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Biostatistics with R An Introduction to Statistics Through Biological Data /
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, f...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2012.
|
| Edición: | 1st ed. 2012. |
| Colección: | Use R!,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-1-4614-1302-8 | ||
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| 008 | 111214s2012 xxu| s |||| 0|eng d | ||
| 020 | |a 9781461413028 |9 978-1-4614-1302-8 | ||
| 024 | 7 | |a 10.1007/978-1-4614-1302-8 |2 doi | |
| 050 | 4 | |a QH323.5 | |
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| 072 | 7 | |a PBT |2 thema | |
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| 100 | 1 | |a Shahbaba, Babak. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Biostatistics with R |h [electronic resource] : |b An Introduction to Statistics Through Biological Data / |c by Babak Shahbaba. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2012. | |
| 300 | |a XVI, 352 p. 162 illus., 73 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Use R!, |x 2197-5744 | |
| 505 | 0 | |a Introduction -- Data Exploration -- Exploring Relationships -- Probability -- Random Variables and Probability Distribtions -- Estimation -- Hypothesis Testing -- Testing a Hypothesis on the Relatinoship Between Two Variables -- Analysis of Variance -- Analysis of Categorial Variables -- Regression Analysis -- Clustering -- Bayesian Analysis. | |
| 520 | |a Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an elementary introduction to the basic of Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text. . | ||
| 650 | 0 | |a Biometry. | |
| 650 | 1 | 4 | |a Biostatistics. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781461413011 |
| 776 | 0 | 8 | |i Printed edition: |z 9781461413035 |
| 830 | 0 | |a Use R!, |x 2197-5744 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4614-1302-8 |z Texto Completo |
| 912 | |a ZDB-2-SMA | ||
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| 950 | |a Mathematics and Statistics (SpringerNature-11649) | ||
| 950 | |a Mathematics and Statistics (R0) (SpringerNature-43713) | ||