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Bayesian Data Analysis in Ecology Using Linear Models with R BUGS and STAN Including Comparisons to Frequentist Statistics

Bayesian Data Analysis in Ecology Using Linear Models with R  BUGS  and STAN  Including Comparisons to Frequentist Statistics
  • Author : Anonim
  • Publsiher : Anonim
  • Release : 25 June 2022
  • ISBN : 0987654321
  • Pages : 123 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKBayesian Data Analysis in Ecology Using Linear Models with R BUGS and STAN Including Comparisons to Frequentist Statistics

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Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan
  • Author : Franzi Korner-Nievergelt,Tobias Roth,Stefanie von Felten,Jérôme Guélat,Bettina Almasi,Pius Korner-Nievergelt
  • Publisher : Academic Press
  • Release : 04 April 2015
GET THIS BOOKBayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan

Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces

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Spatial Data Analysis in Ecology and Agriculture Using R, Second Edition

Spatial Data Analysis in Ecology and Agriculture Using R, Second Edition
  • Author : Richard E. Plant
  • Publisher : CRC Press
  • Release : 07 December 2018
GET THIS BOOKSpatial Data Analysis in Ecology and Agriculture Using R, Second Edition

Key features: Unique in its combination of serving as an introduction to spatial statistics and to modeling agricultural and ecological data using R Provides exercises in each chapter to facilitate the book's use as a course textbook or for self-study Adds new material on generalized additive models, point pattern analysis, and new methods of Bayesian analysis of spatial data. Includes a completely revised chapter on the analysis of spatiotemporal data featuring recently introduced software and methods Updates its coverage of

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Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS

Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS
  • Author : Marc Kery,J. Andrew Royle
  • Publisher : Academic Press
  • Release : 14 November 2015
GET THIS BOOKApplied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS

Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach

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Integrated Population Models

Integrated Population Models
  • Author : Michael Schaub,Marc Kery
  • Publisher : Academic Press
  • Release : 23 November 2021
GET THIS BOOKIntegrated Population Models

Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the

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Handbook of Mixture Analysis

Handbook of Mixture Analysis
  • Author : Sylvia Fruhwirth-Schnatter,Gilles Celeux,Christian P. Robert
  • Publisher : CRC Press
  • Release : 04 January 2019
GET THIS BOOKHandbook of Mixture Analysis

Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time. The Handbook of Mixture Analysis is a very

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Protection Strategy against Spruce Budworm

Protection Strategy against Spruce Budworm
  • Author : David A. MacLean
  • Publisher : MDPI
  • Release : 15 January 2020
GET THIS BOOKProtection Strategy against Spruce Budworm

Spruce budworm (Choristoneura fumiferana (Clem.)) outbreaks are a dominant natural disturbance in the forests of Canada and northeastern USA. Widespread, severe defoliation by this native insect results in large-scale mortality and growth reductions of spruce (Picea sp.) and balsam fir (Abies balsamea (L.) Mill.) forests, and largely determines future age–class structure and productivity. The last major spruce budworm outbreak defoliated over 58 million hectares in the 1970s–1980s, and caused 32–43 million m3/year of timber volume losses from 1978 to 1987, in

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Explorations in Empirical Translation Process Research

Explorations in Empirical Translation Process Research
  • Author : Michael Carl
  • Publisher : Springer Nature
  • Release : 27 July 2021
GET THIS BOOKExplorations in Empirical Translation Process Research

This book assembles fifteen original, interdisciplinary research chapters that explore methodological and conceptual considerations as well as user and usage studies to elucidate the relation between the translation product and translation/post-editing processes. It introduces numerous innovative empirical/data-driven measures as well as novel classification schemes and taxonomies to investigate and quantify the relation between translation quality and translation effort in from-scratch translation, machine translation post-editing and computer-assisted audiovisual translation. The volume addresses questions in the translation of cognates, neologisms,

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Prediction and Causality in Econometrics and Related Topics

Prediction and Causality in Econometrics and Related Topics
  • Author : Nguyen Ngoc Thach,Doan Thanh Ha,Nguyen Duc Trung,Vladik Kreinovich
  • Publisher : Springer Nature
  • Release : 26 July 2021
GET THIS BOOKPrediction and Causality in Econometrics and Related Topics

This book provides the ultimate goal of economic studies to predict how the economy develops—and what will happen if we implement different policies. To be able to do that, we need to have a good understanding of what causes what in economics. Prediction and causality in economics are the main topics of this book's chapters; they use both more traditional and more innovative techniques—including quantum ideas -- to make predictions about the world economy (international trade, exchange rates),

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Diversity, Freedom and Evolution

Diversity, Freedom and Evolution
  • Author : William Magnusson
  • Publisher : Cambridge Scholars Publishing
  • Release : 22 March 2019
GET THIS BOOKDiversity, Freedom and Evolution

Science is responsible for most of the miracles that define modern life. This leads to the disconcerting situation where need and belief are in conflict. There is an enormous literature about science and evolution in particular, but all previous authors have missed the point that evolution gives us basic tenets that are not situation- or culture-dependent. This book shows that the potential for evolution is based on the tenets of diversity and freedom, which also underlie most of the ethical

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The Adaptive Value of Languages: Non-Linguistic Causes of Language Diversity

The Adaptive Value of Languages: Non-Linguistic Causes of Language Diversity
  • Author : Antonio Benítez-Burraco,Steven Moran
  • Publisher : Frontiers Media SA
  • Release : 08 November 2018
GET THIS BOOKThe Adaptive Value of Languages: Non-Linguistic Causes of Language Diversity

The goal of this eBook is to shed light on the non-linguistic causes of language diversity, and in particular, to explore the possibility that some aspects of the structure of languages may result from an adaptation to the natural and/or human-made environment. Traditionally, language diversity has been claimed to result from random, internally-motivated changes in language structure. However, ongoing research suggests instead that different factors that are external to language can promote language change and ultimately account for aspects

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Statistical Rethinking

Statistical Rethinking
  • Author : Richard McElreath
  • Publisher : CRC Press
  • Release : 03 January 2018
GET THIS BOOKStatistical Rethinking

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on

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