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“averill m law”

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  • Simulation Modeling and Analysis, Sixth Edition

    de Averill M. Law ...
    Comprehensive, state-of-the-art coverage of every important simulation techniqueThis fully-revised book has the most comprehensive and up-to-date coverage of all aspects of a simulation study. Equally well suited for use in university courses, simulation practice, and self-study, the book offers clear and intuitive explanations as well as 300 figures, 218 examples, and 217 problems. You will get ... Leer más

    $112.49 USD

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  • An Introduction to Statistical Learning

    with Applications in R

    de Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani ...
    Series series Mathematics and Statistics (R0)
    An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant ... Leer más

    $62.99 USD

  • Modern Time Series Forecasting with Python

    Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas

    de Manu Joseph, Jeffrey Tackes ...
    Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architectures Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\* Key FeaturesApply ML and global models to improve forecasting accuracy through practical ... Leer más

    $42.99 USD o gratis con Kobo Plus

  • Fundamentals of Machine Learning for Predictive Data Analytics, second edition

    Algorithms, Worked Examples, and Case Studies

    de John D. Kelleher, Brian Mac Namee, Aoife D'Arcy ...
    The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and ... Leer más

    $49.99 USD

  • Modern Time Series Forecasting with Python

    Explore industry-ready time series forecasting using modern machine learning and deep learning

    de Manu Joseph ...
    Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning conceptsKey FeaturesExplore industry-tested machine learning techniques used to forecast millions of time seriesGet started with the revolutionary paradigm of global forecasting modelsGet to grips with new concepts by applying them to real-world datasets of ... Leer más

    $38.99 USD o gratis con Kobo Plus

  • Generative AI for Trading and Asset Management

    de Hamlet Jesse Medina Ruiz, Ernest P. Chan ...
    Expert guide on using AI to supercharge traders' productivity, optimize portfolios, and suggest new trading strategiesGenerative AI for Trading and Asset Management is an essential guide to understand how generative AI has emerged as a transformative force in the realm of asset management, particularly in the context of trading, due to its ability to analyze vast datasets, identify intricate ... Leer más

    $33.00 USD

  • Generalized Additive Models

    An Introduction with R, Second Edition

    de Simon N. Wood ...
    Series series Chapman & Hall/CRC Texts in Statistical Science
    The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before ... Leer más

    $125.99 USD

  • Smart Process Plants: Software and Hardware Solutions for Accurate Data and Profitable Operations

    Data Reconciliation, Gross Error Detection, and Instrumentation Upgrade

    de Miguel J. Bagajewicz ...
    A Detailed Guide to the New Generation of Smart Process PlantsMaximize plant profitability by minimizing operating costs. Smart Process Plants addresses measurements and the data they generate, error-free process variable estimation, control, fault detection, instrumentation upgrade, and maintenance optimization, and then connects these activities to plant economics. Methods for calculating the ... Leer más

    $144.89 USD

  • Response Surface Methodology

    Process and Product Optimization Using Designed Experiments

    de Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook ...
    Series series Wiley Series in Probability and Statistics
    Praise for the Third Edition:“This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.”- Zentralblatt MathFeaturing a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments prese... ... Leer más

    $138.00 USD

  • Statistical Analysis Techniques in Particle Physics

    Fits, Density Estimation and Supervised Learning

    de Ilya Narsky, Frank C. Porter ...
    Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. ... Leer más

    $102.00 USD

  • Simulating Data with SAS

    de Rick Wicklin ...
    Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techniques for efficient data simulation in an accessible how-to book for practicing statisticians and statistical programmers. This book discusses in detail how to simulate data from common univariate and ... Leer más

    $50.09 USD

  • Statistical Data Analytics

    Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual

    de Walter W. Piegorsch ...
    Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge DiscoveryA comprehensive introduction to statistical methods for data mining and knowledge discovery.Extensive solutions using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, ... Leer más

    $26.00 USD