Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.

Practical SharePoint 2010 Information Architecture is a guide and tool set for planning and documenting the scope, navigational taxonomy, document taxonomy, metadata, page layouts and workflows for a successful SharePoint 2010 project. If you have been tasked with delivering an intranet for collaboration, document management or as a corporate portal, your only chance for success is to get all of these elements right, and then to make sure that you and your stakeholders are all on the same page. SharePoint 2010 can be dangerous to your career: Expectations are often set very high, and not enough time is invested in understanding how those expectations can be met. Many SharePoint 2010 projects fail to meet their initial goals. Practical SharePoint 2010 Information Architecture arms you with proven tools that will help you to ensure that there is an agreement on the goals and scope, and how to then efficiently design your taxonomies.With author Ruven Gotz' work (with contributions from Michal Pisarek and Sarah Haase) at your side, You will learn how to educate your users on what metadata is and why it is important so you can build SharePoint 2010 solutions that exceed the expectations of your users. This book: Gives you practical approaches that have been proven in the field Explains how to use visual mind mapping tools and diagramming tools that provide clarity to all stakeholders Gives you techniques on how to teach and motivate your users for adoption and success What you'll learn Understand metadata and how to explain it to your stakeholders Plan and run requirements gathering workshops Apply mind mapping techniques for designing navigation Run taxonomy workshops that result in practical information architecture Map process workflows and practical approaches for real-world implementation Build practical and lightweight governance and adoption plans Who this book is for

Practical SharePoint 2010 Information Architecture is not just for people whose job title is information architect. It is also for business analysts, project managers, IT managers, or business managers who have been tasked with delivering a SharePoint 2010 solution. Taking the lead on a SharePoint 2010 project can be very difficult because it is such a large platform, and there is so much conflicting information available. This book is for people who need a guide that has an end-to-end approach that will carry them through the entire planning and design process. Table of Contents Preparing for Successful Outcomes Introduction to Mind Mapping The Magic of Metadata Site Navigation and Structure Wireframing for SharePoint Complexity, Wickedness and Dialogue Mapping Business Process Mapping The Art of Creating Business Process Solutions Success with Search Governance, Adoption and Training Building Environments for Testing/Prototyping in the Cloud Conclusion

With Practical SharePoint 2010 Branding and Customization, SharePoint branding expert Erik Swenson cuts through the fluff and discusses accessible, easy-to-understand consulting and processes to create esthetically pleasing, highly usable branded and customized SharePoint websites, both internally and externally. Designed to be a quick reference, how-to guide that lets you dive straight into the task at hand, you'll find this book's attention to detail and pragmatism make it an attractive companion during your branding experience. SharePoint 2010 deployments are more common than ever, as is the desire to make the environment branded and attractive to both internal and external clients. However, since SharePoint is more than just a collection of web pages, customizing the look and feel and completing the process of branding the platform itself is complex and requires a knowledge of web development, web design techniques, and a familiarity with SharePoint administration--a curious niche, to be sure.And sometimes, you just need to make quick fixes, while at other times, building an entirely customized and branded environment is a multi-step process with lots of stakeholder buy-in and development time required. Whether you're interested in applying just a touch of style to a team site, or you're branding a public-facing Fortune 500 website based on SharePoint, Practical SharePoint 2010 Branding and Customization is the only book you'll need to quickly, easily, and efficiently brand and customize your environment. Bonus: Includes the SharePoint 2010 Branding Starter Kit This kit has everything you need to jumpstart successful and compelling designs. The kit includes a layered Adobe Photoshop file of a SharePoint 2010 site, two pre-built visual design examples, and a Visual Studio solution you can use to deploy either of the designs included. This starter kit is specifically prepared to save you substantial time kicking off your SharePoint branding project and to minimize potential roadblocks. These branding tools would cost you as much as $500 if purchased separately, but they're included with the purchase of this book at no additional charge Get started today.What you'll learn * Plan for branding projects, including creating wireframes and creative mockups as well as gathering requirements and estimation * Use cascading style sheets (CSS), master pages, page layouts, web parts and XSLT to customize branding * Deploy SharePoint branding to production servers using solution packages (WSP) Who this book is for This book is for anyone who works within SharePoint sites and wants to make changes to how those sites look, whether they're minor changes or wholesale branding and customization efforts. Table of Contents * Introduction to SharePoint 2010 Branding * Overview of UX/Branding Process * Gathering Branding Requirements * Creating the Visual Design * Setting Up Your Development Environment * Building the Design * Testing the Visual Build * Tips and Tricks * Tools and Resources Appendix CSS Reference Guide

Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples and a wide range of applications from various disciplines. The book introduces regression models, techniques for criticism and comparison, and a wide range of modelling issues before going into the vital area of hierarchical models, one of the most common applications of Bayesian methods. It deals with essentials of modelling without getting bogged down in complexity. The book emphasises model criticism, model comparison, sensitivity analysis to alternative priors, and thoughtful choice of prior distributions-all those aspects of the "art" of modelling that are easily overlooked in more theoretical expositions. More pragmatic than ideological, the authors systematically work through the large range of "tricks" that reveal the real power of the BUGS software, for example, dealing with missing data, censoring, grouped data, prediction, ranking, parameter constraints, and so on. Many of the examples are biostatistical, but they do not require domain knowledge and are generalisable to a wide range of other application areas. Full code and data for examples, exercises, and some solutions can be found on the book's website.

CRM Fundamentalsis a critical and comprehensive resource for executives and project leaders tasked with managingcustomer relationship management (CRM)initiatives. It provides an introduction to CRM and how it delivers value to organizations, and describes the process to build and execute a CRM roadmap successfullyincluding identifying goals, lining up the right people, planning projects, choosing software packages and consultants, managing the initial CRM implementation, and maintaining and evolving the program over time. Written by senior CRM consultants, CRM Fundamentalsincludes plenty of detailed, useful advice to help you get the most value from your CRM investments and to avoid common pitfalls associated with CRM. What you'll learn The real issues surrounding implementation of CRM Processes, procedures and planning to make it work and on time An agile approach to creating a working CRM system Software and hardware suggestions for all levels of CRM implementation

Based on years of implementing CRM systems, the authors know the keys to success, the issues that can create problems and the steps needed to ensure the success of the project. Who this book is for

This book is perfect for executives interested in launching a new CRM program or managing and evolving an existing one.CRM Fundamentals will also benefit project managers leading CRM system selection or implementation projects. Table of Contents Introduction Components of CRMSuccess Building a CRM Roadmap Evaluating Software and Consultants Planning the Initial CRM Implementation Executing the Initial CRM Implementation Maintaining and Evolving CRM

• Plenty of examples and case studies utilize Mathematica 7's newest tools, such as dynamic manipulations and adaptive three-dimensional plotting.
• Emphasizes the breadth of Mathematica and the impressive results of combining techniques from different areas.
• Whenever possible, the book shows how Mathematica can be used to discover new things. Striking examples include the design of a road on which a square wheel bike can ride, the design of a drill that can drill square holes, and new and surprising formulas for p.
• Visualization is emphasized throughout, with finely crafted graphics in each chapter.
• All Mathematica code is included on a CD, saving the reader hours of typing.

