Statisticians and researchers will find this book auseful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with the SAS System. Practical examples from a broad range of applications illustrate the use of the FREQ, LOGISTIC, GENMOD, and CATMOD procedures in a variety of analyses. Other procedures discussed include the PHREG and NPAR1WAY procedures. Topics discussed include assessing association in contingency tables and sets of tables, logistic regression and conditional logistic regression, weighted least squares modeling, repeated measurements analyses, loglinear models, and bioassay analysis. The second edition has been revised for use with Version 8 of the SAS System. New topics include additional exact tests, generalized estimating equations, use of the CLASS statement in the LOGISTIC procedure, exact logistic regression using the LOGISTIC procedure, and comparisons of the use of subject-specific models versus population-averaged models. Supports releases 6.07 and higher of SAS software.

Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. The book is written by renowned experts in the field and offers valuable background information for a wide audience.

Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics is a practical, up-to-date introduction to statistics—for everyone! Thought you couldn’t learn statistics? You can—and you will! One easy step at a time, this fully updated book teaches you all the statistical techniques you’ll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator. This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional “Equation Blackboard” sections reveal the mathematical foundations of statistics right before your eyes! You’ll learn how to: Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3 Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses with Z, t, chi-square, ANOVA, and other techniques Perform powerful regression analysis and modeling Use multiple regression to develop models that contain several independent variables Master specific statistical techniques for quality and Six Sigma programs About the Web Site Download practice files, templates, data sets, and sample spreadsheet models—including ready-to-use solutions for your own work! http://www.informit.com/title/9780137010592

New and experienced SAS users who want to prepare for the Base Programming for SAS 9 exam will find the SAS Certification Prep Guide: Base Programming for SAS 9, Second Edition, to be an invaluable, convenient, and comprehensive resource that covers all of the objectives tested on the exam. Major topics include importing and exporting raw data files, creating and modifying SAS data sets, and identifying and correcting data syntax and programming logic errors. You will also become familiar with the enhancements and new functionality that are available in SAS 9. Each chapter includes a quiz on the chapter's contents, and the book includes a free CD-ROM with tutorials, practice data, and sample programs to further reinforce and test your SAS skills. This guide and the accompanying CD-ROM provide you with a solid study resource as well as a go-to reference for your library.

Based on real-world applications, Analyzing and Interpreting Continuous Data Using JMP: A Step-by-Step Guide, by Jose Ramirez, Ph.D., and Brenda S. Ramirez, M.S., combines statistical instructions with a powerful and popular software platform to solve common problems in engineering and science. In the many case studies provided, the authors clearly set up the problem, explain how the data were collected, show the analysis using JMP, interpret the output in a user-friendly way, and then draw conclusions and make recommendations. This step-by-step format enables users new to statistics or JMP to learn as they go, but the book will also be helpful to those with some familiarity with statistics and JMP. The book includes a foreword written by Professor Douglas C. Montgomery.

All-in-One is All You Need! Get complete coverage of all the material included on the International Institute of Business Analysis CBAP exam inside this comprehensive resource. Written by industry expert, trainer, and project management consultant Joseph Phillips, this authoritative exam guide fully covers the Guide to the Business Analyst Body of Knowledge (BABOK). You'll find learning objectives at the beginning of each chapter, exam tips, practice exam questions, and in-depth explanations. Designed to help you pass the CBAP exam with ease, this definitive volume also serves as an essential on-the-job reference. CBAP Certified Business Analysis Professional All-in-One Exam Guide covers all exam topics, including: Business analysis planning and monitoring Eliciting requirements Managing requirements communication Working as an enterprise business analyst Analyzing and documenting project requirements Assessing and validating project solutions Managing projects The CD-ROM features Two full practice exams Video training from the author Complete electronic book

