statistiques. |0 (CaQQLa)201-0373903 | |
| 650 | 6 | |a R (Langage de programmation) |0 (CaQQLa)201-0368319 | |
| 650 | 7 | |a Environmental sciences |x Statistical methods |2 fast |0 (OCoLC)fst00913513 | |
| 650 | 7 | |a R (Computer program language) |2 fast |0 (OCoLC)fst01086207 | |
| 700 | 1 | |a Alqaraghuli, Wasin A. A., |e author. | |
| 776 | 0 | 8 | |i Print version: |a Alkarkhi, Abbas F.M. |t Applied statistics for environmental science with R. |d Amsterdam : Elsevier, [2020] |z 9780128186220 |w (OCoLC)1090982590 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128186220 |z Texto completo |
| 856 | 4 | 1 | |u https://sciencedirect.uam.elogim.com/science/book/9780128186220 |z Texto completo |