Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It covers competing risks and counting processes and provides many real-world examples, exercises, and R code. The text discusses survival data, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case in any depth. Written for a graduate-level audience in statistics/biostatistics, this book includes practical exercises and R code for the examples. The author is renowned for his clear writing style, and this book continues that trend. It is an excellent reference for graduate students and researchers looking for grounding in this burgeoning field of research.

Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples.

Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R.

Focusing on the R software, the first section covers:

• Basic elements of the R software and data processing
• Clear, concise visualization of results, using simple and complex graphs
• Programming basics: pre-defined and user-created functions

The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including:

• Regression methods
• Analyses of variance and covariance
• Classification methods
• Exploratory multivariate analysis
• Clustering methods
• Hypothesis tests

After a short presentation of the method, the book explicitly details the R command lines and gives commented results. Accessible to novices and experts alike, R for Statistics is a clear and enjoyable resource for any scientist.

Datasets and all the results described in this book are available on the book s webpage at http: //www.agrocampus-ouest.fr/math/RforStat

SharePoint 2010 offers developers, designers, and users a sophisticated intranet, web application, and Internet site platform. But until now, SharePoint users have had to painfully edit code or seek developer assistance to customize more than just the most minor parts of their sites. All of that has changed with SharePoint Designer 2010. Gain complete control and enhance your SharePoint sites with a depth not previously possible using this book.Pro SharePoint Designer 2010 isyour soup-to-nuts reference for unlocking the power of SharePoint Designer.
Covering everything you'll need to know to create custom, rich SharePoint experiences, Pro SharePoint Designer 2010 is a masterful guide to getting the most from this powerful application quickly and easily.
This book starts with a fast-paced introduction to the 2010 version of the SharePoint Designer solution, including an overview of its features and capabilities. Then, the authorsdemonstrate those tools inaction in a practical, results-oriented way, showing you howto vastly improve the functionality, fit and finish of your SharePoint sites. With Pro SharePoint Designer 2010 at hand, you'll master the customization of the end user's completeSharePoint 2010 experience and be on your way to enhancing your sites in no time. What you'll learn How to create and edit master pages and page layouts How to make, customize and enhance libraries and lists How to exercise granular control of site permissions on all SharePoint 2010 objects How to enhance the look and feel of forms, library views, and more, through CSS styles and themes How to connect SharePoint to databases, web applications, line-of-business (LOB) programs, and more How to integrate InfoPath for automated form handling and control How to create and manage web parts How to further customize SharePoint using JavaScript and Silverlight Who this book is for

This book is for end users, administrators, and novice developers with some coding experience, and anyone else who wants to create custom, rich SharePoint experiences quickly and easily. More advanced users will find the client-side programming material helpful as well. Table of Contents A Quick Guide to SharePoint Designer Editing Pages Using SharePoint to Store Data Managing Web Parts Displaying Data Styles and Themes Managing Publishing Sites Advanced Site Customizations Client-Side Programming Consuming External Data Using InfoPath Forms Automating with Workflows

SharePoint is gaining recognition as a full-fledged application server with many features and enhancements that specifically allow non-developers to create sophisticated intranet sites. However, with the 2010 release, Microsoft's SharePoint increasingly becomes a compelling development platform. The strong application programming interface (API), its highly extensible nature, and its foundation on the underlying .NET Framework all generate the perfect storm to make it one of the most powerful web development platforms available.

However, with power comes complexity. The wide range of usage scenarios make it difficult for developers to grasp the full ability of this next-generation platform. This book takes an in-depth, all-encompassing approach to programming concepts, the extensibility interfaces, and how to embrace SharePoint as a toolkit full of features available to web developers.Take an in-depth look into the internals of SharePoint. Create sophisticated applications using SharePoint controls and databases. Understand the API and use in conjunction with ASP.NET to extend SharePoint.

SharePoint is more than a portal and more than an intranet. Harness its capabilities and put it to work for you. What you'll learn The hierarchy of SharePoint's API How to create rich, extensible, and broad SharePoint applications How to use SharePoint's internals How to approach SharePoint as an open toolkit rather than a closed, intranet-only model How to take advantage of SharePoint's extensibility and customize its behavior Who this book is for

This book is for ASP.NET developers who want to create applications using SharePoint as a platform. It's also for users of SharePoint Designer that want to professionalize their development work. Table of Contents Developer Basics Architecture Accessing the API Data Access External Data Access Web Parts Templates Application Techniques Solution Deployment Extending the User Interface Using Web Controls Client Programming Integrating Silverlight Integrating Charts and Maps Forms Services and InfoPath Workflows Administrative Tasks Enterprise Features

Understanding Statistics in Psychology with SPSS, eighth edition, offers students a trusted, straightforward, and engaging way of learning to do statistical analyses confidently using SPSS. Comprehensive and practical, the text is organised into short accessible chapters, making it the ideal text for undergraduate psychology students needing to get to grips with statistics in class or independently. Clear diagrams and full colour screenshots from SPSS make the text suitable for beginners while the broad coverage of topics ensures that students can continue to use it as they progress to more advanced techniques. Key features * Combines coverage of statistics with full guidance on how to use SPSS to analyse data. * Suitable for use with all versions of SPSS. * Examples from a wide range of real psychological studies illustrate how statistical techniques are used in practice. * Includes clear and detailed guidance on choosing tests, interpreting findings and reporting and writing up research. * Student-focused pedagogical approach including: o Key concept boxes detailing important terms. o Focus on sections exploring complex topics in greater depth. o Explaining statistics sections clarify important statistical concepts. . Dennis Howitt and Duncan Cramer are with Loughborough University.

Will provide a more elementary introduction to these topics than other books available; Gentle is the author of two other Springer books

A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.

Over the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory of new methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. The algorithms are described rigorously, which allows implementing directly the described methods. This book is aimed at experienced statisticians who are familiar with the theory of survey sampling.

While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the original text and translated text. Additionally, many versions can be suggested, each with their advantages and disadvantages. Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations. As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure. Although syntax is vital, understanding the semantics is the real challenge of any good translation. In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations. Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand. Sometimes data sets contain errors, inconsistencies between answers, or missing data. More often, available statistical tools are not formally appropriate for the given situation, making it difficult to assess to what extent this slight inadequacy affects the interpretation of results. Analysis of Questionnaire Data with R tackles these and other common challenges in the practice of statistics.

The bestselling beginner Arduino guide, updated with new projects! Exploring Arduino makes electrical engineering and embedded software accessible. Learn step by step everything you need to know about electrical engineering, programming, and human-computer interaction through a series of increasingly complex projects. Arduino guru Jeremy Blum walks you through each build, providing code snippets and schematics that will remain useful for future projects. Projects are accompanied by downloadable source code, tips and tricks, and video tutorials to help you master Arduino. You'll gain the skills you need to develop your own microcontroller projects! This new 2nd edition has been updated to cover the rapidly-expanding Arduino ecosystem, and includes new full-color graphics for easier reference. Servo motors and stepper motors are covered in richer detail, and you'll find more excerpts about technical details behind the topics covered in the book. Wireless connectivity and the Internet-of-Things are now more prominently featured in the advanced projects to reflect Arduino's growing capabilities. You'll learn how Arduino compares to its competition, and how to determine which board is right for your project. If you're ready to start creating, this book is your ultimate guide! * Get up to date on the evolving Arduino hardware, software, and capabilities * Build projects that interface with other devices wirelessly! * Learn the basics of electrical engineering and programming * Access downloadable materials and source code for every project Whether you're a first-timer just starting out in electronics, or a pro looking to mock-up more complex builds, Arduino is a fantastic tool for building a variety of devices. This book offers a comprehensive tour of the hardware itself, plus in-depth introduction to the various peripherals, tools, and techniques used to turn your little Arduino device into something useful, artistic, and educational. Exploring Arduino is your roadmap to adventure start your journey today!

This book presents a rigorous mathematical development of soil water and contaminant flow in variably saturated and saturated soils. Analytical and numerical methods are balanced: computer programs, among them MathCad and Fortran, are presented, and more than 150 practice and discussion questions are included. Students are thus exposed not only to theory but also to an array of solutions techniques. Those using the book as a reference will appreciate the careful development of basic flow equations, the inclusion of solutions and methodology currently available only in journals and proceedings volumes, and the examples and calculations directly applicable to their own work.

In the history of mathematics there are many situations in which cal- lations were performed incorrectly for important practical applications. Let us look at some examples, the history of computing the number ? began in Egypt and Babylon about 2000 years BC, since then many mathematicians have calculated ? (e. g. , Archimedes, Ptolemy, Vi` ete, etc. ). The ?rst formula for computing decimal digits of ? was disc- ered by J. Machin (in 1706), who was the ?rst to correctly compute 100 digits of ?. Then many people used his method, e. g. , W. Shanks calculated ? with 707 digits (within 15 years), although due to mistakes only the ?rst 527 were correct. For the next examples, we can mention the history of computing the ?ne-structure constant ? (that was ?rst discovered by A. Sommerfeld), and the mathematical tables, exact - lutions, and formulas, published in many mathematical textbooks, were not veri?ed rigorously [25]. These errors could have a large e?ect on results obtained by engineers. But sometimes, the solution of such problems required such techn- ogy that was not available at that time. In modern mathematics there exist computers that can perform various mathematical operations for which humans are incapable. Therefore the computers can be used to verify the results obtained by humans, to discovery new results, to - provetheresultsthatahumancanobtainwithoutanytechnology. With respectto our example of computing?, we can mention that recently (in 2002) Y. Kanada, Y. Ushiro, H. Kuroda, and M.

Dem gestiegenen Wettbewerbsdruck begegnen die Unternehmen neben Rationalisierungs- und Differenzierungsmassnahmen vor allem durch Kundenbindung. Eine zentrale Rolle spielt hierbei die Ausweitung und kundenindividuelle Gestaltung von Dienstleistungsangeboten. Die modellbasierte Entwicklung und kontinuierliche Verbesserung von Dienstleistungen gewinnen daher immer mehr an Bedeutung. Der Band gibt einen Uberblick uber die hierbei einsetzbaren Methoden und zeigt zukunftige Entwicklungsperspektiven auf. Die zahlreichen Beispiele, die unterschiedlichen Branchen entstammen, fokussieren einerseits Modelle zur Dienstleistungsentwicklung und -erbringung und andererseits Modelle von Informationssystemen, welche die Entwicklung und/oder die Erbringung von Dienstleistungen unterstutzen. Sie betrachten alle Lebenszyklusphasen von Dienstleistungen sowie alle Dimensionen des Dienstleistungsbegriffs, die eine Basis zur Entwicklung von Ressourcen-, Prozess- und Produktmodellen darstellen."

Emphasizing that it's much easier and more cost effective to make changes in the planning phases of a project rather than later on, Project Management Tools and Techniques for Success provides an accessible introduction to project management fundamentals. Highlighting approaches for avoiding common pitfalls, it begins with an introduction to project management that compares and contrasts the stages of poor management with those of effective management. Because change is inherent in virtually all projects, the text outlines the human effects of change and suggests ways to mitigate these effects. It addresses team dynamics, sourcing alternatives, motivating the team, managing expectations, assessing risk, and defining and prioritizing project requirements. The book translates difficult concepts into practical applications with a case study that examines the merger of two companies, along with the subsequent development of a new corporate headquarters. By adding a layer of statistical methods and tools to the front-end of a project, Design for Six Sigma (DFSS) augments standard Six Sigma processes to help ensure project results meet customers' needs and that delays caused by new requirements or rework after implementation are eliminated or reduced. The book explains how to effectively incorporate DFSS tools to reduce the possibility of failure in your next project. Clearly illustrating effective project management practices, the book includes a listing of commonly used acronyms, suggestions for additional reading, along with instructions on how to create four of the most important tools discussed in the book.

State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. Whenever possible it is shown how to compute estimates and forecasts in closed form; for more complex models, simulation techniques are used. A final chapter covers modern sequential Monte Carlo algorithms.

The book illustrates all the fundamental steps needed to use dynamic linear models in practice, using R. Many detailed examples based on real data sets are provided to show how to set up a specific model, estimate its parameters, and use it for forecasting. All the code used in the book is available online.

No prior knowledge of Bayesian statistics or time series analysis is required, although familiarity with basic statistics and R is assumed.

Success with Microsoft Dynamics CRM 4.0: Implementing Customer Relationship Management is aimed at readers who are interested in understanding how to successfully implement Microsoft Dynamics CRM 4.0 within their projects. It is intended as an implementation roadmap for the business and technical representatives leading or engaged in a project.

The book covers the capabilities of Microsoft Dynamics CRM, both in the traditional functional areas of sales, marketing, and service and as an applications framework for XRM deployments. The book demonstrates CRM best practices for design, configuration, and development. Through realworld solutions and exercises, you will be given the confidence and expertise to deliver an implementation that provides longterm success for your organization.

World-renowned software guru Joel Spolsky s company, Fog Creek Software, has created a tool called FogBugz that incorporates all of Joel s insight into what works and what doesn t work in project management. FogBugz is based on a keeping track of a database of cases. At any given time, every case is assigned to one person who must resolve it or forward it to someone else. Cases can be prioritized, documented, sorted, discussed, edited, assigned, estimated, searched, and tracked. Because FogBugz is web-based, everyone on the team always sees the whole picture. Everything from customer feature requests to high-level design discussions to tiny bug fix details is instantly searchable and trackable. Painless Project Management with FogBugz, Second Edition, written with the guidance of the whole FogBugz team, completely describes the ins and outs of the latest version of FogBugz, version 6 of which is scheduled for release simultaneously with this book.

Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems. After introducing fundamental statistical concepts, the author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She then focuses on regression methodology, highlighting simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife. With SAS code and output integrated throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range of fields, including the pharmaceutical industry and the social sciences.

The R language provides a rich environment for working with data, especially data to be used for statistical modeling or graphics. Coupled with the large variety of easily available packages, it allows access to both well-established and experimental statistical techniques. However techniques that might make sense in other languages are often very ine?cient in R, but, due to R's ?- ibility, it is often possible to implement these techniques in R. Generally, the problem with such techniques is that they do not scale properly; that is, as the problem size grows, the methods slow down at a rate that might be unexpected. The goal of this book is to present a wide variety of data - nipulation techniques implemented in R to take advantage of the way that R works, ratherthandirectlyresemblingmethodsusedinotherlanguages. Since this requires a basic notion of how R stores data, the ?rst chapter of the book is devoted to the fundamentals of data in R. The material in this chapter is a prerequisite for understanding the ideas introduced in later chapters. Since one of the ?rst tasks in any project involving data and R is getting the data into R in a way that it will be usable, Chapter 2 covers reading data from a variety of sources (text ?les, spreadsheets, ?les from other programs, etc. ), as well as saving R objects both in native form and in formats that other programs will be able to work with.

Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting. The text presents algorithms for the estimation of a variety of regression procedures using maximum likelihood estimation, iteratively reweighted least squares regression, the EM algorithm, and MCMC sampling. Fully developed, working R code is constructed for each method. The book starts with OLS regression and generalized linear models, building to two-parameter maximum likelihood models for both pooled and panel models. It then covers a random effects model estimated using the EM algorithm and concludes with a Bayesian Poisson model using Metropolis-Hastings sampling. The book's coverage is innovative in several ways. First, the authors use executable computer code to present and connect the theoretical content. Therefore, code is written for clarity of exposition rather than stability or speed of execution. Second, the book focuses on the performance of statistical estimation and downplays algebraic niceties. In both senses, this book is written for people who wish to fit statistical models and understand them. See Professor Hilbe discuss the book.

Active Enterprise Intelligence ist der ganzheitliche Ansatz einer Informationslogistik von Teradata, der zwischen Strategic und Operational Intelligence unterscheidet, diese aber in einer integrierten Betrachtungsweise auf Basis eines unternehmensweiten Active Data Warehouses wieder zusammenfuhrt. Dieses Buch verbindet erstmals den Teradata-Ansatz mit der St. Galler Schule der Unternehmensweiten Informationslogistik. Aktuelle Herausforderungen und Losungsansatze der Informationslogistik werden thematisiert und Hinweise zu ihrer Ausgestaltung gegeben.

This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives Workshop on Subspace, Latent Structure and Feature Selection techniques, SLSFS 2005. The 9 revised full papers presented together with 5 invited papers reflect the key approaches that have been developed for subspace identification and feature selection using dimension reduction techniques, subspace methods, random projection methods, among others.

After the great expansion of genome-wide association studies, their scientific methodology and, notably, their data analysis has matured in recent years, and they are a keystone in large epidemiological studies. Newcomers to the field are confronted with a wealth of data, resources and methods. This book presents current methods to perform informative analyses using real and illustrative data with established bioinformatics tools and guides the reader through the use of publicly available data. Includes clear, readable programming codes for readers to reproduce and adapt to their own data. Emphasises extracting biologically meaningful associations between traits of interest and genomic, transcriptomic and epigenomic data Uses up-to-date methods to exploit omic data Presents methods through specific examples and computing sessions Supplemented by a website, including code, datasets, and solutions

Best-Practice: Webprojekte bringen hohen wirtschaftlichen Erfolg, wenn sie gelingen. Dazu bedarf es vor allem eines speziellen Projektmanagements. Dieses Handbuch fuhrt Projektleiter und Entscheider zum Erfolg: effektive Managementmethoden und Projektkommunikation, Fallstricke, heikle Projektsituationen, rechtliche Rahmenbedingungen (insbes. Internetrecht). Das Autorenteam aus erfahrenen Managern und Fachexperten stellt Best-Practices aus der Sicht von Kunden und Dienstleistern vor. Ein Buch fur Projektleiter, Entscheider, Lehrende und Studierende (E-Business, Informatik, Design). Erfolgreiche Managementmethoden in 2., uberarbeiteter Auflage."

No book is born in a vacuum. There must always be somebody who needs the book, somebody who will read and use it, and somebody who will write it. I walked with the idea of this book for a long time. However, its final concept came into reality during my lectures, in February 2005, at the Universiti Malaysia Sabah in Borneo. I realized that my students needed a bit more than just my lectures. They needed a text that they could follow during lab sessions or after classes so they could learn at any time, at their own pace. Therefore, I decided to write a small book with just a few chapters covering the different areas of applying the Computer Algebra System called MuPAD in different areas of mathematics. I intended each chapter to be short enough to be covered in a reasonably short time, about 2 to 4 hours. Another important objective was to have each chapter completely independent of the others, so that the readers could easily select and read the chapters that they needed the most, without being forced to read the whole book. There was one obstacle for such a concept-the large number of graphics I used to visualize mathematics. Therefore, I finally decided to write a separate chapter covering the major concepts of MuPAD graphics. The graphics chapter, together with the introductory chapter, forms the base for all the remaining chapters.