Nonlinear Parameter Optimization Using R John C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R In recent decades, optimization techniques have been streamlined by computational and artificial intelligence methods to analyze more variables, especially under non-linear, multivariable conditions, more quickly than ever before. Optimization is an important tool for decision science and for the analysis of physical systems used in engineering. Nonlinear Parameter Optimization with R explores the principal tools available in R for function minimization, optimization, and nonlinear parameter determination and features numerous examples throughout. Nonlinear Parameter Optimization with R: Provides a comprehensive treatment of optimization techniques Examines optimization problems that arise in statistics and how to solve them using R Enables researchers and practitioners to solve parameter determination problems Presents traditional methods as well as recent developments in R Is supported by an accompanying website featuring R code, examples and datasets Researchers and practitioners who have to solve parameter determination problems who are users of R but are novices in the field optimization or function minimization will benefit from this book. It will also be useful for scientists building and estimating nonlinear models in various fields such as hydrology, sports forecasting, ecology, chemical engineering, pharmaco-kinetics, agriculture, economics and statistics.

Statistical Applications for Environmental Analysis and Risk Assessment guides readers through real-world situations and the best statistical methods used to determine the nature and extent of the problem, evaluate the potential human health and ecological risks, and design and implement remedial systems as necessary. Featuring numerous worked examples using actual data and "ready-made" software scripts, Statistical Applications for Environmental Analysis and Risk Assessment also includes: Descriptions of basic statistical concepts and principles in an informal style that does not presume prior familiarity with the subject Detailed illustrations of statistical applications in the environmental and related water resources fields using real-world data in the contexts that would typically be encountered by practitioners Software scripts using the high-powered statistical software system, R, and supplemented by USEPA's ProUCL and USDOE's VSP software packages, which are all freely available Coverage of frequent data sample issues such as non-detects, outliers, skewness, sustained and cyclical trend that habitually plague environmental data samples Clear demonstrations of the crucial, but often overlooked, role of statistics in environmental sampling design and subsequent exposure risk assessment.

Microsoft SQL Server 2014 Business Intelligence Development Beginner's Guide introduces you to Microsoft's BI tools and systems. You'll gain hands-on experience building solutions that handle data warehousing, reporting, and predictive analytics. With step-by-step tutorials, you'll be equipped to transform data into actionable insights. What this Book will help me do Understand and implement multidimensional data models using SSAS and MDX. Write and use DAX queries and leverage SSAS tabular models effectively. Improve and maintain data integrity using MDS and DQS tools. Design and develop polished, insightful dashboards and reports using PerformancePoint, Power View, and SSRS. Explore advanced data analysis features, such as Power Query, Power Map, and basic data mining techniques. Author(s) Abolfazl Radgoudarzi and Reza Rad are experienced practitioners and educators in the field of business intelligence. They specialize in SQL Server BI technologies and have extensive careers helping organizations harness data for decision-making. Their approach combines clear explanations with practical examples, ensuring readers can effectively apply what they learn. Who is it for? This book is ideal for database developers, system analysts, and IT professionals looking to build strong foundations in Microsoft SQL Server's BI technologies. Beginners in business intelligence or data management will find the topics accessible. Intermediate practitioners will expand their ability to build complete BI solutions. It's designed for anyone eager to develop skills in data modeling, analysis, and visualization.

Although widely used in science and technology for experimental data generating, modeling, and optimization, the response surface methodology (RSM) has many limitations. Showing how robust response surface methodology (RRSM) can overcome these limitations, Robust Response Surfaces, Regression, and Positive Data Analyses presents RRS designs, along with the relevant regression and positive data analysis techniques. It explains how to use RRSM in experimental designs and regression analysis. The book addresses problems of RRS designs, such as rotatability, slope-rotatability, weak rotatability, and optimality. It describes methods for estimating model parameters as well as positive data analysis techniques. The author illustrates the concepts and methods with real examples of lifetime responses, resistivity, replicated measures, and more. The range of topics and applications gives the book broad appeal both to theoreticians and practicing professionals. The book helps quality engineers, scientists in any area, medical practitioners, demographers, economists, and statisticians understand the theory and applications of RRSM. It can also be used in a second course on the design of experiments.

