Books about Quantification from Amazon.com

This digital document is a journal article from Forest Ecology and Management, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

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Forests canopies are dynamic, continuously varying, three-dimensional structures that display substantial heterogeneity in their spatial arrangement at many scales. At the stand-level, fine-scale spatial heterogeneity influences key canopy processes and contributes to the diversity of niche space and maintenance of forest biodiversity. We present a quantitative method that we developed based on a novel application of two well-established statistical techniques - lacunarity analysis and principal component analysis (PCA) - to determine the fine-scale (0.5-33m) spatial heterogeneity found in the outer surface of a forest canopy. This method was specifically designed for the analysis of continuous canopy height data generated by airborne LiDAR systems or digital photogrammetry; however, in this study we demonstrate our method using a large, well-documented dataset composed of simulated canopy surfaces only. We found that the magnitude of the lacunarity statistic was strongly associated with canopy cover (R^2=0.85) and gap volume (R^2=0.84), while the pattern of decline in lacunarity across discrete measurement scales was related to many size- and density-related attributes of stand and canopy structure (0.27@?R^2@?0.58) and their diverse vertical and horizontal spatial distributions. PCA uncovered two major gradients of spatial heterogeneity from the 10 dimensions of our original lacunarity dataset. The stronger of these two gradients reflected the continuous variation in canopy cover and gap volume, while a second, more subtle gradient was associated with the array of possible vertical and horizontal spatial configurations that might define any one measure of canopy cover. We expect that this quantitative method can be used to support a broad range of practical applications in sustainable forest management, long-term ecological monitoring, and forest science. Further research is required to understand how these statistical estimates and gradients of measured spatial heterogeneity relate to other ecologically relevant patterns of forest composition, structure, and function. .
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Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Methods for Detection and Quantification of Environmental Contamination was among those chosen.

This groundbreaking volume describes the statistical theory that underlies the detection and quantification of environmental pollution both in the laboratory and in the field. It presents the foundation of relating measured concentrations to true concentrations and the development of intervals of uncertainty for true concentrations, and it presents a comprehensive review of the problem of estimating thresholds at which detection and quantification decisions can be made reliably.

The authors demonstrate the use of analytical measurements in making environmental impact decisions and in comparing environmental data to regulatory standards and naturally occurring background concentrations. Taking the next step in a major evolution in the way environmental impact decisions are made, Statistical Methods for Detection and Quantification of Environmental Contamination:

• Presents statistical methods that allow the earliest possible detection and quantification of contaminants
• Describes procedures applicable to all environmental constituents
  
• Covers numerous state-of-the-art approaches
• Includes case studies demonstrating practical applications of these approaches

An indispensable handbook for scientists and engineers involved in environmental monitoring programs, this book is also an important resource for public health officials, waste facility managers, regulators, statisticians, and analytical chemists..
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This book presents comprehensive coverage of Environmental Stress Screening from basic concepts and the historical evolution of ESS, to the statistical and physical quantification of ESS. Covers the design-of-experiments approach to multiple-stress screening evaluation; ESS planning, tailoring, monitoring, control and evaluation; and ESS case histories..
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This book offers a practical answer for the non-mathematician to all the questions any businessman always wanted to ask about risk quantification, and never dare to ask.

Enterprise-wide risk management (ERM) is a key issue for board of directors worldwide. Its proper implementation ensures transparent governance with all stakeholders’ interests integrated into the strategic equation. Furthermore, Risk quantification is the cornerstone of effective risk management,at the strategic and tactical level, covering finance as well as ethics considerations. Both downside and upside risks (threats & opportunities) must be assessed to select the most efficient risk control measures and to set up efficient risk financing mechanisms. Only thus will an optimum return on capital and a reliable protection against bankruptcy be ensured, i.e. long term sustainable development.

Within the ERM framework, each individual operational entity is called upon to control its own risks, within the guidelines set up by the board of directors, whereas the risk financing strategy is developed and implemented at the corporate level to optimise the balance between threats and opportunities, systematic and non systematic risks.