Gnuplot in Action is the first comprehensive introduction to gnuplot—from the basics to the power features and beyond. Besides providing a tutorial on gnuplot itself, it demonstrates how to apply and use gnuplot to extract intelligence from data. Particular attention is paid to tricky or poorly-explained areas. You will learn how to apply gnuplot to actual data analysis problems. This book looks at different types of graphs that can be generated with gnuplot and will discuss when and how to use them to extract actual information from data. About the Technology Statistical data is only as valuable as your ability to analyze, interpret, and present it in a meaningful way. Gnuplot is the most widely used program to plot and visualize data for Unix/Linux systems and it is also popular for Windows and the Mac. It's open-source (as in free!), actively maintained, stable, and mature. It can deal with arbitrarily large data sets and is capable of producing high-quality, publication-ready graphics. So far, the only comprehensive documentation available about gnuplot is the online reference documentation, which makes it both hard to get started and almost impossible to get a complete overview over all of its features. If you've never tried gnuplot—or have found it tough to get your arms around—read on. About the Book One of gnuplot's main advantages is that it requires no programming skills nor knowledge of advanced mathematical or statistical concepts. Gnuplot in Action assumes you have no previous knowledge of either gnuplot or statistics and data analysis. The books starts out with basic gnuplot concepts, then describes in depth how to get a graph ready for final presentation and to make it look "just right" by including arrows, labels, and other decorations. Next the book looks at advanced concepts, such as multi-dimensional graphs and false-color plots—powerful features for special purposes. The author also describes advanced applications of gnuplot, such as how to script gnuplot so that it can run unattended as a batch job, and how to call gnuplot from within a CGI script to generate graphics for dynamic websites on demand. What's Inside Creating graphs with gnuplot Data transformations and filters Preparing/polishing graphs for final presentation Publishing graphs in print or on the Web Using gnuplot's power features Gnuplot scripting and programming Types of graphs and when to use them Techniques of graphical analysis How to build, install, and develop for gnuplot Command and Option reference organized by concept About the Reader Gnuplot in Action makes gnuplot easy for anyone who needs to do data analysis, but doesn't have an education in analytical tools and methods. It's perfect for DBAs, programmers, and performance engineers; business analysts and MBAs; and Six-Sigma Black Belts and process engineers. About the Author Philipp K. Janert is Chief Consultant at Principal Value, LLC. He has been a gnuplot user for more than 15 years and regards it as one of the indispensable tools in his toolbox. He has worked for small start-ups and in large corporate environments, both in the US and overseas, including several years at Amazon.com, where he initiated and led several projects to improve Amazon's order fulfillment processes. Philipp K. Janert has written about software and software development for the O'Reilly Network, IBM developerWorks, IEEE Software, and Linux Magazine. He holds a Ph.D. in Theoretical Physics from the University of Washington. Visit his website at www.principal-value.com. Quotes Knee-deep in data? This is your guidebook to exploring it with gnuplot. - Austin King, Mozilla Sparkles with insight about visualization, image perception, and data exploration. - Richard B. Kreckel, GiNaC.de Incredibly useful for beginners - indispensable for advanced users. - Mark Pruett, Systems Architect Dominion Bridges the gap between gnupolt's reference manual and real-world problems. - Mitchell Johnson, Border Stylo A Swiss Army knife for plotting data. - Nishanth Sastry, Computer Laboratory, University of Cambridge/IBM

IBM Cognos 8 Planning is a powerful tool for creating, managing, and deploying business planning models effectively. This book guides you through the core concepts and practical steps required to master Cognos Planning, from the basics of model creation with Analyst to web deployment using Contributor. With a step-by-step approach, you'll learn everything needed to handle real-world projects. What this Book will help me do Understand the entire model development process in IBM Cognos 8 Planning, enabling you to plan effectively. Use Analyst tools to precisely define and manipulate data structures for seamless model integration. Master the creation of Contributor applications to collect and manage user input in a collaborative environment. Learn automation techniques to streamline common tasks, improving efficiency in planning workflows. Integrate IBM Cognos Planning with BI tools to turn planning insights into actionable business intelligence. Author(s) This book is collaboratively written by three seasoned Cognos experts, who bring over 25 years of professional experience in delivering Cognos solutions to businesses globally. Their pragmatic approach and deep knowledge ensure a resource written with clarity and effectiveness, sharing valuable insights gained from real-world implementations. Their passion is to empower learners. Who is it for? This book is ideal for developers starting with IBM Cognos Planning, or transitioning from another tool. If you're eager to design effective planning models while learning the practicalities of Cognos Planning, this guide provides foundational knowledge and actionable insights. Perfect for beginners seeking thorough and straightforward learning.

Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to: Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

Business Statistics offers readers a foundation in core statistical concepts using a perfect blend of theory and practical application. This book presents business statistics as value added tools in the process of converting data into useful information. The step-by-step approach used to discuss three main statistical software applications, MS Excel, Minitab, and SPSS, which are critical tools for decision making in the business world, makes this book extremely user friendly. This book is highly relevant for students and practising managers.

Do you really understand your online presence? Are you confident that visitors can use your website? Do you know their motivations? How do online communities perceive your company? To innovate and adapt your business quickly, you must know the answers to these questions. Complete Web Monitoring demonstrates how to measure every aspect of your web presence -- including analytics, backend performance, usability, communities, customer feedback, and competitive analysis -- whether you're running an e-commerce site, a community, a media property, or a Software-as-a-Service company. This book's concrete examples, clear explanations, and practical recommendations make it essential for anyone who runs a website. With this book you will: Discover how visitors use and interact with your site through web analytics, segmentation, conversions, and user interaction analysis Find out your market's motivations with voice-of-the-customer research Measure the health and availability of your website with synthetic testing and real-user monitoring Track communities related to your online presence, including social networks, forums, blogs, microblogs, wikis, and social news aggregators Understand how to assemble this data into clear reports tailored to your organization and audience You can't fix what you don't measure. Complete Web Monitoring shows you how to transform missed opportunities, frustrated users, and spiraling costs into online success. "This is a very comprehensive view of just about everything one needs to know about how websites work and what one needs to know about them. I'd like to make this book required reading for every employee at Gomez."-- Imad Mouline, CTO of Gomez

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics. Rather than getting bogged down in proofs and algorithms, probabilistic methods used for biological information and Bayesian networks are explained in an accessible way using applications and case studies. The many useful applications of Bayesian networks that have been developed in the past 10 years are discussed. Forming a review of all the significant work in the field that will arguably become the most prevalent method in biological data analysis. Unique coverage of probabilistic reasoning methods applied to bioinformatics data--those methods that are likely to become the standard analysis tools for bioinformatics. Shares insights about when and why probabilistic methods can and cannot be used effectively; Complete review of Bayesian networks and probabilistic methods with a practical approach.

The world of learning and performance has changed significantly since the first edition of First Things Fast was published more than a decade ago. This thoroughly revised and updated second edition of the best-selling classic recognizes a world chock-full of technology, economic strains, and opportunities. How do learning and performance professionals plan in this shifting context? How do they take advantage of new human and Internet-based resources? How do they bring their recommendations forward and add more value, no matter where they work? These questions are addressed throughout this new edition. This important resource is a practical guide that is filled with job aids, design templates, and examples offering step-by-step guidance to the basics of performance analysis. This new edition includes: New questions and templates that reflect the shift of learning and support from the classroom to the workplace, and the blends that provide learning and support in both environments Fresh approaches for using wikis, blogs, and online surveys to gather information Innovative ideas for tapping into the power of social networking and the possibilities presented for analysts Information on the critical link between analysis and evaluation and new guidelines for both activities A wealth of new illustrative case examples Insightful commentaries from successful leaders in the field who explain how they use analysis to advance individual and organizational strategy "Allison Rossett combines thought leadership for the profession with practical guidance. This book, the second edition of a classic in the field, is filled with proven practices and ready-to-use tools making this a resource you'll use frequently." -Dana Gaines Robinson, Coauthor, Performance Consulting ANDSTRATEGIC BUSINESS PARTNER "What I appreciate about this book is that it is a straightforward, practical guide to planning, and it embraces new technology and the convergence of learning and work." -Nancy J. Lewis, Vice President and Chief Learning Officer, ITT Corporation

The SAS Certification Prep Guide: Advanced Programming for SAS 9, Second Edition, prepares you to take the Advanced Programming for SAS 9 exam. Major topics include SQL processing with SAS, the SAS macro language, advanced SAS programming techniques, and optimizing SAS programs. You will also become familiar with the enhancements and new functionality that are available in SAS 9. Experienced SAS users who want to prepare for this exam will find this guide to be an invaluable, convenient, and comprehensive resource that covers all of the objectives tested on the exam. The text contains quizzes that enable you to test your understanding of material in each chapter. Additionally, solutions to all quizzes are included at the back of the book. Candidates must earn the SAS Certified Base Programmer Credential for SAS 9 before taking the SAS Advanced Programming for SAS 9 exam.