Learn how to build great Windows Store apps! Figures and code appear as they do in Visual Studio. In just 24 sessions of one hour or less, Sams Teach Yourself Windows 8.1 Apps with XAML and C# in 24 Hours will help you build compelling apps for Windows 8.1 devices of all kinds. Using this book’s straightforward approach, you’ll learn to design and build apps, create flexible user interfaces, handle inputs, integrate controls, and more. Step by step, you’ll discover how to leverage XAML’s visual richness and the immense power of Windows 8.1. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success! Step-by-step instructions carefully walk you through today’s most common XAML and C# development tasks. Quizzes at the end of each chapter help you test your knowledge. Notes present interesting information related to the discussion. Tips offer advice or show you easier ways to perform tasks. Cautions alert you to possible problems and give you advice on how to avoid them. Learn how to… Create user interfaces that adapt to any device, from tablets to high-def TVs Handle input from touch, mouse, pen, and keyboard Manage the entire Windows 8.1 app lifecycle and all execution states Master powerful XAML controls for text, images, audio, video, and more Integrate vector graphics that scale perfectly to any size Apply rich animations Work with styles, templates, and visual states Exploit the Windows charms within your apps Take full advantage of data binding and contracts Read data from sensors and control external devices Provide dynamic updates via live tiles, notifications, and the lock screen Discover the many ways to monetize your Windows Store apps

Use computational intelligence to drive more value from business analytics, overcome real-world uncertainties and complexities, and make better decisions. Drawing on his pioneering experience as an instructor and researcher, Dr. Les Sztandera thoroughly illuminates today's key computational intelligence tools, knowledge, and strategies for analysis, exploration, and knowledge generation. Sztandera demystifies artificial neural networks, genetic algorithms, and fuzzy systems, and guides you through using them to model, discover, and interpret new patterns that can't be found through statistical methods alone. Packed with relevant case studies and examples, this guide demonstrates: Customer segmentation for direct marketing Customer profiling for relationship management Efficient mailing campaigns Customer retention Identification of cross-selling opportunities Credit score analysis Detection of fraudulent behavior and transactions Hedge fund strategies, and more Szandera shows how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. He also shows how to complement computational intelligence with visualization, explorative interfaces and advanced reporting, thereby empowering business users and enterprise stakeholders to take full advantage of it. For analytics professionals, managers, and students.

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

"...a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries of all institutions where introductory statistics courses are taught." -CHOICE This Second Edition presents a practical and understandable approach that enhances and expands the statistical toolset for readers. This book includes: New coverage of the sign test and the Kolmogorov-Smirnov two-sample test in an effort to offer a logical and natural progression to statistical power SPSS (Version 21) software and updated screen captures to demonstrate how to perform and recognize the steps in the various procedures Data sets and odd-numbered solutions provided in an appendix, and tables of critical values Supplementary material to aid in reader comprehension, which includes: narrated videos and screen animations with step-by-step instructions on how to follow the tests using SPSS; online decision trees to help users determine the needed type of statistical test; and additional solutions not found within the book.

Web services, cloud computing, location based services, NoSQLdatabases, and Semantic Web offer new ways of accessing, analyzing, and elaborating geo-spatial information in both real-world and virtual spaces. This book explores the how-to of the most promising recurrent technologies and trends in GIS, such as Semantic GIS, Web GIS, Mobile GIS, NoSQL Geographic Databases, Cloud GIS, Spatial Data Warehousing-OLAP, and Open GIS. The text discusses and emphasizes the methodological aspects of such technologies and their applications in GIS.

