Ecological Models and Data in R:
Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian...
Gespeichert in:
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton, NJ
Princeton University Press
[2008]
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| Schlagworte: | |
| Online-Zugang: | FAB01 FAW01 FCO01 FHA01 FKE01 FLA01 UPA01 Volltext |
| Zusammenfassung: | Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics. Practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language R Step-by-step instructions for fitting models to messy, real-world data Balanced view of different statistical approaches Wide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling) Techniques for data manipulation and graphical display Companion Web site with data and R code for all examples |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Nov 2019) |
| Beschreibung: | 1 online resource (408 pages) |
| ISBN: | 9781400840908 |
| DOI: | 10.1515/9781400840908 |
Internformat
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| 520 | |a Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics. Practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language R Step-by-step instructions for fitting models to messy, real-world data Balanced view of different statistical approaches Wide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling) Techniques for data manipulation and graphical display Companion Web site with data and R code for all examples | ||
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Datensatz im Suchindex
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| author | Bolker, Benjamin M. 1967- |
| author_GND | (DE-588)1147098662 |
| author_facet | Bolker, Benjamin M. 1967- |
| author_role | aut |
| author_sort | Bolker, Benjamin M. 1967- |
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| dewey-full | 577.01 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 577 - Ecology |
| dewey-raw | 577.01 |
| dewey-search | 577.01 |
| dewey-sort | 3577.01 |
| dewey-tens | 570 - Biology |
| discipline | Biologie Informatik Geographie |
| doi_str_mv | 10.1515/9781400840908 |
| format | Electronic eBook |
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| id | DE-604.BV046285792 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:40:35Z |
| institution | BVB |
| isbn | 9781400840908 |
| language | English |
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| spelling | Bolker, Benjamin M. 1967- (DE-588)1147098662 aut Ecological Models and Data in R Benjamin M. Bolker Princeton, NJ Princeton University Press [2008] © 2008 1 online resource (408 pages) txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Nov 2019) Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics. Practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language R Step-by-step instructions for fitting models to messy, real-world data Balanced view of different statistical approaches Wide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling) Techniques for data manipulation and graphical display Companion Web site with data and R code for all examples In English NATURE / Ecology bisacsh Ecology -- Mathematical models Ecology -- Simulation methods Ecology -- Statistical methods Ecology Mathematical models Ecology Simulation methods Ecology Statistical methods Ecology Natural history R (Computer program language) Science Ökologie (DE-588)4043207-5 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf Ökologie (DE-588)4043207-5 s Datenanalyse (DE-588)4123037-1 s R Programm (DE-588)4705956-4 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 978-0-691-12522-0 https://doi.org/10.1515/9781400840908 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Bolker, Benjamin M. 1967- Ecological Models and Data in R NATURE / Ecology bisacsh Ecology -- Mathematical models Ecology -- Simulation methods Ecology -- Statistical methods Ecology Mathematical models Ecology Simulation methods Ecology Statistical methods Ecology Natural history R (Computer program language) Science Ökologie (DE-588)4043207-5 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4043207-5 (DE-588)4123037-1 (DE-588)4705956-4 |
| title | Ecological Models and Data in R |
| title_auth | Ecological Models and Data in R |
| title_exact_search | Ecological Models and Data in R |
| title_full | Ecological Models and Data in R Benjamin M. Bolker |
| title_fullStr | Ecological Models and Data in R Benjamin M. Bolker |
| title_full_unstemmed | Ecological Models and Data in R Benjamin M. Bolker |
| title_short | Ecological Models and Data in R |
| title_sort | ecological models and data in r |
| topic | NATURE / Ecology bisacsh Ecology -- Mathematical models Ecology -- Simulation methods Ecology -- Statistical methods Ecology Mathematical models Ecology Simulation methods Ecology Statistical methods Ecology Natural history R (Computer program language) Science Ökologie (DE-588)4043207-5 gnd Datenanalyse (DE-588)4123037-1 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | NATURE / Ecology Ecology -- Mathematical models Ecology -- Simulation methods Ecology -- Statistical methods Ecology Mathematical models Ecology Simulation methods Ecology Statistical methods Ecology Natural history R (Computer program language) Science Ökologie Datenanalyse R Programm |
| url | https://doi.org/10.1515/9781400840908 |
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