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These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges.
Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear mixed models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary.
This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.
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Nonlinear physics continues to be an area of dynamic modern research, with applications to physics, engineering, chemistry, mathematics, computer science, biology, medicine and economics. In this text extensive use is made of the Mathematica computer algebra system. No prior knowledge of Mathematica or programming is assumed. These files may be used to solve and explore the text's problems. This book includes 33 experimental activities that are designed to deepen and broaden the reader's understanding of nonlinear physics.
These activities are correlated with Part I, the theoretical framework of the text. The reader is guided through it all with sound advice and humor I hope that many will adopt the text.
Richard Enns and George McGuire have written an excellent text for introductory nonlinear physics. Another strength of the book is the diversity of approaches that the student is encouraged to take Basic ideas are explained clearly and illustrated with many examples. If you're a business analyst, this practical guide will show you how to design effective business process management BPM applications.
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