Metrics are a hot topic. Executive leadership, boards of directors, management, and customers are all asking for data-based decisions. As a result, many managers, professionals, and change agents are asked to develop metrics, but have no clear idea of how to produce meaningful ones. Wouldn't it be great to have a simple explanation of how to collect, analyze, report, and use measurements to improve your organization? Metrics: How to Improve Key Business Results provides that explanation and the tools you'll need to make your organization more effective. Not only does the book explain the why of metrics, but it walks you through a step-by-step process for creating a report card that provides a clear picture of organizational health and how well you satisfy customer needs. Metrics will help you to measure the right things, the right way - the first time. No wasted effort, no chasing data. The report card provides a simple tool for viewing the health of your organization, from the outside in.You will learn how to measure the key components of the report card and thereby improve real measures of business success, like repeat customers, customer loyalty, and word-of-mouth advertising.This book: * Provides a step-by-step guide for building an organizational effectiveness report card * Takes you from identifying key services and products and using metrics, to determining business strategy * Provides examples of how to identify, collect, analyze, and report metrics that will be immediately useful for improving all aspects of the enterprise, including IT What you'll learn * Understand the difference between data, measures, information, and metrics * Identify root performance questions to ensure you build the right metrics * Develop meaningful and accurate metrics using concrete, easy-to-follow instructions * Avoid the high risks that come with collecting, analyzing, reporting, and using complex data * Formulate practical answers to data-based questions * Select and use the proper tools for creating, implementing, and using metrics * Learn one of the most powerful methods yet invented for improving organizational results Who this book is for Metrics: How to Improve Key Business Results was written for senior managers who need to improve key results.Equally, the book is for the department heads, middle managers, analysts, IT professionals, and change agents responsible for collecting, analyzing, and reporting metrics. Finally, it's for those who have to chase data and find meaningful answers to the interesting questions executives ponder. Table of Contents * Introduction: Who, What, Where, When, Why, and How You Use Metrics * Establishing a Common Language * Where to Begin: Planning a Good Metric * Using Metrics as Indicators * Using the Answer Key * Start with Effectiveness * Triangulation: Essential to Creating Effective Metrics * Expectations: How to View Data in a Meaningful Way * Creating and Interpreting the Metrics Report Card * Final Product: the Metrics Report Card * Employing Advanced Metrics * Creating the Service Catalog * Establishing Standards and Benchmarks * Respecting the Power of Metrics * Avoiding the Research Trap * Embracing Your Organization's Uniqueness * Appendix: Metrics Tools to Use and Useful Resources

This book presents the most interesting talks given at ISSE 2011 - the forum for the inter-disciplinary discussion of how to adequately secure electronic business processes. The topics include: - Cloud Computing & Enterprise Security Services - Awareness, Education, Privacy & Trustworthiness - Smart Grids, Mobile & Wireless Security - Security Management, Identity & Access Management - eID & eGovernment - Device & Network Security Adequate information security is one of the basic requirements of all electronic business processes. It is crucial for effective solutions that the possibilities offered by security technology can be integrated with the commercial requirements of the applications. The reader may expect state-of-the-art: best papers of the Conference ISSE 2011.

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

PowerPivot comprises a set of technologies for easy access to data mining and business intelligence analysis from Microsoft Excel and SharePoint. Power users and developers alike can create sophisticated, online analytic processing (OLAP) solutions using PowerPivot for Excel, and then share those solutions with other users via PowerPivot for SharePoint. Data can be pulled in from any of the leading database platforms, as well as from spreadsheets and flat files PowerPivot for Business Intelligence Using Excel and SharePointis your key to mastering PowerPivot. The book takes a scenario-based approach to showing you how to collect data, to mine that data through insightful analysis, and to draw conclusions that drive business performance. Each chapter in the book is focused on a specific challenge that you'll encounter when using PowerPivot. Each chapter takes you through a solution technique that's been proven in the real world. Covers the leading technology for bringing data analytics to the desktop Presents real-world solutions to real-world scenarios Written by a Microsoft Virtual Technical Specialist (VTS) for business intelligence What you'll learn Install and verify the PowerPivot software Integrated existing, available data to deliver business intelligence Leverage Time Intelligence to report change over time Write Data Analysis Expressions (DAX) to create custom measures Identify and implement solutions for role-playing dimensions Recognize and work-around PowerPivot's missing features Who this book is for

PowerPivot Solutions for Excel and SharePoint is aimed at information workers and data analysts who typically use Excel to drive business decisions. The book shows how you can apply PowerPivot to problems typically addressed through complicated and arcane spreadsheet techniques. Business people without the time and interest in learning Excel arcane will especially appreciate how PowerPivot enables them to easily create models and perform analysis far in advance of anything they could do using Excel alone. Table of Contents Getting Started with PowerPivot for Excel Hello World, PowerPivot Style Combining Data Sources Data Analysis Expressions A Method to the Madness Installing PowerPivot for SharePoint Collaboration, Version Control, and Management PowerPivot As a Data Source PowerPivot and SQL Server Reporting Services PowerPivot and Predictive Analytics Tips, Tricks, and Traps

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimising your code. By reading this book, you will learn: The difference between an object and its name, and why the distinction is important The important vector data structures, how they fit together, and how you can pull them apart using subsetting The fine details of functions and environments The condition system, which powers messages, warnings, and errors The powerful functional programming paradigm, which can replace many for loops The three most important OO systems: S3, S4, and R6 The tidy eval toolkit for metaprogramming, which allows you to manipulate code and control evaluation Effective debugging techniques that you can deploy, regardless of how your code is run How to find and remove performance bottlenecks The second edition is a comprehensive update: New foundational chapters: "Names and values," "Control flow," and "Conditions" comprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them Much deeper coverage of metaprogramming, including the new tidy evaluation framework use of new package like rlang (http://rlang.r-lib.org), which provides a clean interface to low-level operations, and purr (http://purrr.tidyverse.org/) for functional programming Use of color in code chunks and figures Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: Elegant Graphics for Data Analysis.

There has been dramatic growth in the development and application of Bayesian inference in statistics. Berger (2000) documents the increase in Bayesian activity by the number of published research articles, the number of books, andtheextensivenumberofapplicationsofBayesianarticlesinapplied disciplines such as science and engineering. One reason for the dramatic growth in Bayesian modeling is the availab- ity of computational algorithms to compute the range of integrals that are necessary in a Bayesian posterior analysis. Due to the speed of modern c- puters, it is now possible to use the Bayesian paradigm to 't very complex models that cannot be 't by alternative frequentist methods. To 't Bayesian models, one needs a statistical computing environment. This environment should be such that one can: write short scripts to de?ne a Bayesian model use or write functions to summarize a posterior distribution use functions to simulate from the posterior distribution construct graphs to illustrate the posterior inference An environment that meets these requirements is the R system. R provides a wide range of functions for data manipulation, calculation, and graphical d- plays. Moreover, it includes a well-developed, simple programming language that users can extend by adding new functions. Many such extensions of the language in the form of packages are easily downloadable from the Comp- hensive R Archive Network (CRAN)

A complete guide to Pentaho Kettle, the Pentaho Data lntegration toolset for ETL

This practical book is a complete guide to installing, configuring, and managing Pentaho Kettle. If you're a database administrator or developer, you'll first get up to speed on Kettle basics and how to apply Kettle to create ETL solutions--before progressing to specialized concepts such as clustering, extensibility, and data vault models. Learn how to design and build every phase of an ETL solution.Shows developers and database administrators how to use the open-source Pentaho Kettle for enterprise-level ETL processes (Extracting, Transforming, and Loading data)Assumes no prior knowledge of Kettle or ETL, and brings beginners thoroughly up to speed at their own paceExplains how to get Kettle solutions up and running, then follows the 34 ETL subsystems model, as created by the Kimball Group, to explore the entire ETL lifecycle, including all aspects of data warehousing with KettleGoes beyond routine tasks to explore how to extend Kettle and scale Kettle solutions using a distributed "cloud"

Get the most out of Pentaho Kettle and your data warehousing with this detailed guide--from simple single table data migration to complex multisystem clustered data integration tasks.

Improve your audit results and extend your capabilities with Mastering IDEAScript: The Definitive Guide

Run audit programs and data analysis projects with ease. Create a local automated audit system. Meet current audit standards. Do it all with Mastering IDEAScript, the official guide from CaseWare IDEA(R).

Designed to help the complete novice develop the skills required to write applications using IDEAScript, this resource starts with simple topics, progressively working up to more complex areas. It helps you understand what automation can help you do and set reasonable goals for working with IDEAScript.

Although basic familiarity with the IDEA(R) program is helpful in the use of this book's concepts, neither programming skills nor special equipment is required. Here, you'll find plain-English, easy-to-follow explanations for:

Creating your first IDEAScript application

Using the IDEAScript Editor

Writing code quickly and efficiently

Building complete applications without any code at all, using the Macro Recorder

Troubleshooting errors that occur in your application

Performing basic tasks, such as indexing, sorting, and closing your database

Finding information easily within databases

And much more

Along with a companion website containing all of the scripts found in this book, Mastering IDEAScript: The Definitive Guide is packed with practical techniques and rules of thumb to help you understand the workings of IDEAScript. The days of filling in forms and answering countless questions when running audit programs are over. From now on, let IDEAScript do the work

IDEA(R) is a leading provider of data analysis software targeted to auditors to use as a tool for fraud detection and internal control assessment. IDEA(R) software is used in sixteen languages in more than ninety countries, by major accounting firms, governments, and corporations in all industry sectors, as well as by universities as a teaching tool.

IDEA(R) is a registered trademark of CaseWare International Inc.

BRIDGES THE GAP BETWEEN SAS AND R, ALLOWING USERS TRAINED IN ONE LANGUAGE TO EASILY LEARN THE OTHER SAS and R are widely-used, very different software environments. Prized for its statistical and graphical tools, R is an open-source programming language that is popular with statisticians and data miners who develop statistical software and analyze data. SAS (Statistical Analysis System) is the leading corporate software in analytics thanks to its faster data handling and smaller learning curve. SAS for R Users enables entry-level data scientists to take advantage of the best aspects of both tools by providing a cross-functional framework for users who already know R but may need to work with SAS. Those with knowledge of both R and SAS are of far greater value to employers, particularly in corporate settings. Using a clear, step-by-step approach, this book presents an analytics workflow that mirrors that of the everyday data scientist. This up-to-date guide is compatible with the latest R packages as well as SAS University Edition. Useful for anyone seeking employment in data science, this book: Instructs both practitioners and students fluent in one language seeking to learn the other Provides command-by-command translations of R to SAS and SAS to R Offers examples and applications in both R and SAS Presents step-by-step guidance on workflows, color illustrations, sample code, chapter quizzes, and more Includes sections on advanced methods and applications Designed for professionals, researchers, and students, SAS for R Users is a valuable resource for those with some knowledge of coding and basic statistics who wish to enter the realm of data science and business analytics.

Wie managen f hrende Unternehmen ihre Gesch ftsprozesse? Was sind die Grundlagen des Erfolgs? Basierend auf einer Untersuchung der Business-Process-Management-Praktiken (BPM) in 17 Unternehmen zeigt das Buch, wie in Best-Practice-Unternehmen Organisation und IT-Systeme optimal aufeinander abgestimmt werden, um die Kundenorientierung zu steigern, Kosten zu senken sowie Flexibilit t und Qualit t zu verbessern. Der Band enth lt eine Analyse der Erfolgsmuster, wichtige Umsetzungshinweise sowie einen Ausblick auf zuk nftige Entwicklungen des BPM.

The SharePoint user experience is critical in application architecture and user acceptance. Using tools available to all developers, Building the SharePoint User Experience will show you how to rebuild a SharePoint site, taking it all the way from the default outofthebox experience to your very own customized user experience.

Along the way you will receive a solid understanding of the SharePoint architecture that will enable you to take full advantage of the capabilities of SharePoint as a platform. This will allow you to tailor the SharePoint user experience to increase the value of solutions and to work more effectively with projects. And that, of course, leads to successful SharePoint solutions in your business that your users are happy to accept and use. What you'll learn Learn the tools needed to create effective and highly tailored user interfaces and experiences. Dissect an outofthebox site to learn how every user experience element is built. Master the core functions of sites, lists, content types, and fields. Build a site from scratch using tools available to everyone. Speed up development time by using little known tips and tricks. See how new skills can be applied to everyday tasks with simple exercises. Who this book is for

