Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, Lévy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.

Discover how to create compelling, interactive dashboards efficiently using SAP BusinessObjects Dashboards 4.0 (formerly Xcelsius). In this comprehensive cookbook, learn step-by-step recipes that guide you through practical tasks leveraging the tool's advanced features like dynamic visibility and live data connections. What this Book will help me do Master the use of Dashboard Design's spreadsheet and data-driven components to efficiently create professional dashboards. Learn various data visualization techniques to present data clearly and effectively within your dashboards. Implement dynamic interactivity and control logic using features like Dynamic Visibility to enhance dashboard usability. Understand how to connect dashboards to live data sources for up-to-date and real-time business insights. Explore and utilize additional Dashboard Design features and add-ons to customize and extend the capabilities of your dashboards. Author(s) The author(s) of this book are seasoned professionals in SAP BusinessObjects Dashboards and enterprise dashboard design. With years of experience in teaching and applying these tools in practical settings, they aim to demystify complex dashboarding concepts and empower professionals to build impactful visualizations. Who is it for? This book is targeted at developers and business professionals who wish to sharpen their skills in dashboard creation using SAP BusinessObjects Dashboards 4.0. Readers should have a basic understanding of dashboards and some experience with Excel to benefit from this content. It's ideal for those new to SAP Dashboard Design seeking a comprehensive and practical guide.

Statistics in Education and Psychology aims to develop a coherent, logical and comprehensive outlook towards statistics. The subject involves a wide range of observations, measurements, tools, techniques and data analysis. This book covers diverse topics like measures of central tendency, measures of variability, the correlation method, normal probability curve (NPC), significance of difference of means, analysis of variance, non-parametric chi-square, standard score and T-score.

A must-have resource for anyone preparing for the version 2.0 of the CBAP exam As organizations look to streamline their production models, the need for qualified and certified business analysts is growing. The Certified Business Analyst Professional (CBAP) certification is the only certification for this growing field and this study guide is an essential step towards preparation for the CBAP exam. With this resource, you ll benefit from coverage of both the CBAP as well as the CCBA (Certification in Competency in Business Analysis) exam. Each chapter covers the Business Analysis standards and best practices and includes a list of exam topics covered, followed by in-depth discusses of those objectives. Real-world, hands-on scenarios help take the learning process a step further. Covers Version 2 of the Business Analyst Body of Knowledge (BABOK) Offers invaluable preparation for both the CBAP and CCBA exams Includes a list of exam topics and presents detailed discussions of each objective Features real-world scenarios, best practices, key terms, and a wide range of helpful topics that will prepare you for taking the exams Shares practice exam questions, topic summaries, and exam tips and tricks, all aimed at providing a solid foundation for achieving exam success This valuable study guide provides you with the preparation you need to confidently take the CBAP and CCBA exams.

This unique book-and-video package introduces SharePoint® 2010 Business Intelligence Learn to build and deliver SharePoint BI applications Written by a team of leading SharePoint and Business Intelligence (BI) experts, this unique book-and-video package shows you how to successfully build and deliver BI applications using SharePoint 2010. Assuming no previous SharePoint experience, the authors deliver a clear explanation of what SharePoint will do for your BI and information management capabilities. Each lesson in the book is reinforced with a helpful tutorial on the video and cover topics such as interactive reporting with Excel, document sharing for collaborative reporting, and controlling data sources. As you learn best practices for configuring and securing SharePoint 2010 BI applications and planning and implementing your SharePoint BI project plan, you'll be well on your way to gaining a solid foundation of understanding and working with SharePoint 2010 and BI. Provides an invaluable training book-and-video package that takes you through building and delivering BI applications using SharePoint 2010 Features an accompanying video tutorial for each lesson covered in the book, along with a "Try It" section at the end of each lesson Covers interactive reporting with excel Covers Power Pivot advanced analytics Details report and document sharing for collaborative reportingShows how to use SharePoint lists and libraries for data sources repositories in your BI projects Explains how to control data sources, reports and business intelligence content with permissions and workflow approvals. With this unique book-and-video combo, you'll be well on your way to successfully building and delivering BI applications using SharePoint 2010.

