Download or read book Distribution Models Theory written by Rafael Herrerias-pleguezuelo and published by World Scientific. This book was released on 2006-08-30 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distribution Models Theory is a revised edition of papers specially selected by the Scientific Committee for the Fifth Workshop of Spanish Scientific Association of Applied Economy on Distribution Models Theory held in Granada (Spain) in September 2005. The contributions offer a must-have point of reference on models theory.This book has been selected for coverage in:• Index to Scientific & Technical Proceedings® (ISTP®/ISI Proceedings)• Index to Scientific & Technical Proceedings (ISTP CDROM version/ISI Proceedings)
Download or read book Distribution Models Theory written by Rafael Herrer¡as-Pleguezuelo and published by World Scientific. This book was released on 2006 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distribution Models Theory is a revised edition of papers specially selected by the Scientific Committee for the Fifth Workshop of Spanish Scientific Association of Applied Economy on Distribution Models Theory held in Granada (Spain) in September 2005. The contributions offer a must-have point of reference on models theory. This book has been selected for coverage in: . OCo Index to Scientific & Technical Proceedings- (ISTP-/ISI Proceedings). OCo Index to Scientific & Technical Proceedings (ISTP CDROM version/ISI Proceedings). Sample Chapter(s). Chapter 1: Modeling Income Distributions Using Elevated Distributions on a Bounded Domain (313 KB). Contents: Modeling Income Distributions Using Elevated Distributions on a Bounded Domain; Making Copulas Under Uncertainty; Valuation Method of the Two Survival Functions; Weighting Tools and Alternative Techniques to Generate Weighted Probability Models in Valuation Theory; On Generating and Characterizing Some Discrete and Continuous Distributions; Some Stochastic Properties in Sampling from the Normal Distribution; Generating Function and Polarization; A New Measure of Dissimilarity Between Distributions: Application to the Analysis of Income Distributions Convergence in the European Union; Using the Gamma Distribution to Fit Fecundity Curves for Application in Andalusia (Spain); Classes of Bivariate Distributions with Normal and Lognormal Conditionals: A Brief Revision; Inequality Measures, Lorenz Curves and Generating Functions; Extended Waring Bivariate Distribution; Applying a Bayesian Hierarchical Model in Actuarial Science: Inference and Ratemaking; Analysis of the Empirical Distribution of the Residuals Derived from Fitting the Heligman and Pollard Curve to Mortality Data; Measuring the Efficiency of the Spanish Banking Sector: Super-Efficiency and Profitability. Readership: Upper undergraduates, graduates, academics, and professionals in mathematics, economics, statistics, and engineering."
Download or read book Habitat Suitability and Distribution Models written by Antoine Guisan and published by Cambridge University Press. This book was released on 2017-09-14 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www.unil.ch/hsdm contains the codes and supporting material required to run the examples and teach courses.
Download or read book Joint Species Distribution Modelling written by Otso Ovaskainen and published by Cambridge University Press. This book was released on 2020-06-11 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive account of joint species distribution modelling, covering statistical analyses in light of modern community ecology theory.
Download or read book Mapping Species Distributions written by Janet Franklin and published by Cambridge University Press. This book was released on 2010-01-07 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maps of species' distributions or habitat suitability are required for many aspects of environmental research, resource management and conservation planning. These include biodiversity assessment, reserve design, habitat management and restoration, species and habitat conservation plans and predicting the effects of environmental change on species and ecosystems. The proliferation of methods and uncertainty regarding their effectiveness can be daunting to researchers, resource managers and conservation planners alike. Franklin summarises the methods used in species distribution modeling (also called niche modeling) and presents a framework for spatial prediction of species distributions based on the attributes (space, time, scale) of the data and questions being asked. The framework links theoretical ecological models of species distributions to spatial data on species and environment, and statistical models used for spatial prediction. Providing practical guidelines to students, researchers and practitioners in a broad range of environmental sciences including ecology, geography, conservation biology, and natural resources management.
Download or read book Mathematical Models of Distribution Channels written by Charles A. Ingene and published by Springer Science & Business Media. This book was released on 2006-01-27 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Models of Distribution Channels identifies eight "Channel Myths" that characterize almost all analytical research on distribution channels. The authors prove that models that incorporate one or more Channel Myths generate distorted conclusions; they also develop a methodology that will enable researchers to avoid falling under the influence of any Channel Myth.