This book is for SharePoint developers who want to learn how to work with designers and other developers to create custom and tailored user experiences, including custom forms, content types, lists, fields, pages, and navigation that will better match your project's requirements. This is not a book for graphic designers--you'll find no Photoshop tips here Table of Contents Checking Your Gear for Departure Taking a Crash Course in XML Exploring Feature Basics and Not-So Basics Excavating the Site Evolving the Default User Experience What Lurks in the Forest of Lists? Encountering the Monsters in the Cave The Liquid Nitrogen of SharePoint Strolling Through Fields of Gold Intermission: The Mentality of a SharePoint Developer Starting Field Creating Your First Content Factory Accounting Gone Haywire Pages and Pages of Fun Our Empire United

Can artificial intelligence learn mathematics? The question is at the heart of this original monograph bringing together theoretical physics, modern geometry, and data science. The study of Calabi-Yau manifolds lies at an exciting intersection between physics and mathematics. Recently, there has been much activity in applying machine learning to solve otherwise intractable problems, to conjecture new formulae, or to understand the underlying structure of mathematics. In this book, insights from string and quantum field theory are combined with powerful techniques from complex and algebraic geometry, then translated into algorithms with the ultimate aim of deriving new information about Calabi-Yau manifolds. While the motivation comes from mathematical physics, the techniques are purely mathematical and the theme is that of explicit calculations. The reader is guided through the theory and provided with explicit computer code in standard software such as SageMath, Python and Mathematica to gain hands-on experience in applications of artificial intelligence to geometry. Driven by data and written in an informal style, The Calabi-Yau Landscape makes cutting-edge topics in mathematical physics, geometry and machine learning readily accessible to graduate students and beyond. The overriding ambition is to introduce some modern mathematics to the physicist, some modern physics to the mathematician, and machine learning to both.

Got questions about SAP Extended Warehouse Management? This configuration guide can help! You'll start by learning the ins and outs of SAP EWM setup: defining organizational structures, working with master data, and configuring settings. Then move on to business processes: goods receipt, goods issue, internal movement, shipping and receiving, and labor management. Get the most out of SAP EWM! Configuration: Find out how to map organizational structures, model the layout of your warehouse, and handle master data to successfully execute warehouse activities. Business Processes: Learn the details of inbound and outbound processing, shipping and receiving, inventory, quality management and monitoring, RF frameworks, and labor management. Integration: Discover how to integrate SAP EWM with both SAP ERP and other applications such as SAP Business Warehouse, SAP Global Trade Services, SAP RFID, and more. Highlights: Configuration Warehouse structure Master data Goods receipt and issue Internal movements Warehouse monitoring Quality management Cross-docking Material flow systems Kitting

R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.

Take your supply chain to the cloud! Walk through the SAP Integrated Business Planning applications-S&OP, demand, response and supply, demand-driven MRP, and inventory. Then learn to monitor and control these processes. See how to set up and use your SAP IBP system, from planning areas to key figures. With coverage of intelligent visibility, SAP IBP for demand-driven replenishment, and more, you can be sure you're getting the latest information on supply chain planning with SAP! Highlights include: 1) Planning model 2) Planning areas 3) Sales and operations planning (S&OP) 4) Demand planning and forecasting 5) Supply planning 6) Response planning 7) Inventory planning 8) Demand-driven replenishment 9) SAP Supply Chain Control Tower 10) Implementation methodology 11) Case studies

"Modeling with Data" fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results.

Ben Klemens introduces a set of open and unlimited tools, and uses them to demonstrate data management, analysis, and simulation techniques essential for dealing with large data sets and computationally intensive procedures. He then demonstrates how to easily apply these tools to the many threads of statistical technique, including classical, Bayesian, maximum likelihood, and Monte Carlo methods. Klemens's accessible survey describes these models in a unified and nontraditional manner, providing alternative ways of looking at statistical concepts that often befuddle students. The book includes nearly one hundred sample programs of all kinds. Links to these programs will be available on this page at a later date.

"Modeling with Data" will interest anyone looking for a comprehensive guide to these powerful statistical tools, including researchers and graduate students in the social sciences, biology, engineering, economics, and applied mathematics.