Andreas Krause – författare

This book explains the basics of S-PLUS in a clear style at a level suitable for people with little computing or statistical knowledge. Unlike the manuals, it is not comprehensive, but instead introduces the most important ideas of S-PLUS and R, its companion in implementing the S language.The authors take the reader on a journey into the world of interactive computing, data exploration, and statistical analysis. They explain how to approach data sets and teach the corresponding S-PLUS commands.A collection of exercises summarizes the main ideas of each chapter. The exercises are accompanied by solutions that are worked out in full detail, and the code is ready to use and to be modified.The volume is rounded off with practical hints on how efficient work can be performed in S-PLUS, for example by pointing out how to set up a good working environment and how to integrate S-PLUS with office products.The book is well suited for self-study and as a textbook. It serves as an introduction to S-PLUS as well as R. A separate chapter points out the major differences between R and S-PLUS.Over the last editions, the book has been updated to cover important changes like the inclusion of S Language Version 4, Trellis graphics, a graphical user interface, and many useful tips and tricks.The fourth edition is based on S-PLUS Version 7.0 for Windows and UNIX and has been updated and revised accordingly.

The purpose of this book is to provide a general guide to statistical methods used in the pharmaceutical industry, and to illustrate how to use S-PLUS to implement these methods. Specifically, the goal is to: *Illustrate statistical applications in the pharmaceutical industry; *Illustrate how the statistical applications can be carried out using S-PLUS; *Illustrate why S-PLUS is a useful software package for carrying out these applications; *Discuss the results and implications of a particular application; The target audience for this book is very broad, including: *Graduate students in biostatistics; *Statisticians who are involved in the industry as research scientists, regulators, academics, and/or consultants who want to know more about how to use S-PLUS and learn about other sub-fields within the indsutry that they may not be familiar with; *Statisticians in other fields who want to know more about statistical applications in the pharmaceutical industry.

The purpose of this book is to provide a general guide to statistical methods used in the pharmaceutical industry, and to illustrate how to use S-PLUS to implement these methods. Specifically, the goal is to: *Illustrate statistical applications in the pharmaceutical industry; *Illustrate how the statistical applications can be carried out using S-PLUS; *Illustrate why S-PLUS is a useful software package for carrying out these applications; *Discuss the results and implications of a particular application; The target audience for this book is very broad, including: *Graduate students in biostatistics; *Statisticians who are involved in the industry as research scientists, regulators, academics, and/or consultants who want to know more about how to use S-PLUS and learn about other sub-fields within the indsutry that they may not be familiar with; *Statisticians in other fields who want to know more about statistical applications in the pharmaceutical industry.

This book is devoted to the graphics of patient data: good graphs enabling straight¬forward and intuitive interpretation, efficient creation, and straightforward interpretation. We focus on easy access to graphics of patient data: the intention is to show a large variety of graphs for different phases of drug development, together with a description of what the graph shows, what type of data it uses, and what options there are. The main aim is to provide inspiration in form of a “graphics cookbook.” Many graphs provide creative ideas about what can be done. The book is not intended to be technical. It introduces general principles of good visualization to make readers understand the concepts, but the main focus is on the creativity and usefulness: readers are enabled to browse through the book to get ideas of how their own data can be analyzed graphically.For additional information visit Editor’s companion website: http://www.elmo.ch/doc/life-science-graphics/

This book is devoted to the graphics of patient data: good graphs enabling straight¬forward and intuitive interpretation, efficient creation, and straightforward interpretation.

The theory of investment banking behaviour and the relationship between investment banks and their clients is not widely known and applied to analyse developments in this industry. Going beyond the activities of investment banks, this book also includes an analysis of some of the employment practices and strategies found in investment banks.

Banking, and investment banking in particular, is to a large extent investigated empirically in the academic literature. The theory of investment banking behaviour and the relationship between investment banks and their clients is not widely known and applied to analyse developments in this industry. This book provides readers with a comprehensive and state-of-the-art overview of the theories of investment banking. It presents theories in all areas that investment banks are active, using a consistent and coherent framework, that allows combining different theories to develop more comprehensive analysis of developments in this important industry. Going beyond the activities of investment banks, this book also includes an analysis of some of the employment practices and strategies found in investment banks. The book is intended for students. However, it will also benefit practitioners working in the field and professionals who aspire to such professional activities in the financial industry.

Das Buch richtet sich an alle, die schnell und auf solider Basis S bzw. S-PLUS in den zentralen Elementen erlernen wollen. Die Grundlagen von S und S-PLUS werden durch Konzentration auf die Hauptaspekte der Sprache und deren praktische Anwendungen erarbeitet. Durch ausführliche Untersuchungen realer Daten wird ein gemeinsamer Zugang zu Datenanalyse-Methoden und S/S-PLUS geschaffen. Nur geringe Kenntnisse in Statistik und Programmierung sind dabei Voraussetzung. Alle Darstellungen werden von Beispielen begleitet. Ein zentraler Teil des Buches besteht in einer umfangreichen Aufgabensammlung und vollständig ausgearbeiteten Lösungen, die die Anwendungen im Detail illustrieren. Geeignet zum Selbststudium sowie als Unterrichtsmaterial.