Kategoria BISAC: Computers >> Mathematical & Statistical Software

Linear Algebra: An Introduction With Mathematica uses a matrix-based presentation and covers the standard topics any mathematician will need to understand linear algebra while using Mathematica. Development of analytical and computational skills is emphasized, and worked examples provide step-by-step methods for solving basic problems using Mathematica. The subject's rich pertinence to problem solving across disciplines is illustrated with applications in engineering, the natural sciences, computer animation, and statistics.

Linear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formulas behind attractive user interfaces. This book bridges that gap, demonstrating theory put into practice.

Concepts presented in a theoretical linear models course are often trivialized in applied linear models courses by the facility of high-level SAS procedures like PROC MIXED and PROC REG...

Dieser Band mit Beitragen aus der nationalen und internationalen Forschung zum 60. Geburtstag von Prof. Dr. Rolf Biehler (Universitat Paderborn) prasentiert wissenschaftliche Arbeiten zum Werkzeugeinsatz beim Lehren und Lernen von Mathematik im Allgemeinen sowie von Statistik und Stochastik im Besonderen. Wie ein roter Faden durchzieht den Festband, wie auch schon das wissenschaftliche Oeuvre von Rolf Biehler, ein breites Verstandnis des Begriffs Werkzeug (engl. tools ). Die Themen decken das komplette Spektrum der Mathematikdidaktik auf allen Schulstufen sowie auf dem tertiaren Sektor ab....

In den Natur- und Ingenieurwissenschaften haben sich Computeralgebrasysteme wie MuPAD zu einem unentbehrlichen Werkzeug in Lehre und Forschung entwickelt. MuPAD uberzeugt dabei durch klare Strukturen, vielfaltige Visualisierungsmoglichkeiten und effiziente Berechnungen.

Das Buch gibt eine elementare Einfuhrung in die Welt der Computeralgebrasysteme am Beispiel MuPAD. Der Aufbau der Sprache und die wichtigsten Sprachelemente werden an vielen Beispielen demonstriert. Die Beispiele entstammen in der regel aus den mathematischen Grundvorlesungen in Analysis und Lineare Algebra. Auf...

This account of recent works on weakly dependent, long memory and multifractal processes introduces new dependence measures for studying complex stochastic systems and includes other topics such as the dependence structure of max-stable processes.

The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. The book is designed to show finite mixture and Markov switching models are formulated, what structures they imply on the data, their potential uses, and how they are estimated. Presenting its concepts informally without sacrificing mathematical correctness, it will serve a wide readership including...

In order to build a successful, Java-based application it is important to have a clear understanding of the principles underlying the various financial models. Those models guide the application designer in choosing the most appropriate Java data structures and implementation strategy. This book describes the principles of model building in financial engineering and explains those models as designs and working implementations for Java-based applications.

Throughout the book a series of packaged classes are developed to address a wide range of financial applications. Java...

Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he s got it right."

Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of the application of computational intelligence methodologies in this field.

In this volume, Chen and Wang collected not just works on traditional computational intelligence approaches like fuzzy logic, neural networks, and genetic algorithms, but also examples for more recent technologies like e.g. rough sets, support vector machines, wavelets, or...

R ist eine objekt-orientierte und interpretierte Sprache und Programmierumgebung fur Datenanalyse und Grafik. Ziel dieses Buches ist es, nicht nur ausfuhrlich in die Grundlagen der Sprache R einzufuhren, sondern auch ein Verstandnis der Struktur der Sprache zu vermitteln. Leicht konnen so eigene Methoden umgesetzt, Objektklassen definiert und ganze Pakete aus Funktionen und zugehoriger Dokumentation zusammengestellt werden. Die enormen Grafikfahigkeiten von R werden detailliert beschrieben. Die dritte Auflage des Buches ist an die vielen Verbesserungen und Neuerungen bis R-2.7.1 angepasst...

Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics....