Ecological models and data in R
Bolker, Benjamin M.
1967-
creator
text
bibliography
nju
2008
First Edition
monographic
eng
vii, 396 pages : illustrations ; 26 cm.
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.
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.
Benjamin M. Bolker.
Includes bibliographical references (page 369-382) and indexes.
Ecology
Statistical methods
Ecología
Métodos estadísticos
Ecology
Mathematical models
Ecología
Modelos matemáticos
Ecology
Simulation methods
R (Computer program language)
QH541.15.S72 B65 2008
577.015118
9780691125220
2007060388
EC-UrYT
070817
20200823174036.0
14970828