Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Occupancy Estimation and Modeling is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy-related parameters while allowing for imperfect detectability, and make recommendations for designing studies using these models.
* Provides authoritative insights into the latest in estimation modeling
* Discusses multiple models which lay the groundwork for future study designs
* Addresses critical issues of imperfect detectibility and its effects on estimation
* Explores the role of probability in estimating in detail

Joint fact-finding is a cooperative venture and communication among the participants is critical to success. Analysts have begun to recognize this and have started to adjust their craft to reflect the communicative character of their work. Non-analysts usually judge experts' opinions by their value, effectiveness, and legitimacy rather than soundness of the conclusions. Accordingly, experts must recognize the importance of these non-scientific criteria, and learn to communicate better with their non-expert colleagues. Practically, this means explaining the rationale and implications behind their findings in an easily digestible way. Andrews uses real cases to illustrate his argument that analysts should marry process to analysis, spread information, reason inductively, broaden their analytic scope, put analytic results into lay terms, and constantly seek out feedback on their work.

Technical specialists who perform analysis in public settings can turn to Andrews's book for ideas about how to do their jobs more effectively. Scholars interested in the connection between expertise and the process of social learning will find his case study approach useful. Beginning with an analysis of the motivations and concepts at work in the process of joint fact finding, Andrews assesses the challenges analysts face from those who hire them and from their non-expert colleagues. He then illustrates his remarks with case studies of projects that have failed and succeeded. The book concludes by summing up the mistakes learned and elements that make for successful joint fact finding.

This issue of Immunology and Allergy Clinics, Guest Edited by Dr. J. Andrew Bird, is devoted to Food Allergy. Articles in this outstanding issue include: Prevention of Food Allergies; Epidemiology of Food Allergy; Oral Tolerance Development and Maintenance; Diagnosis of Food Allergy; Food Allergy Management; Interventional Therapies for the Treatment of Food Allergy; Baked Milk and Egg as Oral Immunotherapy; Adjuvant Therapies for Desensitization; Alternative Therapies for Treatment of Food Allergy; Food Protein-Induced Enterocolitis Syndrome (FPIES); Diagnosis and Management of Eosinophilic Esophagitis; and Unfounded Diagnostic Procedures.

Using data analytics and big data in marketing and strategic decision-making is a key priority at many organisations and subsequently a vital part of the skills set for a successful marketing professional operating today. Authored by world-leading authorities in the field, Marketing Analytics provides a thoroughly contemporary overview of marketing analytics and coverage of a wide range of cutting edge data analytics techniques. It offers a powerful framework, organising data analysis techniques around solving four underlying marketing problems: the 'First Principles of Marketing'. In this way, it offers an action-oriented, applied approach to managing marketing complexities and issues, and a sound grounding in making effective decisions based on strong evidence. It is supported by vivid international cases and examples, and applied pedagogical features. The companion website offers comprehensive classroom instruction slides, videos including walk throughs on all the examples and methods in the book, data sets, a test bank and a solution guide for instructors.

There is no question that Africa is endowed with abundant natural resources of different magnitudes. However, more than a decade of high commodity prices and new hydrocarbon discoveries across the continent has led countless international organizations, donor agencies, and non-governmental organizations to devote considerable attention to the potential of natural resource-based development. Natural Resource-Based Development in Africa places a particular emphasis on the actors that help us understand the extent to which resources could be transformed into broader developmental outcomes. Based on a wide variety of primary sources and fieldwork, including in-person interviews and participant observations, this collection contributes to both scholarly and policy discussions around the governance and economic development roles of local entrepreneurs, transnational firms, civil society groups, local communities, and government agencies in Africa's natural resource sectors. Natural Resource-Based Development in Africa explores the impact that these actors have on regional trends such as resource nationalism and local procurement policies as well as grassroots-related issues such as poverty, livelihoods, gender equity, development, and human security.

A collection of seventeen articles by colleagues and former students of Professor J. Maxwell Miller who taught at the Candler School of Theology, Emory University. The papers deal with the history, chronology, geography, archaeology and epigraphy of ancient Israel and its setting in the Levant, and range from broad methodological discussions of historiography to focused analyses of individual texts or historical issues. A review of Miller's career and a select bibliography of his publications are also included.>

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods.
This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems.
The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures.
The authors apply principles of hierarchical modeling to ecological problems, including
* occurrence or occupancy models for estimating species distribution
* abundance models based on many sampling protocols, including distance sampling
* capture-recapture models with individual effects
* spatial capture-recapture models based on camera trapping and related methods
* population and metapopulation dynamic models
* models of biodiversity, community structure and dynamics
* Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants)
* Development of classical, likelihood-based procedures for inference, as well as
Bayesian methods of analysis
* Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS
* Computing support in technical appendices in an online companion web site