Download or read book A Statistical Theory of Spatial Distribution Models written by A. G. Wilson and published by . This book was released on 1967 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Habitat Suitability and Distribution Models written by Antoine Guisan and published by Cambridge University Press. This book was released on 2017-09-14 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www.unil.ch/hsdm contains the codes and supporting material required to run the examples and teach courses.
Download or read book Elements of Distribution Theory written by Thomas A. Severini and published by Cambridge University Press. This book was released on 2005-08-08 with total page 3 pages. Available in PDF, EPUB and Kindle. Book excerpt: This detailed introduction to distribution theory uses no measure theory, making it suitable for students in statistics and econometrics as well as for researchers who use statistical methods. Good backgrounds in calculus and linear algebra are important and a course in elementary mathematical analysis is useful, but not required. An appendix gives a detailed summary of the mathematical definitions and results that are used in the book. Topics covered range from the basic distribution and density functions, expectation, conditioning, characteristic functions, cumulants, convergence in distribution and the central limit theorem to more advanced concepts such as exchangeability, models with a group structure, asymptotic approximations to integrals, orthogonal polynomials and saddlepoint approximations. The emphasis is on topics useful in understanding statistical methodology; thus, parametric statistical models and the distribution theory associated with the normal distribution are covered comprehensively.
Download or read book The Theory of Dispersion Models written by Bent Jorgensen and published by CRC Press. This book was released on 1997-06-01 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory of dispersion models straddles both statistics and probability, and involves an encyclopedic collection of tools, such as exponential families, asymptotic theory, stochastic processes, Tauber theory, infinite divisibility, and stable distributions. The Theory of Dispersion Models introduces the reader to these models, which serve as error distributions for generalized linear models, and looks at their applications within this context.
Download or read book Theory Methodology Tools and Applications for Modeling and Simulation of Complex Systems written by Lin Zhang and published by Springer. This book was released on 2016-09-21 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: This four-volume set (CCIS 643, 644, 645, 646) constitutes the refereed proceedings of the 16th Asia Simulation Conference and the First Autumn Simulation Multi-Conference, AsiaSim / SCS AutumnSim 2016, held in Beijing, China, in October 2016. The 265 revised full papers presented were carefully reviewed and selected from 651 submissions. The papers in this third volume of the set are organized in topical sections on Cloud technologies in simulation applications; fractional calculus with applications and simulations; modeling and simulation for energy, environment and climate; SBA virtual prototyping engineering technology; simulation and Big Data.
Download or read book Stability Problems for Stochastic Models Theory and Applications written by Alexander Zeifman and published by MDPI. This book was released on 2021-03-05 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this Special Issue of Mathematics is to commemorate the outstanding Russian mathematician Vladimir Zolotarev, whose 90th birthday will be celebrated on February 27th, 2021. The present Special Issue contains a collection of new papers by participants in sessions of the International Seminar on Stability Problems for Stochastic Models founded by Zolotarev. Along with research in probability distributions theory, limit theorems of probability theory, stochastic processes, mathematical statistics, and queuing theory, this collection contains papers dealing with applications of stochastic models in modeling of pension schemes, modeling of extreme precipitation, construction of statistical indicators of scientific publication importance, and other fields.
Download or read book Input Modeling with Phase Type Distributions and Markov Models written by Peter Buchholz and published by Springer. This book was released on 2014-05-20 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Containing a summary of several recent results on Markov-based input modeling in a coherent notation, this book introduces and compares algorithms for parameter fitting and gives an overview of available software tools in the area. Due to progress made in recent years with respect to new algorithms to generate PH distributions and Markovian arrival processes from measured data, the models outlined are useful alternatives to other distributions or stochastic processes used for input modeling. Graduate students and researchers in applied probability, operations research and computer science along with practitioners using simulation or analytical models for performance analysis and capacity planning will find the unified notation and up-to-date results presented useful. Input modeling is the key step in model based system analysis to adequately describe the load of a system using stochastic models. The goal of input modeling is to find a stochastic model to describe a sequence of measurements from a real system to model for example the inter-arrival times of packets in a computer network or failure times of components in a manufacturing plant. Typical application areas are performance and dependability analysis of computer systems, communication networks, logistics or manufacturing systems but also the analysis of biological or chemical reaction networks and similar problems. Often the measured values have a high variability and are correlated. It’s been known for a long time that Markov based models like phase type distributions or Markovian arrival processes are very general and allow one to capture even complex behaviors. However, the parameterization of these models results often in a complex and non-linear optimization problem. Only recently, several new results about the modeling capabilities of Markov based models and algorithms to fit the parameters of those models have been published.
