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Handbook of Meta-analysis in Ecology and Evolution
Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used)....
Complex Stochastic Systems
Complex stochastic systems comprises a vast area of research, from modelling specific applications to model fitting, estimation procedures, and computing issues. The exponential growth in computing power over the last two decades has revolutionized statistical analysis and led to rapid developments and great progress in this emerging field. In Complex Stochastic Systems, leading researchers address various statistical aspects of the field, illustrated by some very concrete applications. A Primer on Markov Chain Monte Carlo by Peter J. Green provides a wide-ranging mixture of the mathematical and statistical ideas, enriched with concrete examples and more than 100 references. Causal Inference...
Social Virtue Epistemology
This collection of 19 chapters, all appearing in print here for the first time and written by an international team of established and emerging scholars, explores the place of intellectual virtues and vices in a social world. Relevant virtues include open-mindedness, curiosity, intellectual courage, diligence in inquiry, and the like. Relevant vices include dogmatism, need for immediate certainty, and gullibility and the like. The chapters are divided into four key sections: Foundational Issues; Individual Virtues; Collective Virtues; and Methods and Measurements. And the chapters explore the most salient questions in this areas of research, including: How are individual intellectual virtues...
Markov Chains and Stochastic Stability
New up-to-date edition of this influential classic on Markov chains in general state spaces. Proofs are rigorous and concise, the range of applications is broad and knowledgeable, and key ideas are accessible to practitioners with limited mathematical background. New commentary by Sean Meyn, including updated references, reflects developments since 1996.
Bayesian Statistics and New Generations
This book presents a selection of peer-reviewed contributions to the fourth Bayesian Young Statisticians Meeting, BAYSM 2018, held at the University of Warwick on 2-3 July 2018. The meeting provided a valuable opportunity for young researchers, MSc students, PhD students, and postdocs interested in Bayesian statistics to connect with the broader Bayesian community. The proceedings offer cutting-edge papers on a wide range of topics in Bayesian statistics, identify important challenges and investigate promising methodological approaches, while also assessing current methods and stimulating applications. The book is intended for a broad audience of statisticians, and demonstrates how theoretical, methodological, and computational aspects are often combined in the Bayesian framework to successfully tackle complex problems.
Bayesian Thinking, Modeling and Computation
This volume describes how to develop Bayesian thinking, modelling and computation both from philosophical, methodological and application point of view. It further describes parametric and nonparametric Bayesian methods for modelling and how to use modern computational methods to summarize inferences using simulation. The book covers wide range of topics including objective and subjective Bayesian inferences with a variety of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data. The book concludes with a chapter on how to teach Bayesian thoughts to nonstatisticians. Critical thinking on causal effects Objective Bayesian philosophy Nonparametric Bayesian methodology Simulation based computing techniques Bioinformatics and Biostatistics
Expert Knowledge and Its Application in Landscape Ecology
Typically, landscape ecologists use empirical observations to conduct research and devise solutions for applied problems in conservation and management. In some instances, they rely on advice and input of experienced professionals in both developing and applying knowledge. Given the wealth of expert knowledge and the risks of its informal and implicit applications in landscape ecology, it is necessary to formally recognize and characterize expert knowledge and bring rigor to methods for its applications. In this context, the broad goal of this book is to introduce the concept of expert knowledge and examine its role in landscape ecological applications. We plan to do so in three steps: First...
The Biology and Conservation of Animal Populations
A foundational text on animal population conservation featuring practical applications and case studies. The study of animal populations is integral to wildlife ecology and conservation. Analyzing population biology data can help facilitate the recovery of threatened species, manage overabundant species, and ensure sustainable levels of harvest. But for many students, the complex math involved is a barrier to understanding the importance of the data's applications. The emphasis on solving mathematical problems in traditional population biology texts may also seem far removed from the heart of conservation work that students find most compelling. The Biology and Conservation of Animal Populat...
Bayesian Statistics 9
Bayesian statistics is a dynamic and fast-growing area of statistical research and the Valencia International Meetings provide the main forum for discussion. These resulting proceedings form an up-to-date collection of research.
UAV Sensors for Environmental Monitoring
This book is a printed edition of the Special Issue "UAV Sensors for Environmental Monitoring" that was published in Sensors
