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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bolker, Benjamin M., 1967- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton : Princeton University Press, [2008]
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Bolker, Benjamin M.,  |d 1967-  |e author. 
245 1 0 |a Ecological models and data in R /  |c Benjamin M. Bolker. 
264 1 |a Princeton :  |b Princeton University Press,  |c [2008] 
300 |a 1 online resource (vii, 396 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references (pages 369-382) and indexes. 
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. 
505 0 |a Introduction and background -- Exploratory data analysis and graphics -- Deterministic functions for ecological modeling -- Probability and stochastic distributions for ecological modeling -- Stochastic simulation and power analysis -- Likelihood and all that -- Optimization and all that -- Likelihood examples -- Standard statistics revisited -- Modeling variance -- Dynamic models -- Afterword -- Appendix: Algebra and calculus basics. 
588 |a Description based on online resource; title from digital title page (viewed on April 02, 2020). 
546 |a English. 
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650 0 |a Ecology  |x Statistical methods. 
650 0 |a Ecology  |x Mathematical models. 
650 0 |a Ecology  |x Simulation methods. 
650 0 |a R (Computer program language) 
650 6 |a Écologie  |x Méthodes de simulation. 
650 6 |a R (Langage de programmation) 
650 7 |a ecology.  |2 agrovoc 
650 7 |a data analysis.  |2 agrovoc 
650 7 |a statistical methods.  |2 agrovoc 
650 7 |a mathematical models.  |2 agrovoc 
650 7 |a simulation.  |2 agrovoc 
650 7 |a computer software.  |2 agrovoc 
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650 7 |a SCIENCE  |x Life Sciences  |x Ecology.  |2 bisacsh 
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650 7 |a R (Computer program language)  |2 fast 
650 7 |a Datenanalyse  |2 gnd 
650 7 |a R  |g Programm  |2 gnd 
650 7 |a Ökologie  |2 gnd 
650 7 |a Ekologi  |x statistiska metoder.  |2 sao 
776 0 8 |i Print version:  |a Bolker, Benjamin M., 1967-  |t Ecological models and data in R.  |d Princeton, N.J. : Princeton University Press, ©2008  |z 9780691125220  |w (DLC) 2007060388  |w (OCoLC)166273862 
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