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...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton, NJ
Princeton University Press
[2008]
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| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| 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: | 1 online resource (516 Seiten) |
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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| 650 | 4 | |a Natural history | |
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Datensatz im Suchindex
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| author | Bolker, Ben |
| author_facet | Bolker, Ben |
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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 Mathematik Umwelt |
| format | Electronic eBook |
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| spelling | Bolker, Ben aut Ecological Models and Data in R Ben Bolker Princeton, NJ Princeton University Press [2008] © 2008 1 online resource (516 Seiten) txt rdacontent c rdamedia cr rdacarrier 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 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 R Programm (DE-588)4705956-4 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Simulation (DE-588)4055072-2 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Ökologie (DE-588)4043207-5 s Statistik (DE-588)4056995-0 s R Programm (DE-588)4705956-4 s Mathematisches Modell (DE-588)4114528-8 s Simulation (DE-588)4055072-2 s b DE-604 https://ms.mcmaster.ca/~bolker/emdbook/book.pdf Verlag kostenfrei Volltext |
| spellingShingle | Bolker, Ben 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 R Programm (DE-588)4705956-4 gnd Mathematisches Modell (DE-588)4114528-8 gnd Simulation (DE-588)4055072-2 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4043207-5 (DE-588)4705956-4 (DE-588)4114528-8 (DE-588)4055072-2 (DE-588)4056995-0 |
| 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 Ben Bolker |
| title_fullStr | Ecological Models and Data in R Ben Bolker |
| title_full_unstemmed | Ecological Models and Data in R Ben 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 R Programm (DE-588)4705956-4 gnd Mathematisches Modell (DE-588)4114528-8 gnd Simulation (DE-588)4055072-2 gnd Statistik (DE-588)4056995-0 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 R Programm Mathematisches Modell Simulation Statistik |
| url | https://ms.mcmaster.ca/~bolker/emdbook/book.pdf |
| work_keys_str_mv | AT bolkerben ecologicalmodelsanddatainr |