This book is designed to equip each board member, each executives and each field manager, with the tool box enabling them to quantify the risks within his/her jurisdiction to all the extend possible and thus make sound, rational and justifiable decisions, while recognising the limits of the exercise. Beyond traditional probability analysis, used since the 18^th Century by the insurance community, it offers insight into new developments like Bayesian expert networks, Monte-Carlo simulation, etc. with practical illustrations on how to implement them within the three steps of risk management, diagnostic, treatment and audit.

With a foreword by Catherine Veret and an introduction by Kevin Knight..
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Lipid Signaling Protocols assembles in a single volume the various tools and methodologies needed by the interested investigator to unravel lipid dependent signaling and cell function. Divided into two convenient sections, the volume begins by summarizing the physical properties of hydrophobic metabolites as well as the physical methodologies used for their analysis, which leads to the second section and its selection of biological methods, focused around the most relevant lipids, their corresponding metabolizing enzymes and the recognition proteins. Following the highly successful Methods in Molecular Biology™ series format, the chapters provide readily reproducible laboratory protocols, lists of necessary materials and reagents, and the tips on troubleshooting and avoiding known pitfalls.

Contributed to by top researchers in the field, Lipid Signaling Protocols is an essential resource for both experienced and novice researchers who desire a better understanding of the application of physical methodologies in the context of lipid signaling and lipid metabolism in cell biology.

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This volume contains 17 selected papers reflecting the flavour of the Norwegian Petroleum Society conference on hydrocarbon seals quantification and showing the recent significant advances in the understanding and application of hydrocarbon seal methodologies.

Three broad categories are covered in this book: methodologies addressing cap-rock integrity, methodologies relating to fault seal and case studies both from the hydrocarbon basins of Northwestern Europe and in the form of outcrop examples. With the North Sea, Norwegian Sea and Atlantic Margin moving along their respective basin maturity and development curves, exploration is being forced deeper into high pressure/high temperature terrains, while exploitation and development requires greater precision and realism in reservoir simulations to maximise drilling strategies to prolong field life. In all instances the need for predictive tools and methodologies that address the integrity and behaviour of top and lateral (fault) seals to hydrocarbon traps, both in the static and dynamic state, have been identified as key risk factors and this is reflected in this volume..
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Here is the most complete guide available for the analysis of tannins. A battery of tannin methodologies is presented in a simple, clear and easy-to-understand manner. This unique guide covers chemical, biological and radio isotopic tannin assays. Comprehensive step-by-step protocols are presented for each method. The protocols enable non-specialists and specialists alike to implement the methods easily in the laboratory. It is an ideal laboratory manual for research scientists, graduate students, and laboratory personnel working in the fields of animal nutrition, soil nutrient management, wild life-plant interactions, and plant breeding..
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In an invigorating comparative and interdisciplinary reconsideration of the role of different types of medical 'counting', this wide-ranging bilingual volume takes us from the mortality tables of the eighteenth century to the movement for 'evidence-based medicine' in our own day. Culled from the proceedings of 'La quantification dans les sciences medicales et de la sante: perspective historique' held at the Musee Claude-Bernard in France in 2002, "Body Counts" moves beyond the usual emphasis on public health and clinical medicine to include the central role of numbers in laboratory work and medical instrumentation."Body Counts" provides an innovative, historical, and sociological account of the functions of quantification. Contributors include Luc Berlivet (INSERM, CNRS, Paris), Alberto Cambrosio (McGill University), Sir Iain Chalmers (James Lind Library, Oxford), Nicholas Dodier (INSERM, CNRS, Paris), Michael Donnelly (Bard College), Volker Hess (Humboldt-University), Peter Keating (University of Quebec at Montreal), Ann La Berge (Virginia Tech University), Ilana Lowy (INSERM, CNRS, Paris), Harry M.Marks (Johns Hopkins University), Lion Murard (INSERM, CNRS, Paris), Mark Parascandola (National Cancer Institute, Bethesda, Maryland), Theodore M. Porter (University of California at Los Angeles), Andrea Rusnock (University of Rhode Island), Christiane Sinding (INSERM, CNRS, Paris), and Ulrich Trohler (Institut fur Geschichte der Medizin der Albert-Ludwigs-Universitat)..
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