Asymptotic And Analytic Methods In Stochastic Evolutionary Symptoms PDF Download
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Author | : Dmitri Koroliouk |
Publisher | : John Wiley & Sons |
Total Pages | : 276 |
Release | : 2023-08-29 |
Genre | : Mathematics |
ISBN | : 1786309114 |
Download Asymptotic and Analytic Methods in Stochastic Evolutionary Symptoms Book in PDF, ePub and Kindle
This book illustrates a number of asymptotic and analytic approaches applied for the study of random evolutionary systems, and considers typical problems for specific examples. In this case, constructive mathematical models of natural processes are used, which more realistically describe the trajectories of diffusion-type processes, rather than those of the Wiener process. We examine models where particles have some free distance between two consecutive collisions. At the same time, we investigate two cases: the Markov evolutionary system, where the time during which the particle moves towards some direction is distributed exponentially with intensity parameter λ; and the semi-Markov evolutionary system, with arbitrary distribution of the switching process. Thus, the models investigated here describe the motion of particles with a finite speed and the proposed random evolutionary process with characteristics of a natural physical process: free run and finite propagation speed. In the proposed models, the number of possible directions of evolution can be finite or infinite.
Author | : Yaroslav Chabanyuk |
Publisher | : John Wiley & Sons |
Total Pages | : 240 |
Release | : 2020-10-02 |
Genre | : Mathematics |
ISBN | : 111977974X |
Download Asymptotic Analyses for Complex Evolutionary Systems with Markov and Semi-Markov Switching Using Approximation Schemes Book in PDF, ePub and Kindle
Author | : Dmitri Koroliouk |
Publisher | : John Wiley & Sons |
Total Pages | : 345 |
Release | : 2021-08-02 |
Genre | : Mathematics |
ISBN | : 1119851246 |
Download Random Evolutionary Systems Book in PDF, ePub and Kindle
Within the field of modeling complex objects in natural sciences, which considers systems that consist of a large number of interacting parts, a good tool for analyzing and fitting models is the theory of random evolutionary systems, considering their asymptotic properties and large deviations. In Random Evolutionary Systems we consider these systems in terms of the operators that appear in the schemes of their diffusion and the Poisson approximation. Such an approach allows us to obtain a number of limit theorems and asymptotic expansions of processes that model complex stochastic systems, both those that are autonomous and those dependent on an external random environment. In this case, various possibilities of scaling processes and their time parameters are used to obtain different limit results.
Author | : Wolfgang Arendt |
Publisher | : John Wiley & Sons |
Total Pages | : 502 |
Release | : 2009-07-10 |
Genre | : Science |
ISBN | : 3527628037 |
Download Mathematical Analysis of Evolution, Information, and Complexity Book in PDF, ePub and Kindle
Mathematical Analysis of Evolution, Information, and Complexity deals with the analysis of evolution, information and complexity. The time evolution of systems or processes is a central question in science, this text covers a broad range of problems including diffusion processes, neuronal networks, quantum theory and cosmology. Bringing together a wide collection of research in mathematics, information theory, physics and other scientific and technical areas, this new title offers elementary and thus easily accessible introductions to the various fields of research addressed in the book.
Author | : |
Publisher | : |
Total Pages | : 742 |
Release | : 1981 |
Genre | : Industrial hygiene |
ISBN | : |
Download Safety Science Abstracts Journal Book in PDF, ePub and Kindle
Author | : Richard R. Nelson |
Publisher | : Harvard University Press |
Total Pages | : 456 |
Release | : 1985-10-15 |
Genre | : Business & Economics |
ISBN | : 9780674041431 |
Download An Evolutionary Theory of Economic Change Book in PDF, ePub and Kindle
This book contains the most sustained and serious attack on mainstream, neoclassical economics in more than forty years. Nelson and Winter focus their critique on the basic question of how firms and industries change overtime. They marshal significant objections to the fundamental neoclassical assumptions of profit maximization and market equilibrium, which they find ineffective in the analysis of technological innovation and the dynamics of competition among firms. To replace these assumptions, they borrow from biology the concept of natural selection to construct a precise and detailed evolutionary theory of business behavior. They grant that films are motivated by profit and engage in search for ways of improving profits, but they do not consider them to be profit maximizing. Likewise, they emphasize the tendency for the more profitable firms to drive the less profitable ones out of business, but they do not focus their analysis on hypothetical states of industry equilibrium. The results of their new paradigm and analytical framework are impressive. Not only have they been able to develop more coherent and powerful models of competitive firm dynamics under conditions of growth and technological change, but their approach is compatible with findings in psychology and other social sciences. Finally, their work has important implications for welfare economics and for government policy toward industry.
Author | : Douglas E. Faries |
Publisher | : SAS Press |
Total Pages | : 0 |
Release | : 2010 |
Genre | : Medical care |
ISBN | : 9781607642275 |
Download Analysis of Observational Health Care Data Using SAS Book in PDF, ePub and Kindle
This book guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, pharmaco-economic data, and many more applications. The text is sufficiently detailed to provide not only general guidance, but to help the researcher through all of the standard issues that arise in such analyses. Just enough theory is included to allow the reader to understand the pros and cons of alternative approaches and when to use each method. The numerous contributors to this book illustrate, via real-world numerical examples and SAS code, appropriate implementations of alternative methods. The end result is that researchers will learn how to present high-quality and transparent analyses that will lead to fair and objective decisions from observational data. This book is part of the SAS Press program.
Author | : Joshua D. Angrist |
Publisher | : Princeton University Press |
Total Pages | : 392 |
Release | : 2009-01-04 |
Genre | : Business & Economics |
ISBN | : 0691120358 |
Download Mostly Harmless Econometrics Book in PDF, ePub and Kindle
In addition to econometric essentials, this book covers important new extensions as well as how to get standard errors right. The authors explain why fancier econometric techniques are typically unnecessary and even dangerous.
Author | : |
Publisher | : |
Total Pages | : 2092 |
Release | : 1997 |
Genre | : Electrical engineering |
ISBN | : |
Download Electrical & Electronics Abstracts Book in PDF, ePub and Kindle
Author | : Brian Everitt |
Publisher | : Springer Science & Business Media |
Total Pages | : 284 |
Release | : 2011-04-23 |
Genre | : Mathematics |
ISBN | : 1441996508 |
Download An Introduction to Applied Multivariate Analysis with R Book in PDF, ePub and Kindle
The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.