This IBM® Redbooks® publication will help you learn how to build a storage cloud with the IBM SmartCloud® Storage Access solution, which consists of multiple hardware and software products, including IBM Scale Out Network Attached Storage, IBM Storwize® V7000 Unified, IBM Tivoli® Storage Productivity Center, and more. The new self-service storage provisioning for IBM Storwize V7000, IBM System Storage® SAN Volume Controller (SAN Volume Controller), and IBM XIV® storage systems for storage area network (SAN) or block access is included. To get you started, this book provides information about the planning, installation, and configuration for each component. IBM SmartCloud Storage Access is an IBM software product for storage cloud management that provides the cloud service with virtualization and automation. IBM SmartCloud Storage Access is the focal point to administer the storage cloud environment, providing a self-service provision approach for storage cloud users. New storage capacity can be easily deployed and accessed by the Internet or intranet. IBM SmartCloud Storage Access also supports simple and fast resource elasticity as user demand changes. With the IBM SmartCloud Storage Access solution, the storage resources will be displayed as unified resource pools with different service levels. Users no longer need to know the exact location of their files, and there is no more need to configure the underlying storage subsystems manually. All storage resources are still well monitored, and the cloud administrators can easily track the historical storage resource usage. The IBM SmartCloud Storage Access solution provides all of the essential characteristics of a cloud service. IBM SmartCloud Storage Access acts as the cloud management portal. All cloud users work with the portal, and IBM SmartCloud Storage Access forwards the storage requests to Tivoli Storage Productivity Center to process. Tivoli Storage Productivity Center provides the storage configuration and usage details to IBM SmartCloud Storage Access. Some additional small, but important, components are required for the IBM SmartCloud Storage Access solution: Lightweight Directory Access Protocol (LDAP) or Active Directory (AD) system for authentication Domain Name System (DNS) for naming converting Simple Mail Transfer Protocol (SMTP) component for mail notification Network Time Protocol (NTP) system for clock synchronization

Best Practices for Oracle WebLogic Server 12 c Configuration and Administration Maintain a high-performance enterprise application framework using the detailed information in this authoritative resource. Through expert instruction and real-world examples, Oracle WebLogic Server 12c Administration Handbook fully explains the latest management tools and techniques. Learn how to work from the Oracle WebLogic Server Administration Console or command line, configure servers and clusters, deploy applications, and optimize application performance. Tuning, troubleshooting, and load balancing are thoroughly covered in this Oracle Press guide. Install Oracle WebLogic Server 12 c or perform an upgrade Manage domains, server instances, networks, and virtual hosts Work with the WebLogic Scripting Tool feature and Node Manager Build custom network channels and resource adapters Monitor performance with the WebLogic Diagnostics Framework feature Prioritize requests using Oracle WebLogic Server Work Managers Configure Oracle WebLogic clusters and migrate servers and services Deploy web applications, Enterprise JavaBeans, and Java EE modules Establish security realms and authenticate and authorize users Allocate memory, optimize throughput, and tune the Java Virtual Machine

How to Transform Your Organization with Analytics: Insider Lessons from IBM’s Pioneering Experience Analytics is not just a technology: It is a better way to do business. Using analytics, you can systematically inform human judgment with data-driven insight. This doesn’t just improve decision-making: It also enables greater innovation and creativity in support of strategy. Your transformation won’t happen overnight; however, it is absolutely achievable, and the rewards are immense. This book demystifies your analytics journey by showing you how IBM has successfully leveraged analytics across the enterprise, worldwide. Three of IBM’s pioneering analytics practitioners share invaluable real-world perspectives on what does and doesn’t work and how you can start or accelerate your own transformation. This book provides an essential framework for becoming a smarter enterprise and shows through 31 case studies how IBM has derived value from analytics throughout its business. Coverage Includes Creating a smarter workforce through big data and analytics More effectively optimizing supply chain processes Systematically improving financial forecasting Managing financial risk, increasing operational efficiency, and creating business value Reaching more B2B or B2C customers and deepening their engagement Optimizing manufacturing and product management processes Deploying your sales organization to increase revenue and effectiveness Achieving new levels of excellence in services delivery and reducing risk Transforming IT to enable wider use of analytics “Measuring the immeasurable” and filling gaps in imperfect data Whatever your industry or role, whether a current or future leader, analytics can make you smarter and more competitive. Analytics Across the Enterprise shows how IBM did it--and how you can, too. Learn more about IBM Analytics