The fun and easy way to get down to business with statistics Stymied by statistics? No fear ? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

Maintaining its accessible approach to circuit analysis, the tenth edition includes even more features to engage and motivate engineers. Exciting chapter openers and accompanying photos are included to enhance visual learning. The book introduces figures with color-coding to significantly improve comprehension. New problems and expanded application examples in PSPICE, MATLAB, and LabView are included. New quizzes are also added to help engineers reinforce the key concepts.

Statistical Analysis: Microsoft Excel 2010 “Excel has become the standard platform for quantitative analysis. Carlberg has become a world-class guide for Excel users wanting to do quantitative analysis. The combination makes Statistical Analysis: Microsoft Excel 2010 a must-have addition to the library of those who want to get the job done and done right.” —Gene V Glass, Regents’ Professor Emeritus, Arizona State University Use Excel 2010’s statistical tools to transform your data into knowledge Use Excel 2010’s powerful statistical tools to gain a deeper understanding of your data, Top Excel guru Conrad Carlberg shows how to use Excel 2010 to perform the core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including its new consistency functions. Along the way, you discover the most effective ways to use correlation and regression and analysis of variance and covariance. You see how to use Excel to test statistical hypotheses using the normal, binomial, t and F distributions. Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by an extensive set of web-based resources. • Master Excel’s most useful descriptive and inferential statistical tools • Tell the truth with statistics, and recognize when others don’t • Accurately summarize sets of values • View how values cluster and disperse • Infer a population’s characteristics from a sample’s frequency distribution • Explore correlation and regression to learn how variables move in tandem • Understand Excel’s new consistency functions • Test differences between two means using z tests, t tests, and Excel’s • Use ANOVA and ANCOVA to test differences between more than two means • Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha

This book explores the many provocative questions concerning the fundamentals of data analysis. It is based on the time-tested experience of one of the gurus of the subject matter. Why should one study data analysis? How should it be taught? What techniques work best, and for whom? How valid are the results? How much data should be tested? Which machine languages should be used, if used at all? Emphasis on apprenticeship (through hands-on case studies) and anecdotes (through real-life applications) are the tools that Peter J. Huber uses in this volume. Concern with specific statistical techniques is not of immediate value; rather, questions of strategy – when to use which technique – are employed. Central to the discussion is an understanding of the significance of massive (or robust) data sets, the implementation of languages, and the use of models. Each is sprinkled with an ample number of examples and case studies. Personal practices, various pitfalls, and existing controversies are presented when applicable. The book serves as an excellent philosophical and historical companion to any present-day text in data analysis, robust statistics, data mining, statistical learning, or computational statistics.

Experience learning made easy—and quickly teach yourself how to create professional-looking business and technical diagrams with Visio 2010. With Step by Step, you set the pace—building and practicing the skills you need, just when you need them! Build a variety of charts and diagrams with Visio templates Draw organization charts, floor plans, flowcharts, and more Apply color, text, and themes to your Visio diagrams Use Visio shapes to link to, store, and visualize data Collaborate on diagrams with Microsoft SharePoint 2010 Create custom diagrams with your own shapes and templates Your Step by Step digital content includes: All the book's practice files—ready to download and put to work. Fully searchable online edition of this book—with unlimited access on the Web. Free online account required.

We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets.The web is full of "data-driven apps." Almost any e-commerce application is a data-driven application. There's a database behind a web front end, and middleware that talks to a number of other databases and data services (credit card processing companies, banks, and so on). But merely using data isn't really what we mean by "data science." A data application acquires its value from the data itself, and creates more data as a result. It's not just an application with data; it's a data product. Data science enables the creation of data products.

