Name: Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in r and Bugs: Volume 2: Dynamic and Advanced Models (en Inglés)
Price: 136801.00 ARS
Availability: InStock
Author: Marc Kery; J. Andrew Royle
ISBN: 9780128237687

portada Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in r and Bugs: Volume 2: Dynamic and Advanced Models (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Marc Kery; J. Andrew Royle

Año

2020

Idioma

Inglés

N° páginas

820

Encuadernación

Tapa Dura

ISBN13

9780128237687

N° edición

Categorías

Ecología aplicada

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in r and Bugs: Volume 2: Dynamic and Advanced Models (en Inglés)

Marc Kery; J. Andrew Royle (Autor) · Academic Press · Tapa Dura

Libro Nuevo

$ 136.801

$ 228.001

Ahorras: $ 91.201

40% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Martes 28 de Mayo y el Jueves 06 de Junio.

Lo recibirás en cualquier lugar de Argentina entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in r and Bugs: Volume 2: Dynamic and Advanced Models (en Inglés)"

Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS, Volume Two: Dynamic and Advanced Models provides a synthesis of the state-of-the-art in hierarchical models for plant and animal distribution, also focusing on the complex and more advanced models currently available. The book explains all procedures in the context of hierarchical models that represent a unified approach to ecological research, thus taking the reader from design, through data collection, and into analyses using a very powerful way of synthesizing data.Makes ecological modeling accessible for people who are struggling to use complex or advanced modeling programsSynthesizes current ecological models and explains how they are inter-connectedContains examples throughout the book, walking the reading through scenarios with both real and simulated data Presents an ideal resource for ecologists working in R, an open source version of S known for its exceptional ecology analyses, and in BUGS for more flexible Bayesian analyses