{"product_id":"introduction-to-probability-and-statistics-for-ecosystem-managers-simulation-and-resampling-9781118357682","title":"Introduction To Probability And Statistics For Ecosystem Managers: Simulation and Resampling","description":"\u003cp\u003e • Author(s): Timothy C. Haas\u003cbr\u003e • Publisher: Wiley\u003cbr\u003e • Publisher Imprint: Wiley\u003cbr\u003e • Subject: Earth-Science\/Environment\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eExplores computer-intensive probability and statistics for ecosystem management decision making\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSimulation 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.\u003c\/p\u003e \u003cp\u003eThe 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eKey features: \u003c\/i\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eReviews different approaches to wildlife and ecosystem management and inference.\u003c\/li\u003e \u003cli\u003eUses simulation as an accessible way to explain probability and stochastic model behavior to beginners.\u003c\/li\u003e \u003cli\u003eCovers material from basic probability through to hierarchical Bayesian models and spatial\/ spatio-temporal statistical inference.\u003c\/li\u003e \u003cli\u003eProvides detailed instructions for using R, along with complete R programs to recreate the output of the many examples presented.\u003c\/li\u003e \u003cli\u003eProvides an introduction to Geographic Information Systems (GIS) along with examples from Quantum GIS, a free GIS software package.\u003c\/li\u003e \u003cli\u003eA companion website featuring all R code and data used throughout the book.\u003c\/li\u003e \u003cli\u003eSolutions to all exercises are presented along with an online intelligent tutoring system that supports readers who are using the book for self-study.\u003c\/li\u003e \u003c\/ul\u003e","brand":"Wiley","offers":[{"title":"Hardcover","offer_id":45091487121559,"sku":"9781118357682","price":7156.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781118357682.webp?v=1769204523","url":"https:\/\/atlanticbooks.com\/products\/introduction-to-probability-and-statistics-for-ecosystem-managers-simulation-and-resampling-9781118357682","provider":"Atlantic Books","version":"1.0","type":"link"}