The idea of the book is to present a text that is useful for both students of quantitative sciences and practitioners who work with univariate or multivariate probabilistic models. Since the text should also be suitable for self-study, excessive formalism is avoided though mathematical rigor is retained. A deeper insight into the topics is provided by detailed examples and illustrations. The book covers the standard content of a course in probability and statistics. However, the second edition includes two new chapters about distribution theory and exploratory data analysis. The first-mentioned chapter certainly goes beyond the standard material. It is presented to reflect the growing practical importance of developing new distributions. The second new chapter studies intensively one- and bidimensional concepts like assymetry, kurtosis, correlation and determination coefficients. In particular, examples are intended to enable the reader to take a critical look at the appropriateness of the geometrically motivated concepts.

This accessible and easy-to-read book provides many examples to illustrate diverse topics in probability and statistics, from initial concepts up to advanced calculations. Special attention is devoted e.g. to independency of events, inequalities in probability and functions of random variables. The book is directed to students of mathematics, statistics, engineering, and other quantitative sciences, in particular to readers who need or want to learn by self-study. The author is convinced that sophisticated examples are more useful for the student than a lengthy formalism treating the greatest possible generality. Contents: Mathematics revision Introduction to probability Finite sample spaces Conditional probability and independence One-dimensional random variables Functions of random variables Bi-dimensional random variables Characteristics of random variables Discrete probability models Continuous probability models Generating functions in probability Sums of many random variables Samples and sampling distributions Estimation of parameters Hypothesis tests

This book is an introduction to nonlinear programming. It deals with the theoretical foundations and solution methods, beginning with the classical procedures and reaching up to “modern” methods like trust region methods or procedures for nonlinear and global optimization. A comprehensive bibliography including diverse web sites with information about nonlinear programming, in particular software, is presented. Without sacrificing the necessary mathematical rigor, excessive formalisms are avoided. Several examples, exercises with detailed solutions, and applications are provided, making the text adequate for individual studies. The book is written for students from the fields of applied mathematics, engineering, economy, and computation.

Many problems in economics can be formulated as linearly constrained mathematical optimization problems, where the feasible solution set X represents a convex polyhedral set. In practice, the set X frequently contains degenerate verti- ces, yielding diverse problems in the determination of an optimal solution as well as in postoptimal analysis.The so- called degeneracy graphs represent a useful tool for des- cribing and solving degeneracy problems. The study of dege- neracy graphs opens a new field of research with many theo- retical aspects and practical applications. The present pu- blication pursues two aims. On the one hand the theory of degeneracy graphs is developed generally, which will serve as a basis for further applications. On the other hand dege- neracy graphs will be used to explain simplex cycling, i.e. necessary and sufficient conditions for cycling will be de- rived.

Die "Wirtschaftsmathematik" ist eine Zusammenfassung der in den Wirtschaftswissenschaften gemeinhin benötigten mathematischen Kenntnisse. Band 3, Analysis II, liefert die anspruchsvollen analytischen Hilfsmittel für die Mikroökonomik, die Produktionstheorie, die Investitionsrechnung oder das Operations Research. Funktionen mehrerer Variabler, deren Differentiation (und Integration), Differentialgleichungen und Differenzengleichungen sind die mathematischen Inhalte. Substitutionsraten (von Produktionsfaktoren), Kreuzelastizitäten (von Preisen) oder Wachstumsmodelle (für das Volkseinkommen) sind nur einige für die und von den Wirtschaftswissenschaften geprägten Begriffe. Die fernstudienerfahrenen Autoren haben den Stoff so aufbereitet, daß das Buch für das Selbststudium besonders geeignet ist.

Die "Wirtschaftsmathematik" ist eine Zusammenfassung der in den Wirtschaftswissenschaften gemeinhin benötigten mathematischen Kenntnisse. Band 2, Analysis I, dient der Wiederholung/Vertiefung des gymnasialen Oberstufenstoffes. Hier wird der Funktionsbegriff, werden Folgen und Reihen, die Differentialrechnung und die Integralrechnung von Funktionen einer Variablen eingeführt. Ziel der behandelten Mathematik ist die Erarbeitung wichtiger Werkzeuge zur ökonomischen Analyse: ökonomische Funktionen, Renten- und Zinseszinsrechnung, Untersuchungen über Kosten- oder Ertragsänderungen, Aggregation von Geldströmen etc. Die fernstudienerfahrenen Autoren haben den Stoff so aufbereitet, daß das Buch für das Selbststudium besonders geeignet ist.