There's nothing wrong with “living in the now”—except that it's only part of our story. If we underuse or misuse our past, we're losing a tremendous source of wisdom and self-knowledge. The problem isn't the past itself, it's that we don't use it well. John Schuster exposes the many ways we ignore, distort, or become captive to our pasts and explains how we can tap into this underutilized treasure trove. He shows how to systematically recall key images and experiences that have influenced us, for good or ill, and reclaim the positive experiences—deepen our understanding of their impact and use them to guide our going forward. The negative experiences must be recast—reinterpreted so that they no longer lessen our possibilities but rather serve to expand our understanding of who we are and what we can be. Schuster's enlightening and entertaining stories as well as simple and compelling techniques will enable you to make your past sing and play and work for you.

This book presents the continual reassessment method (CRM) as a tool for dose-finding studies. With a focus on the implementation and practice of the CRM and its variations, it explains how the CRM may be calibrated and extended to suit common clinical settings.

Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data. Also the results of measurements can be best described by using fuzzy numbers and fuzzy vectors respectively. Statistical analysis methods have to be adapted for the analysis of fuzzy data. In this book, the foundations of the description of fuzzy data are explained, including methods on how to obtain the characterizing function of fuzzy measurement results. Furthermore, statistical methods are then generalized to the analysis of fuzzy data and fuzzy a-priori information. Key Features: Provides basic methods for the mathematical description of fuzzy data, as well as statistical methods that can be used to analyze fuzzy data. Describes methods of increasing importance with applications in areas such as environmental statistics and social science. Complements the theory with exercises and solutions and is illustrated throughout with diagrams and examples. Explores areas such quantitative description of data uncertainty and mathematical description of fuzzy data. This work is aimed at statisticians working with fuzzy logic, engineering statisticians, finance researchers, and environmental statisticians. It is written for readers who are familiar with elementary stochastic models and basic statistical methods.

Business Research Methods provides students with the knowledge, understanding and necessary skills to complete a business research. The reader is taken step-by-step through a range of contemporary research methods, while numerous worked examples and real-life case studies bring to life the realities of undertaking these researchs. Emphasis on data analysis is the key strength of this book. The book uses the latest software packages: MS Excel (2007), SPSS 17 and Minitab 15 to solve statistical data analysis. The complexity of multivariate analysis is also dealt with the help of these three softwares.

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author

This Element is an excerpt from Overhauling America's Healthcare Machine: Stop the Bleeding and Save Trillions (9780132173254) by Douglas A. Perednia. Available in print and digital formats. We’re paying more for healthcare than anyone else on in the world. Are we really getting what we’re paying for? To justify the status quo, politicians, insurers, and the media say many stupid things--as when they remind us we have the “best healthcare in the world.” The implication: We’re getting what we’re paying for, and the high price is simply the cost of being #1. But is this really true? Most of these pronouncements are consistently, suspiciously vague....

How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, you learn how to collect online data, massage it into a reasonable form, and work with it using R facilities to interact with web servers, parse HTML and XML, and more. Rather than use canned sample data, you'll plot and analyze current home foreclosure auctions in Philadelphia. This practical mashup exercise shows you how to access spatial data in several formats locally and over the Web to produce a map of home foreclosures. It's an excellent way to explore how the R environment works with R packages and performs statistical analysis. Parse messy data from public foreclosure auction postings Plot the data using R's PBSmapping package Import US Census data to add context to foreclosure data Use R's lattice and latticeExtra packages for data visualization Create multidimensional correlation graphs with the pairs() scatterplot matrix package

The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining Techniques in the late 1990s, data mining was just starting to move out of the lab and into the office and has since grown to become an indispensable tool of modern business. This new edition—more than 50% new and revised—is a significant update from the previous one, and shows you how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics such as preparing data for analysis and creating the necessary infrastructure for data mining at your company. Features significant updates since the previous edition and updates you on best practices for using data mining methods and techniques for solving common business problems Covers a new data mining technique in every chapter along with clear, concise explanations on how to apply each technique immediately Touches on core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, survival analysis, and more Provides best practices for performing data mining using simple tools such as Excel Data Mining Techniques, Third Edition covers a new data mining technique with each successive chapter and then demonstrates how you can apply that technique for improved marketing, sales, and customer support to get immediate results.

R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression. You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's , which contains more than 200 recipes for R that you'll find useful once you move beyond the basics. R Cookbook