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Informationen zum Autor Timothy C. Haas, Lubar School of Business Administration, University of Wisconsin at Milwaukee. Timothy Haas is involved in teaching undergraduate and graduate courses in statistical methods, pursuing decision making and environmental statistics re?search, and collaborating with faculty on application of statistics to Marketing and Eco?nomics. Klappentext Explores computer-intensive probability and statistics for ecosystem management decision makingSimulation is an accessible way to explain probability and stochastic model behavior to beginners. This book introduces probability and statistics to future and practicing ecosystem managers by providing a comprehensive treatment of these two areas. The author presents a self-contained introduction for individuals involved in monitoring, assessing, and managing ecosystems and features intuitive, simulation-based explanations of probabilistic and statistical concepts. Mathematical programming details are provided for estimating ecosystem model parameters with Minimum Distance, a robust and computer-intensive method.The majority of examples illustrate how probability and statistics can be applied to ecosystem management challenges. There are over 50 exercises - making this book suitable for a lecture course in a natural resource and/or wildlife management department, or as the main text in a program of self-study.Key features:* Reviews different approaches to wildlife and ecosystem management and inference.* Uses simulation as an accessible way to explain probability and stochastic model behavior to beginners.* Covers material from basic probability through to hierarchical Bayesian models and spatial/ spatio-temporal statistical inference.* Provides detailed instructions for using R, along with complete R programs to recreate the output of the many examples presented.* Provides an introduction to Geographic Information Systems (GIS) along with examples from Quantum GIS, a free GIS software package.* A companion website featuring all R code and data used throughout the book.* Solutions to all exercises are presented along with an online intelligent tutoring system that supports readers who are using the book for self-study. Zusammenfassung Explores computer-intensive probability and statistics for ecosystem management decision making Simulation is an accessible way to explain probability and stochastic model behavior to beginners. Inhaltsverzeichnis List of figures xiii List of tables xvii Preface xix Acknowledgments xxi List of abbreviations xxiii 1 Introduction 1 1.1 The textbook's purpose 1 1.1.1 The textbook's focus on ecosystem management 2 1.1.2 Reader level, prerequisites, and typical reader jobs 3 1.2 The textbook's pedagogical approach 4 1.2.1 General points 4 1.2.2 Use of this textbook for self-study 4 1.2.3 Learning resources 5 1.3 Chapter summaries 7 1.4 Installing and running R Commander 9 1.4.1 Running R 9 1.4.2 Starting an R Commander session 9 1.4.3 Terminating an R Commander session 10 1.5 Introductory R Commander session 10 1.6 Teaching probability through simulation 13 1.6.1 The frequentist statistical inference paradigm 14 1.7 Summary 15 2 Probability and simulation 17 2.1 Introduction 17 2.2 Basic probability 17 2.2.1 Definitions 17 2.2.2 Independence 20 2.3 Random variables 22 2.3.1 Definitions 22 2.3.2 Simulating random variables 26 2.3.3 A random variable's expected value (mean) and variance 26 2.3.4 Details of the normal (Gaussian) distribution 28 2.3.5 Distribution approximations 30 2.4 Joint distributions 31 2.4.1 Definition 31 2.4.2 Mixed variables 32 2.4.3 Marginal distributio...
