Free Mathematica 10 Update Included! Now available from www.wiley.com/go/magrab Updated material includes: - Creating regions and volumes of arbitrary shape and determining their properties: arc length, area, centroid, and area moment of inertia - Performing integrations, solving equations, and determining the maximum and minimum values over regions of arbitrary shape - Solving numerically a class of linear second order partial differential equations in regions of arbitrary shape using finite elements An Engineer's Guide to Mathematica enables the reader to attain the skills to create Mathematica 9 programs that solve a wide range of engineering problems and that display the results with annotated graphics. This book can be used to learn Mathematica, as a companion to engineering texts, and also as a reference for obtaining numerical and symbolic solutions to a wide range of engineering topics. The material is presented in an engineering context and the creation of interactive graphics is emphasized. The first part of the book introduces Mathematica's syntax and commands useful in solving engineering problems. Tables are used extensively to illustrate families of commands and the effects that different options have on their output. From these tables, one can easily determine which options will satisfy one's current needs. The order of the material is introduced so that the engineering applicability of the examples increases as one progresses through the chapters. The second part of the book obtains solutions to representative classes of problems in a wide range of engineering specialties. Here, the majority of the solutions are presented as interactive graphics so that the results can be explored parametrically. Key features: Material is based on Mathematica 9 Presents over 85 examples on a wide range of engineering topics, including vibrations, controls, fluids, heat transfer, structures, statistics, engineering mathematics, and optimization Each chapter contains a summary table of the Mathematica commands used for ease of reference Includes a table of applications summarizing all of the engineering examples presented. Accompanied by a website containing Mathematica notebooks of all the numbered examples An Engineer's Guide to Mathematica is a must-have reference for practitioners, and graduate and undergraduate students who want to learn how to solve engineering problems with Mathematica.

An accessible treatment of Monte Carlo methods, techniques, and applications in the field of finance and economics Providing readers with an in-depth and comprehensive guide, the Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics presents a timely account of the applicationsof Monte Carlo methods in financial engineering and economics. Written by an international leading expert in thefield, the handbook illustrates the challenges confronting present-day financial practitioners and provides various applicationsof Monte Carlo techniques to answer these issues. The book is organized into five parts: introduction andmotivation; input analysis, modeling, and estimation; random variate and sample path generation; output analysisand variance reduction; and applications ranging from option pricing and risk management to optimization. The Handbook in Monte Carlo Simulation features: An introductory section for basic material on stochastic modeling and estimation aimed at readers who may need a summary or review of the essentials Carefully crafted examples in order to spot potential pitfalls and drawbacks of each approach An accessible treatment of advanced topics such as low-discrepancy sequences, stochastic optimization, dynamic programming, risk measures, and Markov chain Monte Carlo methods Numerous pieces of R code used to illustrate fundamental ideas in concrete terms and encourage experimentation The Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics is a complete reference for practitioners in the fields of finance, business, applied statistics, econometrics, and engineering, as well as a supplement for MBA and graduate-level courses on Monte Carlo methods and simulation.

Bridge the big data gap with Microsoft Business Intelligence Tools for Excel Analysts The distinction between departmental reporting done by business analysts with Excel and the enterprise reporting done by IT departments with SQL Server and SharePoint tools is more blurry now than ever before. With the introduction of robust new features like PowerPivot and Power View, it is essential for business analysts to get up to speed with big data tools that in the past have been reserved for IT professionals. Written by a team of Business Intelligence experts, Microsoft Business Intelligence Tools for Excel Analysts introduces business analysts to the rich toolset and reporting capabilities that can be leveraged to more effectively source and incorporate large datasets in their analytics while saving them time and simplifying the reporting process. Walks you step-by-step through important BI tools like PowerPivot, SQL Server, and SharePoint and shows you how to move data back and forth between these tools and Excel Shows you how to leverage relational databases, slice data into various views to gain different visibility perspectives, create eye-catching visualizations and dashboards, automate SQL Server data retrieval and integration, and publish dashboards and reports to the web Details how you can use SQL Server's built-in functions to analyze large amounts of data, Excel pivot tables to access and report OLAP data, and PowerPivot to create powerful reporting mechanisms You'll get on top of the Microsoft BI stack and all it can do to enhance Excel data analysis with this one-of-a-kind guide written for Excel analysts just like you.