This article demonstrates how the realworld data is imported, managed, visualized, and analyzed within the R statistical framework. Presented as a spatial mashup, this tutorial introduces the user to R packages, R syntax, and data structures. The user will learn how the R environment works with R packages as well as its own capabilities in statistical analysis. We will be accessing spatial data in several formats-html, xml, shapefiles, and text-locally and over the web to produce a map of home foreclosure auctions and perform statistical analysis on these events.

You too can understand the statistics of life, even if you're math-challenged! What do you need to calculate? Manufacturing output? A curve for test scores? Sports stats? You and Excel can do it, and this non-intimidating guide shows you how. It demystifies the different types of statistics, how Excel functions and formulas work, the meaning of means and medians, how to interpret your figures, and more — in plain English. Getting there — learn how variables, samples, and probability are used to get the information you want Excel tricks — find out what's built into the program to help you work with Excel formulas Playing with worksheets — get acquainted with the worksheet functions for each step Graphic displays — present your data as pie graphs, bar graphs, line graphs, or scatter plots What's normal? — understand normal distribution and probability Hyping hypotheses — learn to use hypothesis testing with means and variables When regression is progress — discover when and how to use regression for forecasting What are the odds — work with probability, random variables, and binomial distribution Open the book and find: Ten statistical and graphical tips and traps The difference between descriptive and inferential statistics Why graphs are good How to measure variations What standard scores are and why they're used When to use two-sample hypothesis testing How to use correlations Different ways of working with probability

Bringing together all the relevant material to impart a clear understanding of how to analyze ROC curves, this book covers the fundamental theory as well as various special topics. It provides illustrative examples of the major methodological developments and includes as much of the mathematical theory as necessary without making the treatment too dense. The authors survey the uses made of the methodology across a range of different areas, from atmospheric science and geoscience to experimental psychology and sociology. They also list a number of websites from which software implementing the various techniques can be downloaded.

Pro SQL Server 2008 Analytics provides everything you need to know to develop sophisticated and visually appealing sales and marketing dashboards using SQL Server 2008 and to integrate those dashboards with SharePoint, PerformancePoint, and other key Microsoft technologies.

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written "By Practitioners for Practitioners" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book

Yahoo! Web Analytics teaches readers how to collect data, report on that data, and derive useful insights using Yahoo!’s free Web analytics tool. This detailed resource from Yahoo!’s Director of Data Insights discusses the why of Web analytics as well as the how while revealing secrets and tricks not documented elsewhere. The thorough book also offers step-by-step instructions and advanced techniques on everything from using data collection groupings to creating compelling data visualizations. It’s a must-read for all analytics professionals and those who want to be.

Praise for Google Speaks "It's not hard to see that Google is a phenomenal company....At Geico, we pay these guys a whole lot of money for this and that key word." – Warren Buffett "Google rocks. It raised my perceived IQ by about 20 points." – Wes Boyd, President of Moveon.Org "Google is my rapid response research assistant. It's the Swiss Army knife of information retrieval." – Lloyd Grove, columnist, Portfolio.com "Who's afraid of Google? Everyone." – Wired magazine "Writers of the past had absinthe, whiskey or heroin. I have Google." – Michael Chabon, author of The Amazing Adventures of Kavalier and Clay

A budget is a financial action plan for an organization. This guide will teach you how to: - Forecast future business results, such as sales volume, revenues, and expenses - Reconcile those forecasts to organizational goals - Obtain organizational support for your proposed budget - Fine-tune your budget over time

