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unfavorable sites for plant growth, and an R- Five traits that are coordinated across species are axis (Ruderal species) reflects adaptation to leaf mass per area (LMA), leaf life-span, leaf N disturbance.

This book signals a paradigm shift in oral communication. Unlike mainstream psycholinguists, the authors approach spoken discourse as a dynamic process rich with with structures, patterns, and rules other than conventional grammar and syntax.

This sourcebook of electrochemical, engineering and economic principles involved in the development and commercialization of fuel cells offers a thorough review of applications and techno-economic assessment of fuel cell technologies, plus in-depth discussion of conventional and novel approaches for generating energy.

This history of science analyzes how we came to be. It starts with life's origins and tracks the universe to present day, covering astronomy, physics, chemistry and biology and offering biographical details of science's greatest thinkers.

This text views perinatal knowledge through the lens of public health practice and covers a vast array of issues regarding maternal and infant health. Its format facilitates quick and easy reference for the student and practitioner alike.

New models and techniques are developed in this text to analyse economic dynamics in an uncertain environment.

It provides a lucid, coherent analysis into the nature of categorization, labeling and discursive practices within official discourse and procedures as well as the positional relationships between space, place and identities in relation to the experience of marginalized people including disabled pupils and young people.

The first edition of this book introduced a coherence theory of law that influenced the development of non-monotonic logics for the analysis of legal reasoning. This edition contains a new Introduction that fully explores that development.

Anyone who can interpret decision diagrams using the spectral approach can advance both the utility and understanding of classical DD techniques.

From the attempts of early astronomers to reconcile solar and lunar and terrestrial reckonings, to the huge expansions and contractions of time consciousness brought on by scientists as diverse as Newton, Darwin, and Einstein, this book shows how time is as much a matter of human choice as it is a matter of scientific precision.

Offers a historical study of Quantum Theory, and the human struggles that accompanied it from the beginning.

Shortly after the end of World War II high-speed digital computing machines were being developed. We discovered, for example, that even Gaus sian elimination was not well understood from a machine point of view and that no effective machine oriented elimination algorithm had been developed.

With its mathematically rigorous presentation, this book is a detailed treatment of the approach from an inverse problems point of view. It is geared towards graduate students and researchers in applied mathematics and can serve as a text for graduate courses.

This book focuses on tools and techniques for building valid regression models using real-world data. A key theme throughout the book is that it only makes sense to base inferences or conclusions on valid models.

Intended to supplement the engineer's box of analysis and design tools and make optimization as commonplace as the finite element method in the engineering workplace.

This is the first comprehensive textbook on sustainable energy. It includes study problems, illustrative examples, case studies, practical applications, and a solutions manual for faculty. This research-based textbook also includes some cutting-edge topics.

Bioinformation Discovery illustrates the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in bioinformation discovery. Concepts are illustrated using line diagrams.

In 1987, E.O. Wilson and B.F. Skinner had a conversation about sociobiology. This book uses that conversation as a springboard to a more integrated view of behaviorism and sociobiology. It includes introductory essays by Wilson and Skinner's daughter.

This book introduces a cutting-edge mathematical formalism based on the asymptotic limit theorems of information theory to describe how punctuated shifts in mesoscale ecosystems can entrain patterns of gene expression and organismal evolution.

Generalized anxiety disorder (GAD) is a chronic, disabling, often lifelong condition affecting millions worldwide. This book creates a practical knowledge base for GAD and thoroughly reviews the range of established and cutting-edge treatments.

This book provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material is organized according to a statistical taxonomy, although the presentation balances concepts and mathematics.

As a text that reflects the history of how these subjects interrelate, and illuminates the robust dialogue that still accompanies it, this book's elegant, accessible coverage ranges from early psychological critiques of religion to constructivist philosophies.

While there have been a large number of estimation methods proposed and developed for linear regression, none has proved good for all purposes. This text focuses on the construction of an adaptive combination of two estimation methods so as to help users make an objective choice and combine the desirable properties of two estimators.

Other features include a chapter introducing functional analysis, the Hahn-Banach theorem and duality, separation theorems, the Baire Category Theorem, the Open Mapping Theorem and their consequences, and unusual applications.

Intended as a rigorous first course, the book introduces and develops the various axioms slowly, and then, in a departure from other texts, continually illustrates the major definitions and axioms with two or three models, enabling the reader to picture the idea more clearly.

This book also represents an introduction to numerical functional analysis with applications to the Ritz method along with the method of finite elements, the Galerkin methods, and the difference method.

Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns, and stereology. This volume relates to marked point processes and to processes evolving in time, where the conditional intensity methodology provides a basis for model building, inference, and prediction.

This is a substantially updated, extended and reorganized third edition of an introductory text on the use of integral transforms. Emphasis is on the development of techniques and the connection between properties of transforms and the kind of problems for which they provide tools.

This book explores weak convergence theory and empirical processes and their applications to many applications in statistics. Part two offers the theory of empirical processes in a form accessible to statisticians and probabilists.

By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides illustrative numerical examples throughout.