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Author: Klaus von Gadow
Publisher: Springer Science & Business Media
ISBN: 9781402006593
Category : Medical
Languages : en
Pages : 376
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Book Description
The large-scale application of new silvicultural systems has become a political reality in many parts of the world. This involves a gradual tarnsformation of traditional silvicultural practice towards Continuous Cover Forestry (CCF), also know as near-natural forest management, favouring mixed uneven-aged stands, site-adapted tree species and selective harvesting. Today, CCF systems are encountered in many parts of the world, but forest managers often lack the technical support for generating and evaluating treatment options for complex forest structures. Specific CCF-related resource assessment, forecasting and sustainable harvest control techniques have been developed, but details about their use are not widely known. The emphasis in the book is on quantitative methods and modelling.
Author: Klaus von Gadow
Publisher: Springer Science & Business Media
ISBN: 9781402006593
Category : Medical
Languages : en
Pages : 376
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Book Description
The large-scale application of new silvicultural systems has become a political reality in many parts of the world. This involves a gradual tarnsformation of traditional silvicultural practice towards Continuous Cover Forestry (CCF), also know as near-natural forest management, favouring mixed uneven-aged stands, site-adapted tree species and selective harvesting. Today, CCF systems are encountered in many parts of the world, but forest managers often lack the technical support for generating and evaluating treatment options for complex forest structures. Specific CCF-related resource assessment, forecasting and sustainable harvest control techniques have been developed, but details about their use are not widely known. The emphasis in the book is on quantitative methods and modelling.
Author: Benjamin M. Bolker
Publisher: Princeton University Press
ISBN: 0691125228
Category : Computers
Languages : en
Pages : 408
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Book Description
Introduction and background; Exploratory data analysis and graphics; Deterministic functions for ecological modeling; Probability and stochastic distributions for ecological modeling; Stochatsic simulation and power analysis; Likelihood and all that; Optimization and all that; Likelihood examples; Standar statistics revisited; Modeling variance; Dynamic models.
Author: Volker Grimm
Publisher: Princeton University Press
ISBN: 1400850622
Category : Science
Languages : en
Pages : 445
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Book Description
Individual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the mechanisms through which population and ecosystem ecology arises from how individuals interact with each other and their environment. This book provides the first in-depth treatment of individual-based modeling and its use to develop theoretical understanding of how ecological systems work, an approach the authors call "individual-based ecology.? Grimm and Railsback start with a general primer on modeling: how to design models that are as simple as possible while still allowing specific problems to be solved, and how to move efficiently through a cycle of pattern-oriented model design, implementation, and analysis. Next, they address the problems of theory and conceptual framework for individual-based ecology: What is "theory"? That is, how do we develop reusable models of how system dynamics arise from characteristics of individuals? What conceptual framework do we use when the classical differential equation framework no longer applies? An extensive review illustrates the ecological problems that have been addressed with individual-based models. The authors then identify how the mechanics of building and using individual-based models differ from those of traditional science, and provide guidance on formulating, programming, and analyzing models. This book will be helpful to ecologists interested in modeling, and to other scientists interested in agent-based modeling.