In Just Enough SAS: A Quick-Start Guide to SAS for Engineers, Robert Rutledge provides "just enough" instruction on a broad variety of topics so that a new SAS user can become productive very quickly. Although most of the material in the book is geared toward a general audience, engineers will especially benefit from the focus on analysis of quality and reliability data found in Chapters 9 and 10 as well as in the examples throughout the book. This comprehensive text, prepared using SAS 9.2, can be used both as a tutorial for getting started with SAS and as a reference for details that even experienced SAS users find themselves looking up over and over again. In addition, the companion code to the book includes a set of commonly used utility macros that allow SAS users to wield maximum power with minimal effort. A complete bibliography provides readers with numerous opportunities for further learning.Topics addressed include bringing data into SAS from a spreadsheet or relational database, plotting data with ODS Statistical Graphics, summarizing and manipulating data for analysis using DATA steps and procedures, publishing results on the Internet and in PDF and RTF, creating appropriate plots of data using PROC GPLOT and PROC GCHART and the newer statistical graphics procedures, with particular emphasis on quality control and reliability analysis - key areas for engineers working in high-tech manufacturing and development, and using the SAS macro language to streamline and automate data analysis projects.New SAS users will find Rutledge's book useful as a quick-start guide to doing meaningful work with SAS, and experienced users will find numerous tips and techniques for improving and extending their coding methods.

Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure, such as the prediction of protein structure and how proteins carry out cellular functions, and how the application of bioinformatics to these life science issues can improve healthcare by accelerating drug discovery and development. Designed primarily as a reference, the first edition nevertheless saw widespread use as a textbook in graduate and undergraduate university courses dealing with the theories and associated algorithms, resources, and tools used in the analysis, prediction, and theoretical underpinnings of DNA, RNA, and proteins. This new edition contains not only thorough updates of the advances in structural bioinformatics since publication of the first edition, but also features eleven new chapters dealing with frontier areas of high scientific impact, including: sampling and search techniques; use of mass spectrometry; genome functional annotation; and much more. Offering detailed coverage for practitioners while remaining accessible to the novice, Structural Bioinformatics, Second Edition is a valuable resource and an excellent textbook for a range of readers in the bioinformatics and advanced biology fields. Praise for the previous edition: "This book is a gold mine of fundamental and practical information in an area not previously well represented in book form." —Biochemistry and Molecular Education "... destined to become a classic reference work for workers at all levels in structural bioinformatics...recommended with great enthusiasm for educators, researchers, and graduate students." —BAMBED "...a useful and timely summary of a rapidly expanding field." —Nature Structural Biology "...a terrific job in this timely creation of a compilation of articles that appropriately addresses this issue." —Briefings in Bioinformatics

Written by leading market risk academic, Professor Carol Alexander, Value-at-Risk Models forms part four of the Market Risk Analysis four volume set. Building on the three previous volumes this book provides by far the most comprehensive, rigorous and detailed treatment of market VaR models. It rests on the basic knowledge of financial mathematics and statistics gained from Volume I, of factor models, principal component analysis, statistical models of volatility and correlation and copulas from Volume II and, from Volume III, knowledge of pricing and hedging financial instruments and of mapping portfolios of similar instruments to risk factors. A unifying characteristic of the series is the pedagogical approach to practical examples that are relevant to market risk analysis in practice. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study. Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the the accompanying CD-ROM . Empirical examples and case studies specific to this volume include: Parametric linear value at risk (VaR)models: normal, Student t and normal mixture and their expected tail loss (ETL); New formulae for VaR based on autocorrelated returns; Historical simulation VaR models: how to scale historical VaR and volatility adjusted historical VaR; Monte Carlo simulation VaR models based on multivariate normal and Student t distributions, and based on copulas; Examples and case studies of numerous applications to interest rate sensitive, equity, commodity and international portfolios; Decomposition of systematic VaR of large portfolios into standard alone and marginal VaR components; Backtesting and the assessment of risk model risk; Hypothetical factor push and historical stress tests, and stress testing based on VaR and ETL. "The ebook version does not provide access to the companion files".