ferson scott (21 Ergebnisse)

Zustand: Good. Used book that is in clean, average condition without any missing pages. Softcover reprint of the original 1st ed. 2002.

Zustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Softcover reprint of the original 1st ed. 2002.

Paperback. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,700grams, ISBN:9780387943220.

Zustand: Good. Used book that is in clean, average condition without any missing pages.

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9780387954868.

Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:9780387954868.

gebunden. Zustand: sehr guter Zustand. 322 Seiten 670 gr.

Wraps. Zustand: Very good. No dust jacket. PResumed first edition/first printing. 101, [3] p. Constructor is software for the Microsoft Windows microcomputer environment that facilitates the collation of empirical information and expert judgment for the specification of probability distributions, probability boxes, random sets or Dempster-Shafer structures from data, qualitative shape information, constraints on moments, order statistics, densities, and coverage probabilities about uncertain unidimensional quantities. These quantities may be real-valued, interger-valued or logical values.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Wraps. Presumed first edition/first printing. 164 p. Figures. Glossary. References. The authors were associated with Applied Biomathematics of Setauket, New York. This report addresses the characterization of measurements that include epistemic uncertaintites in the form of intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than exclusively point estimates. It describes algorithms to compute various means, the median and other percentiles, variance, interquartile range, moments, confidence limites, and other important statisitics and summarizes the computability of these statistics as a function of sample size and characteristics of the intervals in the data. The report explores the tradeoff between measurement precision and sample size in statistical results that are sensitive to both. Very good. Cover has slight wear and soiling.

Zustand: New.

Zustand: Used. pp. 336 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Zustand: Used. pp. 336.

Paperback. Zustand: Brand New. 328 pages. 10.00x7.00x0.79 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware -Quantitative methods are needed in conservation biology more than ever as an increasing number of threatened species find their way onto international and national ¿red lists. ¿ Objective evaluation of population decline and extinction probability are required for sound decision making. Yet, as our colleague Selina Heppell points out, population viability analysis and other forms of formal risk assessment are underused in policy formation because of data uncertainty and a lack of standardized methodologies and unambiguous criteria (i. e. , ¿rules of thumb¿). Models used in conservation biology range from those that are purely heuristic to some that are highly predictive. Model selection should be dependent on the questions being asked and the data that are available. We need to develop a toolbox of quantitative methods that can help scientists and managers with a wide range of systems and that are subject to varying levels of data uncertainty and environmental variability. The methods outlined in the following chapters represent many of the tools needed to fill that toolbox. When used in conjunction with adaptive management, they should provide information for improved monitoring, risk assessment, and evaluation of management alternatives. The first two chapters describe the application of methods for detecting trends and extinctions from sighting data. Presence/absence data are used in general linear and additive models in Chapters 3 and 4 to predict the extinction proneness of birds and to build habitat models for plants.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch.

Zustand: New. 240 pp., sealed CD included; hardcover, NEW!! - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Photos available upon request.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Quantitative methods are needed in conservation biology more than ever as an increasing number of threatened species find their way onto international and national 'red lists. ' Objective evaluation of population decline and extinction probability are required for sound decision making. Yet, as our colleague Selina Heppell points out, population viability analysis and other forms of formal risk assessment are underused in policy formation because of data uncertainty and a lack of standardized methodologies and unambiguous criteria (i. e. , 'rules of thumb'). Models used in conservation biology range from those that are purely heuristic to some that are highly predictive. Model selection should be dependent on the questions being asked and the data that are available. We need to develop a toolbox of quantitative methods that can help scientists and managers with a wide range of systems and that are subject to varying levels of data uncertainty and environmental variability. The methods outlined in the following chapters represent many of the tools needed to fill that toolbox. When used in conjunction with adaptive management, they should provide information for improved monitoring, risk assessment, and evaluation of management alternatives. The first two chapters describe the application of methods for detecting trends and extinctions from sighting data. Presence/absence data are used in general linear and additive models in Chapters 3 and 4 to predict the extinction proneness of birds and to build habitat models for plants.

Wraps. Zustand: Good. Presumed First Edition, First printing. 153, [3] pages. Illustrations. Symbols. Glossary. References. Cover has some wear, soiling, and corner stain to cover and some pages. Scott Ferson is Chair of Uncertainty at the University of Liverpool, School of Engineering, in the Institute for Risk and Uncertainty. He was for many years previously senior scientist at Applied Biomathematics, a research firm on Long Island in New York. He holds a Ph.D. in ecology and evolution from Stony Brook University and an A.B. in biology from Wabash College. He has over 100 peer-reviewed papers and 5 books on risk analysis and related topics. For over twenty years, he has directed methodological research in risk and uncertainty analysis. His recent research work, funded primarily by NIH, NASA and Sandia National Laboratories, has focused on developing methods and software to solve quantitative assessment problems when data are poor or lacking and structural knowledge about the model is severely limited. He has served on many expert panels called by government agencies in the United States and elsewhere. This report summarized methods used to incorporate information about inter-variable dependence into risk assessments that use Dempster-Shafer theory or probability bounds analysis to address epistemic and aleatory uncertainty. The report reviews techniques for simulating correlated variates for a given correlation measure and dependence model, computation of bounds on distribution functions under a specified dependence model, formulation of parametric and empirical dependence models, and bounding approaches that can be used when information about the inter-variable dependence is incomplete. The report also reviews several o f the most pervasive and dangerous myths among risk analysts about dependence in probabilistic models.The Sandia National Laboratories (SNL), managed and operated by the National Technology and Engineering Solutions of Sandia (a wholly owned subsidiary of Honeywell International), is one of three National Nuclear Security Administration research and development laboratories. In December 2016, it was announced that National Technology and Engineering Solutions of Sandia, under the direction of Honeywell International, will take over the management of Sandia National Laboratories starting on May 1, 2017. Their primary mission is to develop, engineer, and test the non-nuclear components of nuclear weapons. The primary campus is located on Kirtland Air Force Base in Albuquerque, New Mexico and the other is in Livermore, California, next to Lawrence Livermore National Laboratory. It is Sandia's mission to maintain the reliability and surety of nuclear weapon systems, conduct research and development in arms control and nonproliferation technologies, and investigate methods for the disposal of the United States' nuclear weapons program's hazardous waste. Other missions include research and development in energy and environmental programs, as well as the surety of critical national infrastructures. In addition, Sandia is home to a wide variety of research including computational biology, mathematics (through its Computer Science Research Institute), materials science, alternative energy, psychology, MEMS, and cognitive science initiatives. Sandia formerly hosted ASCI Red, one of the world's fastest supercomputers until its recent decommission, and now hosts ASCI Red Storm, originally known as Thor's Hammer. Sandia is also home to the Z Machine. The Z Machine is the largest X-ray generator in the world and is designed to test materials in conditions of extreme temperature and pressure. It is operated by Sandia National Laboratories to gather data to aid in computer modeling of nuclear weapons.

Hardcover. Zustand: Brand New. 1st edition. 328 pages. 10.00x7.25x0.75 inches. In Stock.