Author: Sheldon M. Ross
Publisher: Academic Press
ISBN: 0123756871
Category : Mathematics
Languages : en
Pages : 801
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Book Description
Introduction to Probability Models, Tenth Edition, provides an introduction to elementary probability theory and stochastic processes. There are two approaches to the study of probability theory. One is heuristic and nonrigorous, and attempts to develop in students an intuitive feel for the subject that enables him or her to think probabilistically. The other approach attempts a rigorous development of probability by using the tools of measure theory. The first approach is employed in this text. The book begins by introducing basic concepts of probability theory, such as the random variable, conditional probability, and conditional expectation. This is followed by discussions of stochastic processes, including Markov chains and Poison processes. The remaining chapters cover queuing, reliability theory, Brownian motion, and simulation. Many examples are worked out throughout the text, along with exercises to be solved by students. This book will be particularly useful to those interested in learning how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. Ideally, this text would be used in a one-year course in probability models, or a one-semester course in introductory probability theory or a course in elementary stochastic processes. New to this Edition: - 65% new chapter material including coverage of finite capacity queues, insurance risk models and Markov chains - Contains compulsory material for new Exam 3 of the Society of Actuaries containing several sections in the new exams - Updated data, and a list of commonly used notations and equations, a robust ancillary package, including a ISM, SSM, and test bank - Includes SPSS PASW Modeler and SAS JMP software packages which are widely used in the field Hallmark features: - Superior writing style - Excellent exercises and examples covering the wide breadth of coverage of probability topics - Real-world applications in engineering, science, business and economics
Author: Harold E. Burkhart
Publisher: Springer Science & Business Media
ISBN: 9048131707
Category : Technology & Engineering
Languages : en
Pages : 463
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Book Description
Drawing upon a wealth of past research and results, this book provides a comprehensive summary of state-of-the-art methods for empirical modeling of forest trees and stands. It opens by describing methods for quantifying individual trees, progresses to a thorough coverage of whole-stand, size-class and individual-tree approaches for modeling forest stand dynamics, growth and yield, moves on to methods for incorporating response to silvicultural treatments and wood quality characteristics in forest growth and yield models, and concludes with a discussion on evaluating and implementing growth and yield models. Ideal for use in graduate-level forestry courses, this book also provides ready access to a plethora of reference material for researchers working in growth and yield modeling.
Author: Andrew Gelman
Publisher: CRC Press
ISBN: 1439840954
Category : Mathematics
Languages : en
Pages : 677
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Book Description
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
Author: Richard Durrett
Publisher: Springer Science & Business Media
ISBN: 0387781692
Category : Mathematics
Languages : en
Pages : 442
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Book Description
"What underlying forces are responsible for the observed patterns of variability, given a collection of DNA sequences?" In approaching this question a number of probability models are introduced and anyalyzed.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies that illustrate the use of these results.
Author: Robert May
Publisher: Oxford University Press
ISBN: 0199209995
Category : Computers
Languages : en
Pages : 268
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Book Description
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Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 1444313630
Category : Science
Languages : en
Pages : 741
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Book Description
Plant ecology is the scientific study of the factors influencing the distribution and abundance of plants. This benchmark text, extremely well received in its first edition, shows how pattern and structure at different levels of plant organization--from ecophysiology through population dynamics to community structure and ecosystem function--are influenced by abiotic factors (eg, climate and soils) and by biotic factors (eg, competition and herbivory). Adopting a dynamic approach, this book combines descriptive text with theoretical models and experimental data. It will be invaluable reading for both student and practising ecologist alike. In this second edition, the structure of the book has been completely revised, moving from the small scale to the large scale, in keeping with contemporary teaching methods. This fresh approach allows consideration of several new and important topics such as plant secondary chemistry, herbivory, sex, and breeding systems. Additional chapters address topical applied issues in plant ecology including global warming, pollution and biodiversity. The latest edition of a very widely adopted textbook Written by a team of leading experts and edited by an international authority in the field
Author: Aaron R. Weiskittel
Publisher: John Wiley & Sons
ISBN: 1119971500
Category : Science
Languages : en
Pages : 431
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Book Description
Forest Growth and Yield Modeling synthesizes current scientific literature and provides insights in how models are constructed. Giving suggestions for future developments, and outlining keys for successful implementation of models the book provides a thorough and up-to-date, single source reference for students, researchers and practitioners requiring a current digest of research and methods in the field. The book describes current modelling approaches for predicting forest growth and yield and explores the components that comprise the various modelling approaches. It provides the reader with the tools for evaluating and calibrating growth and yield models and outlines the steps necessary for developing a forest growth and yield model. Single source reference providing an evaluation and synthesis of current scientific literature Detailed descriptions of example models Covers statistical techniques used in forest model construction Accessible, reader-friendly style
