wired - Statistics 2

Das Buch enthält Fallstudien zur deskriptiven und induktiven Statistik, welche auf die Bachelor-Ausbildung in der Betriebswirtschaft ausgerichtet sind. Für die fachlichen Grundlagen wird auf eine pr……続きを見る

The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessi……続きを見る

Dieses essential befasst sich mit der einfachen linearen Regression, der simpelsten Form von Regressionsmodellen, in der für die Modellbildung nur eine einzige Einflussvariable berücksichtigt wird. ……続きを見る

A hands-on beginner’s guide to designing relational databases and managing data using Microsoft Access Relational databases represent one of the most enduring and pervasive forms of information tech……続きを見る

Das dreibändige Lehrbuch „Quantitative BWL“ stellt die theoretischen quantitativen Grundlagen der betrieblichen Entscheidungen und des marktwirtschaftlichen Umfelds dar. Es ist für Studierende der W……続きを見る

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern ……続きを見る

Measuring the "health" of Italian SMEs with insolvency prediction models Z '-ScoreM and D-Score. This book comes from the study of probability of Default began in 2007 and that continues to this day……続きを見る

Master business modeling and analysis techniques with Microsoft Excel 2013, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focu……続きを見る

Advanced Statistics for Kinesiology and Exercise Science is the first textbook to cover advanced statistical methods in the context of the study of human performance. Divided into three distinct sec……続きを見る

This book was written to serve as a graduate-level textbook for special topics classes in mathematics, statistics, and economics, to introduce these topics to other researchers, and for use in short……続きを見る

Müssen Sie sich schnell in die Wirtschaftsmathematik einarbeiten? Dieses handliche Buch bietet Ihnen einen Kompaktkurs in die wichtigsten mathematischen Grundlagen, die Sie kennen müssen, wenn Sie i……続きを見る

Das dreibändige Lehrbuch „Quantitative BWL“ stellt die theoretischen quantitativen Grundlagen der betrieblichen Entscheidungen und des marktwirtschaftlichen Umfelds dar. Es ist für Studierende der W……続きを見る

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require cons……続きを見る

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an idea……続きを見る

Sich all die Regeln der verschiedenen Gebiete der Wirtschaftsmathematik zu merken ist schon ein hartes Geschäft und dann soll man sie auch noch richtig anwenden. Ist die Not groß, ist das passende »……続きを見る

A workflow for building and testing a linear regression model, complete with R code. This book consists of analysis and model building using data for wine quality. The goal is to build a model that ……続きを見る

Success Secrets From the Great Masters is a life-changing three-book collection of abridged classics designed to guide you towards success in all areas of your life. Napoleon Hill’s Think and Grow R……続きを見る

Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings. The subjects discussed in this bo……続きを見る

Looking for a research idea for your thesis or dissertation, look no further. This book contains scores of research examples that can be developed into a comprehensive research study, including surv……続きを見る

This book addresses one of the most important research activities in empirical macroeconomics. It provides a course of advanced but intuitive methods and tools enabling the spatial and temporal disa……続きを見る

Das dreibändige Lehrbuch „Quantitative BWL“ stellt die theoretischen quantitativen Grundlagen der betrieblichen Entscheidungen und des marktwirtschaftlichen Umfelds dar. Es ist für Studierende der W……続きを見る

AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. The AI framework comprises of bootstrapping to create multiple training ……続きを見る

Provides a foundation in classical parametric methods of regression and classification essential for pursuing advanced topics in predictive analytics and statistical learning This book covers a broa……続きを見る

Master the fundamentals of regression without learning calculus with this one-stop resource The newly and thoroughly revised 3rd Edition of Applied Regression Modeling delivers a concise but compreh……続きを見る

Bayes' Theorem is hard. Is it, though? If you flick through any of the other books on Bayesian statistics you'll get the distinct impression that you'll have a lot of really hard maths to do, and it……続きを見る

Peter P. Eckstein bietet in diesem Lehrbuch eine Vielzahl von Übungs- und Klausuraufgaben zur statistischen Datenanalyse mit SPSS an. Die Aufgaben sind nach inhaltlichen Schwerpunkten geordnet und d……続きを見る

The world is currently in the midst of a data revolution. Consumers now inhabit a digital world and companies have no option but to follow them there. Governments are reviewing the rules of usage fo……続きを見る

The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. This book covers essenti……続きを見る

Best Interests of the Student presents both a theoretical model for guiding educators as they confront legal and ethical dilemmas in their schools, as well as highly accessible and annotated court c……続きを見る

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes many recent supervised and unsu……続きを見る