Download or read book A Mathematical Theory of Arguments for Statistical Evidence written by Paul-Andre Monney and published by Springer Science & Business Media. This book was released on 2013-04-18 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of this book is the reasoning under uncertainty based on sta tistical evidence, where the word reasoning is taken to mean searching for arguments in favor or against particular hypotheses of interest. The kind of reasoning we are using is composed of two aspects. The first one is inspired from classical reasoning in formal logic, where deductions are made from a knowledge base of observed facts and formulas representing the domain spe cific knowledge. In this book, the facts are the statistical observations and the general knowledge is represented by an instance of a special kind of sta tistical models called functional models. The second aspect deals with the uncertainty under which the formal reasoning takes place. For this aspect, the theory of hints [27] is the appropriate tool. Basically, we assume that some uncertain perturbation takes a specific value and then logically eval uate the consequences of this assumption. The original uncertainty about the perturbation is then transferred to the consequences of the assumption. This kind of reasoning is called assumption-based reasoning. Before going into more details about the content of this book, it might be interesting to look briefly at the roots and origins of assumption-based reasoning in the statistical context. In 1930, R. A. Fisher [17] defined the notion of fiducial distribution as the result of a new form of argument, as opposed to the result of the older Bayesian argument.
Download or read book Uncertain Computation based Decision Theory written by Aliev Rafig Aziz and published by World Scientific. This book was released on 2017-12-06 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertain computation is a system of computation and reasoning in which the objects of computation are not values of variables but restrictions on values of variables. This compendium includes uncertain computation examples based on interval arithmetic, probabilistic arithmetic, fuzzy arithmetic, Z-number arithmetic, and arithmetic with geometric primitives. The principal problem with the existing decision theories is that they do not have capabilities to deal with such environment. Up to now, no books where decision theories based on all generalizations level of information are considered. Thus, this self-containing volume intends to overcome this gap between real-world settings' decisions and their formal analysis. Contents: Decision EnvironmentAnalysis of the Existing Decision TheoriesInterval ComputationProbabilistic ArithmeticFuzzy Type-1 and Fuzzy Type-2 ComputationsComputation with Z-NumbersComputation with U-NumbersFuzzy Geometry Based ComputationsInterval Granular-Based Decision MakingDecision Making in Fuzzy EnvironmentThe Z-Restriction Centered Decision TheorySimulation and Applications Readership: Researchers, academics, professionals and graduate students in fuzzy logic, decision sciences and mathematical economics. Keywords: Uncertain Computation;Decision Making;Interval Arithmetic;Fuzzy Arithmetic;Z-Number;Combined State;Fuzzy EconomicsReview:0
Download or read book Model Driven Engineering Languages and Systems written by Andy Schürr and published by Springer Science & Business Media. This book was released on 2009-09-15 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pioneering organizers of the ?rst UML workshop in Mulhouse, France inthe summerof1998couldhardlyhaveanticipatedthat,in littleoveradecade, theirinitiativewouldblossomintotoday’shighlysuccessfulMODELSconference series, the premier annual gathering of researchersand practitioners focusing on a very important new technical discipline: model-based software and system engineering. This expansion is, of course, a direct consequence of the growing signi?cance and success of model-based methods in practice. The conferences have contributed greatly to the heightened interest in the ?eld, attracting much young talent and leading to the gradualemergence of its correspondingscienti?c and engineering foundations. The proceedings from the MODELS conferences are one of the primary references for anyone interested in a more substantive study of the domain. The 12th conference took place in Denver in the USA, October 4–9, 2009 along with numerous satellite workshops and tutorials, as well as several other related scienti?c gatherings. The conference was exceptionally fortunate to have three eminent, invited keynote speakers from industry: Stephen Mellor, Larry Constantine, and Grady Booch.
Download or read book Proceedings of the Ninth International Symposium on Transportation and Traffic Theory written by Jacques Volmuller and published by VSP. This book was released on 1984-12 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Ninth International Symposium on Transportation and Traffic Theory, held in the Netherlands in July 1984, follows the tradition of broad international information exchange that was developed at the eight previous symposia. Over the years the scope of the symposia has gradually widened to become both more international and more comprehensive than that of the earlier meetings. The Ninth Symposium continues this trend by including papers on a wide range of theoretical issues by leading members of the international research community.