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification presents the statistical model identification framework that is needed to successfully apply wavelet networks as well as extensive comparisons of alternate methods. Providing a concise and rigorous treatment for constructing optimal wavelet networks, the book links mathematical aspects of wavelet network construction to statistical modeling and forecasting applications in areas such as finance, chaos, and classification. The authors ensure that readers obtain a complete understanding of model identification by providing in-depth coverage of both model selection and variable significance testing. Featuring an accessible approach with introductory coverage of the basic principles of wavelet analysis, Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification also includes: Methods that can be easily implemented or adapted by researchers, academics, and professionals in identification and modeling for complex nonlinear systems and artificial intelligence Multiple examples and thoroughly explained procedures with numerous applications ranging from financial modeling and financial engineering, time series prediction and construction of confidence and prediction intervals, and classification and chaotic time series prediction An extensive introduction to neural networks that begins with regression models and builds to more complex frameworks Coverage of both the variable selection algorithm and the model selection algorithm for wavelet networks in addition to methods for constructing confidence and prediction intervals Ideal as a textbook for MBA and graduate-level courses in applied neural network modeling, artificial intelligence, advanced data analysis, time series, and forecasting in financial engineering, the book is also useful as a supplement for courses in informatics, identification and modeling for complex nonlinear systems, and computational finance. In addition, the book serves as a valuable reference for researchers and practitioners in the fields of mathematical modeling, engineering, artificial intelligence, decision science, neural networks, and finance and economics.

Many empirical researchers yearn for an econometric

model that better explains their data. Yet these researchers

rarely pursue this objective for fear of the

statistical complexities involved in specifying that

model. This book is intended to alleviate those anxieties

by providing a practical methodology that anyone

familiar with regression analysis can employ—a

methodology that will yield a model that is both more

informative and is a better representation of the data.

This book outlines simple, practical procedures

that can be used to specify a model that better explains

the data. Such procedures employ the use of

purely statistical techniques performed upon a publicly

available data set, which allows readers to follow

along at every stage of the procedure. Using the

econometric software Stata (though most other statistical

software packages can be used as well), this

book demonstrates how to test for model misspecification

and how to respecify these models in a practical

way that not only enhances the inference drawn

from the results, but adds a level of robustness that

can increase the researcher’s confidence in the output

generated. By following this procedure, researchers

will be led to a better, more finely tuned empirical

model that yields better results.

SAS Programming with Medicare Administrative Data is the most comprehensive resource available for using Medicare data with SAS. This book teaches you how to access Medicare data and, more importantly, how to apply this data to your research.

Knowing how to use Medicare data to answer common research and business questions is a critical skill for many SAS users. Due to its complexity, Medicare data requires specific programming knowledge in order to be applied accurately. Programmers need to understand the Medicare program in order to interpret and utilize its data.

With this book, you'll learn the entire process of programming with Medicare data—from obtaining access to data; to measuring cost, utilization, and quality; to overcoming common challenges. Each chapter includes exercises that challenge you to apply concepts to real-world programming tasks.

SAS Programming with Medicare Administrative Data offers beginners a programming project template to follow from beginning to end. It also includes more complex questions and discussions that are appropriate for advanced users. Matthew Gillingham has created a book that is both a foundation for programmers new to Medicare data and a comprehensive reference for experienced programmers.

This book is part of the SAS Press program.

The R Quick Syntax Reference is a handy reference book detailing the intricacies of the R language. Not only is R a free, open-source tool, R is powerful, flexible, and has state of the art statistical techniques available. With the many details which must be correct when using any language, however, the R Quick Syntax Reference makes using R easier. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. With a copy of the R Quick Syntax Reference in hand, you will find that are able to use the multitude of functions available to the R user and are even able to write your own functions to explore and analyze data. Takes you through learning R, from download to statistical analysis. Clears the confusion around object types and how to use and convert the types. Tells you how to search for statistical techniques using the R help pages. What you'll learn Download R and R packages for your platform. Work with R within your file structure. Enter data from the keyboard and from external files. Determine and assign modes, classes, and types of objects Do calculations using the computational tools in R. Use R functions and create new functions. Who this book is for The R Quick Syntax Reference is for statisticians and other data analysts who are starting to use the R language. It is also for veteran R users who want a quick reference to the language. The book is an excellent choice for the busy data scientist who likes to experiment with new ways of analysis and who needs the flexibility of the data editing available in R.

Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition explores updates on the statistical knowledge and development of survey questionnaires, including analyzing the important decisions researchers make throughout the survey design process. The new edition provides coverage of an updated SQP program, which has an expanded question database from the Multi-trait Multi-method (MTMM) experiments. This book aims to give students and survey researchers a state-of-the-art introduction to questionnaire design and how to construct questionnaires with the highest relevance and accuracy. The pitfalls of questionnaire design are outlined throughout the book, which alerts designers of questionnaires to the many prior decisions that will affect the quality of the research outcome. It is important to measure the quality of questions at the outset in order for students and researchers to consider the consequences and methods of achieving reliable and effective questions.

A Complete Study System for OCA Exam 1Z0-061 Prepare for the Oracle Certified Associate Oracle Database 12 c SQL Fundamentals I exam with this Oracle Press guide. Each chapter features challenging exercises, a certification summary, a two-minute drill, and a self-test to reinforce the topics presented. This authoritative resource helps you pass the exam and also serves as an essential, on-the-job reference. Get complete coverage of all OCA objectives for exam 1Z0-061, including: Data retrieval using the SQL SELECT statement Restricting and sorting data Single-row functions Using conversion functions and conditional expressions Reporting aggregated data with the group functions Displaying data from multiple tables with joins Using subqueries to solve problems Using the set operators Manipulating data with DML statements Using DDL statements to create and manage tables Electronic content includes: 150+ practice exam questions with detailed answers and explanations Score report performance assessment tool

RabbitMQ Essentials provides a comprehensive introduction to RabbitMQ, a versatile message broker solution frequently used in distributed systems. Through a clear set of examples and practical exercises, readers will gain the skills needed to start building robust messaging applications. What this Book will help me do Understand the core concepts and architecture of RabbitMQ. Learn how to set up RabbitMQ and develop messaging applications. Master sending, receiving, and routing messages effectively with RabbitMQ exchanging types such as direct, topic, and fanout. Implement robust error handling and monitoring mechanisms for RabbitMQ implementations. Create intelligent messaging workflows and scalable systems leveraging RabbitMQ's advanced features. Author(s) David Dossot is a seasoned software architect and developer with deep expertise in distributed systems and messaging solutions. With years of practical experience, David brings clarity and actionable insight to the complex subject of message-oriented middleware. His goal is to help technologists bridge the gap between theory and implementation. Who is it for? This book is intended for developers interested in learning how to utilize RabbitMQ for building modern messaging applications. It's suitable for readers with basic programming knowledge who want to deepen their understanding of distributed systems. Ideal for professionals seeking to implement message queuing solutions in their systems or enhance existing setups. The book progresses from beginner-friendly explanations to more advanced topics, making it a perfect choice for developers at any stage of learning RabbitMQ.

Written by a renowned expert, Geoinformation: Remote Sensing, Photogrammetry and Geographic Information Systems, Second Edition gives you an overarching view of how remote sensing, photogrammetry, and geographic information systems work together in an interdisciplinary manner. The book presents the required basic background of the geoinformatics concept in which the different methodologies must be combined. It details the principal components of remote sensing, from theoretical principles to advanced image analysis and interpretation techniques, sensor components, and operating platforms. New and Updated in the Second Edition: Web-based image viewing with Google Earth Aerial platforms Existing digital photogrammetric software systems, including Intergraph image station, Autodesk, and Oracle Spatial Land management and cadaster Imaging sensors such as laser scanning, image spectrometry, radar imaging, and radar interferometry With the advent of high-resolution satellite systems in stereo, the theory of analytical photogrammetry restituting 2D image information into 3D is of increasing importance, merging the remote sensing approach with that of photogrammetry. This text describes the fundamentals of these approaches in detail, with an emphasis on global, regional, and local applications. It provides a short introduction to the GPS satellite positioning system in the context of data integration. An extensive overview of the basic elements of GIS technologies and data management approaches, as well as the widely employed positioning systems such as GPS and GSM networks, complete the presentation of the technological framework for geoinformation. Appropriate for GIS courses at all levels, the book proceeds beyond the science and technology to tackle cost considerations and practical implementation issues, giving you a starting point for multidisciplinary new activities and services in the future.

