Dieses Lehrbuch unterstützt bei der Vorbereitung eines reizvollen, lebendigen und problemorientierten Geometrieunterrichts in der Primarstufe und Sekundarstufe I.
For all engineers and students coming to finite element analysis or to ANSYS software for the first time, this powerful hands-on guide develops a detailed and confident understanding of using ANSYS's powerful engineering analysis tools.
This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas.
The Second Bayesian Young Statisticians Meeting (BAYSM 2014) and the research presented here facilitate connections among researchers using Bayesian Statistics by providing a forum for the development and exchange of ideas.
Power and Sample Size in R guides the reader through power and sample size calculations for a wide variety of study outcomes and designs and illustrates their implementation in R software.
A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R?
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R.
This volume presents the latest advances and trends in nonparametric statistics, and gathers selected and peer-reviewed contributions from the 3rd Conference of the International Society for Nonparametric Statistics (ISNPS), held in Avignon, France on June 11-16, 2016.
Master the concepts and techniques of statistical analysis using JMPPractical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis.
Dieses zweibändige Lehrbuch umfaßt einen Kanon von Themen, der an vielen Universitäten unter dem Titel "Diskrete Strukturen" fester Bestandteil des Informatik-Grundstudiums geworden ist.
Introduces the graphical capabilities of R to readers new to the software Due to its flexibility and availability, R has become the computing software of choice for statistical computing and generating graphics across various fields of research.
Statistics is of ever-increasing importance in Science and Technology and this book presents the essentials of the subject in a form suitable either as the basis of a course of lectures or to be read and/or used on its own.
Dieses Lehrbuch stellt eine Vielzahl von Werkzeugen zur Analyse von Experimenten zur Verfügung: Es zeigt die Grundlagen der Auswertung faktorieller Versuchspläne mittels ein- oder mehrfaktorieller Varianzanalysen (ANOVA) sowie mittels gängiger nichtparametrischer Alternativen.
Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students.
* Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data.
Das Buch führt anwendungsorientiert in die Optimization Programming Language (OPL) zur Modellierung linearer und ganzzahliger linearer Optimierungsprobleme im Rahmen des IBM ILOG CPLEX Optimization Studio ein.
This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data.
The fun and friendly guide to mastering IBM s Statistical Package for the Social Sciences Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis.
Dieses Lehrbuch motiviert und erklärt die Inhalte der deskriptiven und induktiven Statistik, indem es die mathematischen Grundlagen der Statistik mit vielfältigen, leicht nachvollziehbaren Anwendungen und Beispielen verbindet: Durch überschaubare Beispiele, die mit Papier und Stift durchgerechnet werden können (und sollten!
Dieses Buch zeigt dem Ingenieurstudenten - und dem in der Praxis tätigen Ingenieur - die für ihn wichtigen Einsatzmöglichkeiten der Computeralgebra und weist auf geeignete mathematische Formulierungen hin.