"Learning Cypher" provides an in-depth look into Cypher, the functional query language for Neo4j, the powerful graph database. Whether you're transitioning from relational databases or exploring graph technology for the first time, this book offers practical guidance to help you write efficient, clear, and reusable queries. What this Book will help me do Master the Cypher declarative query syntax for graph databases. Write optimized Cypher queries for better application performance. Transform relational database data to graph database structures with ease. Understand the nuances of transitioning from SQL to graph paradigms. Learn the common pitfalls in Neo4j programming and how to avoid them. Author(s) Onofrio Panzarino is an experienced database developer specializing in graph technologies and Neo4j. He is passionate about teaching industry best practices to developers and has extensive experience in designing graph-based solutions. Through his approachable style, he empowers readers to excel in using graph databases effectively. Who is it for? This book is for database developers, data analysts, and software engineers who want to expand their knowledge into graph databases. If you work with large-scale connected data or are transitioning from SQL to a graph model, this book is ideal for you. Prior experience with any database query language will be helpful. The book is also suitable for students and professionals looking to integrate graph technology into their projects.

Oracle Database 12c Release 1 is now supported on Linux on IBM® System z®. This platform offers many advantages to customers who rely upon the IBM mainframe systems to run their businesses. Linux on System z takes advantage of the qualities of service in the System z hardware and in IBM z/VM®, making it a robust industrial strength version of Linux. This provides an excellent platform for hosting Oracle solutions that run in an enterprise. This IBM Redbooks® publication shares experiences that are gained while installing and testing Oracle Database 12c Release 1: Recommendations about how to set up an infrastructure Installing an Oracle Grid Infrastructure Installing Oracle 12C R1 Real Application Clusters (RAC) and creating a RAC Database, including a multitenant database Using the Cloud Control Agent to manage Oracle Database 12c Release 1 Installing Oracle WebLogic Server 12c Upgrading from an Oracle Database from 11gR2 to 12c Release 1

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.

IBM® System Storage® Gen 5 fabric backbones are among the industry's most powerful Fibre Channel switching infrastructure offerings. They provide reliable, scalable, and high-performance foundations for mission-critical storage. These fabric backbones also deliver enterprise connectivity options to add support for IBM FICON® connectivity, offering a high-performing and reliable FICON infrastructure with fast and scalable IBM System z® servers. Designed to increase business agility while providing nonstop access to information and reducing infrastructure and administrative costs, Gen 5 Fibre Channel fabric backbones deliver a new level of scalability and advanced capabilities to this robust, reliable, and high-performance technology. Although every network type has unique management requirements, most organizations face similar challenges managing their network environments. These challenges can include minimizing network downtime, reducing operational expenses, managing application service level agreements (SLAs), and providing robust security. Until now, no single tool could address these needs across different network types. To address this issue, the IBM Network Advisor management tool provides comprehensive management for data, storage, and converged networks. This single application can deliver end-to-end visibility and insight across different network types by integrating with Fabric Vision technology; it supports Fibre Channel SANs, including Gen 5 Fibre Channel platforms, IBM FICON, and IBM b-type SAN FCoE networks. In addition, this tool supports comprehensive lifecycle management capabilities across different networks through a simple, seamless user experience. This IBM Redbooks® publication introduces the concepts, architecture, and basic implementation of Gen 5 and IBM Network Advisor. It is aimed at system administrators, and pre- and post-sales support staff.

IBM® Intelligent Operations Center is an integrated solution, and a continually evolving platform and set of capabilities. The platform grows as the capabilities increase over time, and new interfaces and integration points are introduced in each release. The purpose of this IBM Redbooks® publication is to guide planners, architects, and implementers through the options that they have, to take advantage of the new capabilities and maximize the benefits of moving to the new release. This book considers what has already been deployed with IBM Intelligent Operations Center V1.5, the benefits of the new version (IBM Intelligent Operations Center V1.6.0.1), and the best way to take advantage of the new capabilities as you transition. IBM Intelligent Operations Center has several integration and extension points for the previous and current versions of the product, which points are documented and described in this book. This IBM Redbooks publication describes options and considerations for the best way to migrate customizations and benefit from the new architecture. Thorough details about the differences between the prior and new versions of the product are provided, to enable a clear understanding of migration choices, options, and preferred practices. This book includes descriptions of the trade-offs for each migration option, and in-depth information about data flows, available tools, and scripting changes that might affect existing IBM Intelligent Operations Center installations. This book is targeted to the following audiences: Line of business managers or stakeholders who are interested in understanding the new features in IBM Intelligent Operations Center V1.6, and who are looking for information about how to plan the migration of their current IBM Intelligent Operations Center V1.5 environments. Architects who need to understand the effect that IBM Intelligent Operations Center V1.6 will have on the architecture of IBM Intelligent Operations Center V1.5 solutions. IT specialists and product specialists who are responsible for implementing the migration of a solution based on IBM Intelligent Operations Center V1.5 to a V1.6 solution. IBM Intelligent Operations Center 1.6 Programming Guide, SG24-8201.

