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  • Statistical Outliers and Related Topics

    The book is a collection of different aspects of outliers and related topics written by experts. Topics covered include definition of outliers, their sources, consequences, identification, computational and robustness issues, handling of outliers in diversified areas of statistics such as univariate and multivariate data, linear and generalized linear models, time series, linear functional and ... Leer más

    $254.99 USD

  • Testing and Inspection Using Acceptance Sampling Plans

    Series series Mathematics and Statistics (R0)
    This book introduces a number of new sampling plans, such as time truncated life tests, skip sampling plans, resubmitted plans, mixed sampling plans, sampling plans based on the process capability index and plans for big data, which can be used for testing and inspecting products, from the raw-materials stage to the final product, in every industry using statistical process control techniques. It ... Leer más

    $89.99 USD

  • G Families of Probability Distributions

    Theory and Practices

    Statistical distributions are essential tools to model the characteristics of datasets, such as right or left skewness, bi-modality or multi-modality observed in different applied sciences, such as engineering, medicine, and finance. The well-known distributions like normal, Weibull, gamma and Lindley are extensively used because of their simple forms and identifiability properties. In the last ... Leer más

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  • Electrical Load Forecasting

    Modeling and Model Construction

    de S.A. Soliman ...
    Succinct and understandable, this book is a step-by-step guide to the mathematics and construction of electrical load forecasting models. Written by one of the world's foremost experts on the subject, Electrical Load Forecasting provides a brief discussion of algorithms, their advantages and disadvantages and when they are best utilized. The book begins with a good description of the basic theory ... Leer más

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  • Using the Weibull Distribution

    Reliability, Modeling, and Inference

    Series Libro 950 - Wiley Series in Probability and Statistics
    Understand and utilize the latest developments in Weibull inferential methodsWhile the Weibull distribution is widely used in science and engineering, most engineers do not have the necessary statistical training to implement the methodology effectively. Using the Weibull Distribution: Reliability, Modeling, and Inference fills a gap in the current literature on the topic, introducing a self ... Leer más

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  • Introduction to Linear Regression Analysis

    Series series Wiley Series in Probability and Statistics
    INTRODUCTION TO LINEAR REGRESSION ANALYSISA comprehensive and current introduction to the fundamentals of regression analysisIntroduction to Linear Regression Analysis, 6th Edition is the most comprehensive, fulsome, and current examination of the foundations of linear regression analysis. Fully updated in this new sixth edition, the distinguished authors have included new material on generalized ... Leer más

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  • Handbook of Modeling High-Frequency Data in Finance

    Series Libro 8 - Wiley Handbooks in Financial Engineering and Econometrics
    CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICSIn recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design systems that can handle and analyze this information. Handbook of Modeling High-Frequency Data in Finance addresses the many theoretical and practical questions raised by the nature and intrinsic ... Leer más

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  • Forecast Verification

    A Practitioner's Guide in Atmospheric Science

    Forecast Verification: A Practioner's Guide in Atmospheric Science, 2nd Edition provides an indispensible guide to this area of active research by combining depth of information with a range of topics to appeal both to professional practitioners and researchers and postgraduates. The editors have succeeded in presenting chapters by a variety of the leading experts in the field while still ... Leer más

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  • Introduction to Robust Estimation and Hypothesis Testing

    This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing ... Leer más

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  • Handbook of High-Frequency Trading and Modeling in Finance

    Series series Wiley Handbooks in Financial Engineering and Econometrics
    Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance details how high-frequency analysis presents new systematic approaches to implementing quantitative activities with high-frequency financial data.Introducing new and established mathematical foundations necessary to analyze realistic market models and ... Leer más

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  • Interest Rate Derivatives

    Valuation, Calibration and Sensitivity Analysis

    de Ingo Beyna ...
    Series series Mathematics and Statistics (R0)
    The class of interest rate models introduced by O. Cheyette in 1994 is a subclass of the general HJM framework with a time dependent volatility parameterization. This book addresses the above mentioned class of interest rate models and concentrates on the calibration, valuation and sensitivity analysis in multifactor models. It derives analytical pricing formulas for bonds and caplets and applies ... Leer más

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  • Machine Learning for Factor Investing: R Version

    Series series Chapman and Hall/CRC Financial Mathematics Series
    Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out of reach. Machine ... Leer más

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