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weitere empfehlenswerte Bücher von Aldous David
Discrete Probability and Algorithms
Discrete probability theory and the theory of algorithms have become close partners over the last ten years, though the roots of this partnership go back much longer. The papers in this volume address … mehr »
geschrieben von David Aldous (Herausgeber) und Persi Diaconis (Herausgeber) und Joel Spencer (Herausgeber) und J. Michael Steele (Herausgeber)
O Love That Will Not Let Me Go
On the face of it, David Aldous was a successful Christian. He had a good job with God TV, a beautiful wife, and four children. However this belied what was beneath the surface. A particular encounter … mehr »
geschrieben von David Aldous (Autor)
The articles in this volume present the state of the art in a variety of areas of discrete probability, including random walks on finite and infinite graphs, random trees, renewal sequences, Stein's … mehr »
geschrieben von David Aldous (Herausgeber) und Robin Pemantle (Herausgeber)
This book provides a systematic, formal treatment of a recently proposed extension of the expected utility model of choice under risk: the so-called rank-dependent utility model. In this approach the …
Dieter Flamm, ein Enkel Boltzmanns und heute selbst Professor für Theoretische Physikan der Universität Wien, hat in diesem Band die wichtigsten Arbeiten Boltzmannszusammengestellt und …
This book describes for the first time how Monte Carlo modeling methods can be applied to electron microscopy and microanalysis. Computer programs for two basic types of Monte Carlo simulation are …
Preface; 1. An Introducton to Monte Carlo Methods; 2. Constructing a Simulation; 3. The Single Scattering Model; 4. The Plural Scattering Model; 5. Practical Applications of Monte Carlo Models; 6. …
H. A. DAVID, PhD, is a Distinguished Professor Emeritus in the Department of Statistics at Iowa State University. He has authored over 100 publications, including the Second Edition of Order …
Considerable changes have occurred in the field of order statistics in the nearly 20 years since Order Statistics, Second Edition was published. This Third Edition gives a coherent and helpful account …
Preface.1. Introduction.2. Basic Distribution Theory.3. Expected Values and Moments.4. Bounds and Approximations for Moments of Order Statistics.5. The NON-IID Case.6. Further Distribution Theory.7. …
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internionally known …
Preface. Contributing Authors. 1. Professor Sidney J. Yakowitz; D.S. Yakowitz. Part I. 2. Stability of Single Class Queueing Networks; H.J. Kushner. 3. Sequential Optimization Under Uncertainty; Tze …
Clustering is a discipline concerned with finding and describing cohesive groups, or clusters, in data. It is a key area of data mining and knowledge discovery topics devoted to finding hidden …
Introduction: Historical Remarks. What is Clustering. What is Data. K-Means Clustering. Ward …
GENSTAT is a general purpose statistical computing system with a flexible command language operating on a variety of data structures. It may be used on a number of computer ranges, either …
Die Anwendung statistischer Methoden wird heute in der Regel durch den Einsatz von Computern unterstützt. Das Programm R ist dabei ein leicht erlernbares und flexibel einzusetzendes Werkzeug, mit …
This textbook demonstrates how the tools of analysis can be used …
Preface; 1. Foundations; 2. Some important Dirichlet series and arithmetic functions; 3. The basic theorems; 4. Prime numbers in residue classes: Dirichlet's theorem; 5. Error estimates and the …
Ru Chen, Ph.D in mathematical statistics from Unviersity of Maryland at College …
In this project we look at the case when two of fundamental assumptions in the method of Maximum Likelihood are violated. In particular, we study a special class of misspecified models, where the true …
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