IBM® MobileFirst enables an enterprise to support a mobile strategy. With this end-to-end solution, IBM makes it possible for an enterprise to benefit from mobile interactions with customers, with business partners, and in organizations. There are products available from the IBM MobileFirst solution to support management, security, analytics, and development of the application and data platforms in a mobile environment. This IBM Redbooks® publication explores four areas crucial to developing a mobile strategy: Application development Mobile quality management Mobile device management Mobile analytics This IBM Redbooks publication provides an in-depth look at IBM Worklight®, IBM Rational® Test Workbench, IBM Endpoint Manager for Mobile Devices, and IBM Tealeaf® CX Mobile. This book is of interest to architects looking to design mobile enterprise solutions, and to practitioners looking to build these solutions. Related blog post 5 Things To Know About IBM MobileFirst

Master alternative Big Data technologies that can do what Hadoop can't: real-time analytics and iterative machine learning. When most technical professionals think of Big Data analytics today, they think of Hadoop. But there are many cutting-edge applications that Hadoop isn't well suited for, especially real-time analytics and contexts requiring the use of iterative machine learning algorithms. Fortunately, several powerful new technologies have been developed specifically for use cases such as these. Big Data Analytics Beyond Hadoop is the first guide specifically designed to help you take the next steps beyond Hadoop. Dr. Vijay Srinivas Agneeswaran introduces the breakthrough Berkeley Data Analysis Stack (BDAS) in detail, including its motivation, design, architecture, Mesos cluster management, performance, and more. He presents realistic use cases and up-to-date example code for: Spark, the next generation in-memory computing technology from UC Berkeley Storm, the parallel real-time Big Data analytics technology from Twitter GraphLab, the next-generation graph processing paradigm from CMU and the University of Washington (with comparisons to alternatives such as Pregel and Piccolo) Halo also offers architectural and design guidance and code sketches for scaling machine learning algorithms to Big Data, and then realizing them in real-time. He concludes by previewing emerging trends, including real-time video analytics, SDNs, and even Big Data governance, security, and privacy issues. He identifies intriguing startups and new research possibilities, including BDAS extensions and cutting-edge model-driven analytics. Big Data Analytics Beyond Hadoop is an indispensable resource for everyone who wants to reach the cutting edge of Big Data analytics, and stay there: practitioners, architects, programmers, data scientists, researchers, startup entrepreneurs, and advanced students.

IBM® Tivoli® Storage Productivity Center for Replication provides support for the advanced copy services capabilities on the DS8000® and DS6000™, in addition to the support for SAN Volume Controller. This support focuses on automating administration and configuration of these services, operational control (starting, suspending, resuming) copy services tasks, and monitoring and managing the copy services sessions. In addition to the support for FlashCopy® and Metro Mirror, Tivoli Storage Productivity Center for Replication supports Global Mirror on the DS8000, and SAN Volume hardware platforms. Advanced disaster recovery functions are also supported with failover/failback (planned and unplanned) from a primary site to a disaster recovery site. A new product, IBM Tivoli Storage Productivity Center for Replication Basic Edition for System z® enables Basic HyperSwap® on z/OS®, which allows the management of disk replication services using an intuitive GUI on z/OS systems. Tivoli Storage Productivity Center for Replication also can monitor the performance of the copy services that provide a measurement of the amount of replication and the amount of time that is required to complete the replication operations. This IBM Redbooks® publication provides the information you need to install Tivoli Storage Productivity Center for Replication V5.1, and create and manage replication sessions on a z/OS platform. Scenarios are provided that document the work performed in our laboratory setting, using the GUI and CLI.