The use of external storage and the benefits of virtualization became a topic of discussion in the IBM® i area during the last several years. The question tends to be, what are the advantages of the use of external storage that is attached to an IBM i environment as opposed to the use of internal storage. The use of IBM PowerVM® virtualization technology to virtualize Power server processors and memory also became common in IBM i environments. However, virtualized access to external storage and network resources by using a VIO server is still not widely used. This IBM Redbooks® publication gives a broad overview of the IBM Storwize® family products and their features and functions. It describes the setup that is required on the storage side and describes and positions the different options for attaching IBM Storwize family products to an IBM i environment. Basic setup and configuration of a VIO server specifically for the needs of an IBM i environment is also described. In addition, different configuration options for a combined setup of IBM PowerHA® SystemMirror® for i and the Storwize family products are described and positioned against each other. Detailed examples are provided for the setup process that is required for these environments. The information that is provided in this book is useful for clients, IBM Business Partners, and IBM service professionals who need to understand how to install and configure their IBM i environment with attachment to the Storwize family products.

This IBM® Redbooks® publication introduces the IBM Storwize® V7000 Unified Disk System, a virtualized storage system that consolidates block and file workloads into a single storage system. Advantages include simplicity of management, reduced cost, highly scalable capacity, performance, and high availability. It also offers improved efficiency and flexibility through built-in solid-state drive optimization, thin provisioning, IBM Real-time Compression™, We suggest that you familiarize yourself with the following Redbooks publications to get the most from this book: Implementing the IBM Storwize V7000 V6.3, SG24-7938 Implementing the IBM System Storage SAN Volume Controller V6.3, SG24-7933 Real-time Compression in SAN Volume Controller and Storwize V7000, REDP-4859 SONAS Implementation and Best Practices Guide, SG24-7962 SONAS Concepts, Architecture, and Planning Guide, SG24-7963

Fill the gap between planning and doing with SSIS 2014 The 2014 release of Microsoft's SQL Server Integration Services provides enhancements for managing extraction, transformation, and load operations, plus expanded in-memory capabilities, improved disaster recovery, increased scalability, and much more. The increased functionality will streamline your ETL processes and smooth out your workflow, but the catch is that your workflow must change. New tools come with new best practices, and Professional Microsoft SQL Server 2014 Integration Services will keep you ahead of the curve. SQL Server MVP Brian Knight is the most respected name in the business, and your ultimate guide to navigating the changes to use Microsoft SQL Server Integration Services 2014 to your utmost advantage. Implement new best practices for effective use of SSIS Work through tutorials for hands-on learning of complex techniques Read case studies that illustrate the more advanced concepts Learn directly from the foremost authority on SSIS SQL Server Integration Services is a complex tool, but it's the lifeblood of your work. You need to know it inside out, and you must understand the full potential of its capabilities in order to use it effectively. You need to make sure the right architecture is in place. Professional Microsoft SQL Server 2014 Integration Services is your roadmap to understanding SSIS on a fundamental level, and setting yourself up for success.

Almost all technological components in the data center are getting faster; central processing units, network, storage area networks (SAN), and memory. All of them have improved their speed by a minimum of 10X; some of them by 100X, for example, data networks. However, spinning disk performance has only increased by 1.2 times. Fortunately, flash storage has come along and closed the gap between the other improvements in server technology and storage. Using the IBM® FlashSystem™ 840 provides value that goes beyond those benefits that are seen on disk-based arrays. These benefits include better user experience, server and application consolidation, development cycle reduction, application scalability, data center footprint savings, and improved price performance economics. This IBM Redbooks® publication introduces clients to the newest member of the IBM FlashSystem™ products: the IBM FlashSystem 840. It will provide in-depth knowledge of the product architecture, software and hardware, its implementation, and hints and tips. Also illustrated are use cases that show real-world solutions for tiering, flash-only, and preferred read, as well as examples of the benefits gained by integrating the FlashSystem storage into business environments. This book is intended for pre-sales and post-sales technical support professionals and storage administrators, and for anyone who wants to understand and learn how to implement this new and exciting technology.

