Ecological Detective (eBook)

Confronting Models with Data (MPB-28)
eBook Download: PDF
2013 | 1. Auflage
336 Seiten
Princeton University Press (Verlag)
978-1-4008-4731-0 (ISBN)

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Ecological Detective -  Ray Hilborn,  Marc Mangel
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Ray Hilborn is Professor in the School of Fisheries, University of Washington and the coauthor, with Carl Walters, of Quantitative Fisheries Stock Assessment. Marc Mangel is Professor of Environmental Studies and a Fellow at College Eight at the University of California, Santa Cruz, and a Visiting Professor at the University of Glasgow. He is the author of Decision and Control in Uncertain Resource Systems and coauthor, with Colin Clark, of Dynamic Modeling in Behavioral Ecology.
The modern ecologist usually works in both the field and laboratory, uses statistics and computers, and often works with ecological concepts that are model-based, if not model-driven. How do we make the field and laboratory coherent? How do we link models and data? How do we use statistics to help experimentation? How do we integrate modeling and statistics? How do we confront multiple hypotheses with data and assign degrees of belief to different hypotheses? How do we deal with time series (in which data are linked from one measurement to the next) or put multiple sources of data into one inferential framework? These are the kinds of questions asked and answered by The Ecological Detective. Ray Hilborn and Marc Mangel investigate ecological data much as a detective would investigate a crime scene by trying different hypotheses until a coherent picture emerges. The book is not a set of pat statistical procedures but rather an approach. The Ecological Detective makes liberal use of computer programming for the generation of hypotheses, exploration of data, and the comparison of different models. The authors' attitude is one of exploration, both statistical and graphical. The background required is minimal, so that students with an undergraduate course in statistics and ecology can profitably add this work to their tool-kit for solving ecological problems.

Ray Hilborn is Professor in the School of Fisheries, University of Washington and the coauthor, with Carl Walters, of Quantitative Fisheries Stock Assessment. Marc Mangel is Professor of Environmental Studies and a Fellow at College Eight at the University of California, Santa Cruz, and a Visiting Professor at the University of Glasgow. He is the author of Decision and Control in Uncertain Resource Systems and coauthor, with Colin Clark, of Dynamic Modeling in Behavioral Ecology.

Erscheint lt. Verlag 15.2.2013
Reihe/Serie Monographs in Population Biology
Zusatzinfo 67 line illus. 27 tables
Verlagsort Princeton
Sprache englisch
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Mathematik / Informatik Mathematik Angewandte Mathematik
Naturwissenschaften Biologie Botanik
Naturwissenschaften Biologie Ökologie / Naturschutz
Naturwissenschaften Biologie Zoologie
Technik
Schlagworte Alternative hypothesis • Alternative model • A priori probability • Bayesian • Bayesian inference • Bayesian information criterion • Bayesian Statistics • Bayes' Theorem • Big O notation • Binomial Distribution • Bootstrapping (statistics) • Calculation • Catch per Unit Effort • central limit theorem • Chi-squared test • Complexity • Computation • Confidence interval • Confidence region • conjugate prior • Cumulative distribution function • curve fitting • data set • Debugging • degrees of freedom • Depensation • Derivative • detection • Ecology • Emergence • Equation • error • estimation • Estimation theory • expected value • Fecundity • Floor and ceiling functions • Free parameter • Generalized Linear Model • Golden section search • goodness of fit • Growth curve (statistics) • Information Theory • Inverse function • Inverse Probability • Leslie matrix • Likelihood Function • Likelihood-ratio test • logarithm • logistic function • logistic map • Logistic Regression • Log-normal Distribution • Lotka–Volterra equations • maximum likelihood estimation • Meta-analysis • Model Selection • Monte Carlo Method • Multinomial distribution • negative binomial distribution • Newton's method • nonlinear system • Normal distribution • Outlier • Overdispersion • Overexploitation • Parameter • Poisson distribution • Poisson Point Process • population dynamics • posterior probability • Prediction • Prior probability • Probability • Probability Distribution • Probability Theory • Proportionality (mathematics) • Pseudocode • p-value • random number generation • random search • Random Variable • Replication (statistics) • Resampling (statistics) • Residual sum of squares • result • Ronald Fisher • Sampling (Statistics) • scientific notation • Search Theory • Sign (mathematics) • Skewness • Special case • standard deviation • stochastic • Summation • sum of squares • Uncertainty • Variance • Weight function
ISBN-10 1-4008-4731-1 / 1400847311
ISBN-13 978-1-4008-4731-0 / 9781400847310
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