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Employ heuristic adjustments for truly accurate analysis Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of proper analytical tools, the book describes the analytical process from exploratory analysis through model developments, to deployments and possible outcomes. Beginning with an introduction to heuristic concepts, readers will find heuristics applied to statistics and probability, mathematics, stochastic, and artificial intelligence models, ending with the knowledge applications that solve business problems. Case studies illustrate the everyday application and implication of the techniques presented, while the heuristic approach is integrated into analytical modeling, graph analysis, text analytics, and more. Robust analytics has become crucial in the corporate environment, and randomness plays an enormous role in business and the competitive marketplace. Failing to account for randomness can steer a model in an entirely wrong direction, negatively affecting the final outcome and potentially devastating the bottom line. Heuristics in Analytics describes how the heuristic characteristics of analysis can be overcome with problem design, math and statistics, helping readers to: Realize just how random the world is, and how unplanned events can affect analysis Integrate heuristic and analytical approaches to modeling and problem solving Discover how graph analysis is applied in real-world scenarios around the globe Apply analytical knowledge to customer behavior, insolvency prevention, fraud detection, and more Understand how text analytics can be applied to increase the business knowledge Every single factor, no matter how large or how small, must be taken into account when modeling a scenario or event—even the unknowns. The presence or absence of even a single detail can dramatically alter eventual outcomes. From raw data to final report, Heuristics in Analytics contains the information analysts need to improve accuracy, and ultimately, predictive, and descriptive power.

An up-to-date look at the latest innovations in mortgage-backed securities Since the last edition of Mortgage-Backed Securities was published over three years ago, much has changed in the structured credit market. Frank Fabozzi, Anand Bhattacharya, and William Berliner all have many years of experience working in the fixed-income securitization markets, and have witnessed many cycles of change in the mortgage and MBS sectors. And now, with the Second Edition of Mortgage-Backed Securities, they share their knowledge on many of the products and structuring innovations that have taken place since the financial crisis and fiscal reform. Written in a straightforward and accessible style, and containing numerous illustrations, this timely guide skillfully addresses the investment characteristics, creation, and analysis of mortgage-backed securities. Each chapter contains cutting-edge concepts that you'll need to understand in order to thrive within this arena. Discusses the dynamic interaction between the mortgage industry, home prices, and credit performance Addresses revised valuation techniques in which all non-agency MBS must be treated as credit pieces Examines the shift in this marketplace since the crisis and the impact on industry and investors Filled with in-depth insights and expert advice, Mortgage-Backed Securities, Second Edition offers you a realistic assessment of this field and outlines the products, structures, and analytical techniques you need to know about in this evolving arena.

Written by a leading expert on the electromagnetic design and engineering of superconducting accelerator magnets, this book offers the most comprehensive treatment of the subject to date. In concise and easy-to-read style, the author lays out both the mathematical basis for analytical and numerical field computation and their application to magnet design and manufacture. Of special interest is the presentation of a software-based design process that has been applied to the entire production cycle of accelerator magnets from the concept phase to field optimization, production follow-up, and hardware commissioning. Included topics: Technological challenges for the Large Hadron Collider at CERN Algebraic structures and vector fields Classical vector analysis Foundations of analytical field computation Fields and Potentials of line currents Harmonic fields The conceptual design of iron- and coil-dominated magnets Solenoids Complex analysis methods for magnet design Elementary beam optics and magnet polarities Numerical field calculation using finite- and boundary-elements Mesh generation Time transient effects in superconducting magnets, including superconductor magnetization and cable eddy-currents Quench simulation and magnet protection Mathematical optimization techniques using genetic and deterministic algorithms Practical experience from the electromagnetic design of the LHC magnets illustrates the analytical and numerical concepts, emphasizing the relevance of the presented methods to a great many applications in electrical engineering. The result is an indispensable guide for high-energy physicists, electrical engineers, materials scientists, applied mathematicians, and systems engineers.

Unique in its review of modern analytical approaches to vitamin fortification, this book emphasizes fast, sensitive, and accurate methods, along with assays enabling the detection of various isomers and multiple vitamins. The expert contributors describe the concepts as well as analytical and assay methods to study fortification, along with applications to create better and safer foods. Taking into considerations regulatory matters, they include data on sampling and extraction methods, and discuss the various pros and cons of each. As a result, readers are able to determine, which type of analytical method is best suited for added vitamins. A practical guide for food chemists and technologists, as well as analytical laboratories and biochemists.