Server bottlenecks and failures are a fact of life in any database deployment, but they don’t have to bring everything to a halt. This practical book explains replication, cluster, and monitoring features that can help protect your MySQL system from outages, whether it’s running on hardware, virtual machines, or in the cloud.

Discover how to simplify Hadoop programming with Pig Design Patterns, helping you create innovative enterprise-level big data solutions. This book takes you step-by-step through practical design patterns for creating efficient data processing workflows with Apache Pig. What this Book will help me do Understand and implement fundamental data processing patterns with Pig. Master advanced Pig techniques for Big Data analytics. Learn to optimize Pig scripts for performance and scalability. Build end-to-end data processing solutions with real-world examples. Integrate Pig workflows into the broader Hadoop ecosystem. Author(s) Pradeep Pasupuleti is an experienced data engineer and software developer specializing in Big Data technologies. With extensive expertise in Hadoop and Pig, Pradeep shares valuable insights and practical techniques beginners and experts alike will appreciate. Who is it for? This book is perfect for software developers and data engineers working with Hadoop who want to streamline their workflow. It is ideal for professionals already familiar with Pig and Hadoop basics looking to advance. It also suits learners aiming to implement optimized data solutions effectively.

This IBM® Redbooks® publication demonstrates and documents that the combination of IBM System x®, IBM GPFS™, IBM GPFS-FPO, IBM Platform Symphony®, IBM Platform HPC, IBM Platform LSF®, IBM Platform Cluster Manager Standard Edition, and IBM Platform Cluster Manager Advanced Edition deliver significant value to clients in need of cost-effective, highly scalable, and robust solutions. IBM depth of solutions can help the clients plan a foundation to face challenges in how to manage, maintain, enhance, and provision computing environments to, for example, analyze the growing volumes of data within their organizations. This IBM Redbooks publication addresses topics to educate, reiterate, confirm, and strengthen the widely held opinion of IBM Platform Computing as the systems software platform of choice within an IBM System x environment for deploying and managing environments that help clients solve challenging technical and business problems. This IBM Redbooks publication addresses topics to that help answer customer’s complex challenge requirements to manage, maintain, and analyze the growing volumes of data within their organizations and provide expert-level documentation to transfer the how-to-skills to the worldwide support teams. This IBM Redbooks publication is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for delivering cost-effective computing solutions that help optimize business results, product development, and scientific discoveries.

The IBM® Coach Framework is a key element of the IBM Business Process Manager (BPM) product suite. With the Coach Framework, process authors can create and maintain custom web-based user interfaces that are embedded within their business process solutions. This ability to create and maintain custom user interfaces is a key factor in the successful deployment of business process solutions. Coaches have proven to be an extremely powerful element of IBM BPM solutions, and with the release of IBM BPM version 8.0 they were rejuvenated to incorporate the recent advances in browser-based user interfaces. This IBM Redbooks® publication focuses on the capabilities that Coach Framework delivers with IBM BPM version 8.5, but much of what is shared in these pages continues to be of value as IBM evolves coaches in the future. This book has been produced to help you fully benefit from the power of the Coach Framework.

Your plain-English guide to understanding and using technical chart patterns Chart pattern analysis is not only one of the most important investing tools, but also one of the most popular. Filled with expert insights and practical advice from one of the best in the business, Getting Started in Chart Patterns, Second Edition helps new and seasoned traders alike profit by tracking and identifying specific chart patterns. Substantially revised and expanded, this new edition stay true to the original, with author Thomas Bulkowski's frank discussion of how trading behavior can affect the bottom line. Interwoven throughout the technical presentations are fascinating anecdotes drawn from the author's quarter-century as a professional trader that vividly demonstrate how one of the best in the business leverages the power of chart patterns. Includes additional charts for ETFs and mutual funds Introduces more than 40 key chart formations, as well as trading tactics that can be used in conjunction with them Supplies actual trades, with their corresponding dollar amounts If you're looking to gain a better understanding of this discipline, look no further than the Second Edition of Getting Started in Chart Patterns.