
Introduction to Probability and Statistics for Ecosystem Managers PDF
Timothy C. HaasExplores computer-intensive probability and statistics for ecosystem management decision making
Simulation 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.
Introduction to Probability and Statistics for … Introduction to Probability and Statistics for Ecosystem Managers (ISBN 978-1-118-35768-2) bestellen. Schnelle Lieferung, auch auf Rechnung - lehmanns.de
Technik
PC und Mac
Lesen Sie das eBook direkt nach dem Herunterladen über "Jetzt lesen" im Browser, oder mit der kostenlosen Lesesoftware Adobe Digital Editions.
iOS & Android
Für Tablets und Smartphones: Unsere Gratis tolino Lese-App
Andere eBook Reader
Laden Sie das eBook direkt auf dem Reader im Hugendubel.de-Shop herunter oder übertragen Sie es mit der kostenlosen Software Sony READER FOR PC/Mac oder Adobe Digital Editions.
Reader
Öffnen Sie das eBook nach der automatischen Synchronisation auf dem Reader oder übertragen Sie es manuell auf Ihr tolino Gerät mit der kostenlosen Software Adobe Digital Editions.
Marketplace
Aktuelle Bewertungen

eBook Shop: Statistics in Practice: 1 Introduction to Probability and Statistics for Ecosystem Managers von Timothy C. Haas als Download. Jetzt eBook herunterladen … Introduction to Probability and Statistics for …

Compre Introduction to Probability and Statistics for Ecosystem Managers: Simulation and Resampling (Statistics in Practice) (English Edition) de Haas, Timothy C. na Amazon.com.br. Confira também os eBooks mais vendidos, lançamentos e livros digitais exclusivos.

subject them to a rigorous suite of data-based statistical assessments. ... Introduction to probability and statistics for ecosystem managers: Simula-. 1202 tion and ... FW 101 Fundamentals of Fisheries and Wildlife Ecology and Management. Semester ... FW 224 Introduction to Probability and Statistics for Ecologists. Semester ...

Note: If you're looking for a free download links of Introduction to Probability and Statistics for Ecosystem Managers: Simulation and Resampling (Statistics in Practice) Pdf, epub, docx and torrent then this site is not for you. Ebookphp.com only do ebook promotions online and we does not distribute any free download of ebook on this site.

Introduction to Probability and Statistics for … Introduction to Probability and Statistics for Ecosystem Managers Simulation and Resampling. Home; Introduction to Probability and Statistics for Ecosystem Managers