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Probabilistic structural dynamics offers unparalleled tools for analyzing uncertainties in structural design. Once avoided because it is mathematically rigorous, this technique has recently remerged with the aide of computer software. Written by an author/educator with 40 years of experience in structural design, this user friendly manual integrates theories, formulas and mathematical models to produce a guide that will allow professionals to quickly grasp concepts and start solving problems. In this book, the author uses simple examples that provide templates for creating of more robust case studies later in the book. *Problems are presented in an easy to understand form *Practical guide to software programs to solve design problems *Packed with examples and case studies of actual projects *Classical and the new stochastic factors of safety.
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Dieses Lehrbuch bietet eine umfassende moderne Einführung in die wichtigsten Gebiete der Wahrscheinlichkeitstheorie und ihre maßtheoretischen Grundlagen. Themenschwerpunkte sind: Maß- und Integrationstheorie, Grenzwertsätze für Summen von Zufallsvariablen (Gesetze der Großen Zahl, Zentraler Grenzwertsatz, Ergodensätze, Gesetz vom iterierten Logarithmus, Invarianzprinzipien, unbegrenzt teilbare Verteilungen), Martingale, Perkolation, Markovketten und elektrische Netzwerke, Konstruktion stochastischer Prozesse, Poisson'scher Punktprozess, Brown'sche Bewegung, stochastisches Integral und stochastische Differentialgleichungen. Mehr als 200 Übungsaufgaben und zahlreiche Abbildungen runden die Darstellung ab. Breite und Auswahl der Themen sind einmalig in der deutschsprachigen Literatur.
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This textbook provides a compact yet accessibly written introduction to probability theory. Stochastic processes, martingales and application examples are dealt with alongside the basics. The necessary foundations of measure theory and metric spaces is provided. This text can be used as a first-class and motivating basis for a challenging three-semester introductory course on probability theory.
Probabilities. --- Mathematics. --- Distribution (Probability theory) --- Ito Formula. --- Martingale. --- Probability Theory. --- Random Variable. --- Stochastic Integral.
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Latent structure analysis. --- Latent variables. --- Mixture distributions (Probability theory) --- Compound distributions (Probability theory) --- Distributions, Mixture (Probability theory) --- Mixed distributions (Probability theory) --- Mixing distributions (Probability theory) --- Mixtures of distributions (Probability theory) --- Distribution (Probability theory) --- Constructs, Hypothetical --- Hypothetical constructs --- Variables, Latent --- Latent structure analysis --- Multivariate analysis --- Variables (Mathematics) --- Correlation (Statistics) --- Latent variables --- Mathematical statistics
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Stochastik ist zugleich die Mathematik des Zufalls und eine interdisziplinäre Wissenschaft mit stetig wachsender Bedeutung. Der Inhalt Dieses Buch soll dem Leser einen Einstieg in die Stochastik, die Kunst des "geschickten Vermutens" vermitteln und ihn in die Lage versetzen, zum Beispiel über den Begriff der statistischen Signifikanz kritisch und kompetent mitreden zu können. Es enthält über 200 Übungsaufgaben mit Lösungen. Durch Lernzielkontrollen und ein ausführliches Stichwortverzeichnis eignet es sich insbesondere zum Selbststudium und als vorlesungsbegleitender Text. Gegenüber der 6. Auflage wurde das Buch um eine Einführung in stetige Verteilungsmodelle und damit zusammenhängende statistische Verfahren erweitert. Es deckt jetzt den Stoff ab, der in einer einführenden Stochastik-Veranstaltung in einem Bachelor-Studiengang behandelt werden kann.
Probabilities. --- Mathematics. --- Probability Theory and Stochastic Processes. --- Mathematics, general.
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Dieses Teubner-Lehrbuch schildert in leicht verständlicher Form und mit vielen nachrechenbaren Beispielen, wie man Datenmengen mit dem PC erfassen, verwalten, aufbereiten, auswerten und attraktiv präsentieren kann. Dafür wird das allseits vorhandene und beliebte Office-Programm Excel verwendet. Das Buch setzt nur geringe Grundkenntnisse beim Leser voraus; der Umgang mit zentralen Excel-Funktionen wird ausführlich erklärt.
Statistics . --- Probabilities. --- Statistics, general. --- Probability Theory and Stochastic Processes.
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This book presents recent methods of study on the asymptotic behavior of solutions of abstract differential equations such as stability, exponential dichotomy, periodicity, almost periodicity, and almost automorphy of solutions. The chosen methods are described in a way that is suitable to those who have some experience with ordinary differential equations. The book is intended for graduate students and researchers in the related areas.
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"40 Puzzles and Problems in Probability and Mathematical Statistics" is intended to teach the reader to think probabilistically by solving challenging, non-standard probability problems. The motivation for this clearly written collection lies in the belief that challenging problems help to develop, and to sharpen, our probabilistic intuition much better than plain-style deductions from abstract concepts. The selected problems fall into two broad categories. Problems related to probability theory come first, followed by problems related to the application of probability to the field of mathematical statistics. All problems seek to convey a non-standard aspect or an approach which is not immediately obvious. The word puzzles in the title refers to questions in which some qualitative, non-technical insight is most important. Ideally, puzzles can teach a productive new way of framing or representing a given situation. Although the border between the two is not always clearly defined, problems tend to require a more systematic application of formal tools, and to stress more technical aspects. Thus, a major aim of the present collection is to bridge the gap between introductory texts and rigorous state-of-the-art books. Anyone with a basic knowledge of probability, calculus and statistics will benefit from this book; however, many of the problems collected require little more than elementary probability and straight logical reasoning. To assist anyone using this book for self-study, the author has included very detailed step-for-step solutions of all problems and also short hints which point the reader in the appropriate direction.
Probabilities. --- Mathematical statistics. --- Probabilities --- Mathematical statistics --- Mathematics. --- Probability Theory and Stochastic Processes. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Risk --- Math --- Science --- Statistics, Mathematical --- Statistics --- Sampling (Statistics) --- Statistical methods --- Distribution (Probability theory. --- Distribution functions --- Frequency distribution --- Characteristic functions
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