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  • The Computational Structure of Life Cycle Assessment

    Series series Earth and Environmental Science (R0)
    Life Cycle assessment (LCA) is a tool for environmental decision-support in relation to products from the cradle to the grave. Until now, more emphasis has been put on the inclusion quantitative models and databases and on the design of guidebooks for applying LCA than on the integrative aspect of combining these models and data. This is a remarkable thing, since LCA in practice deals with ... Read more

    $205.99 CAD

  • Probability, Statistics and Life Cycle Assessment

    Guidance for Dealing with Uncertainty and Sensitivity

    Series series Earth and Environmental Science (R0)
    This textbook discusses the use of uncertainty analysis and sensitivity analysis in environmental life cycle assessment (LCA). This is a topic which has received a lot of attention by journals, including the leading (Springer) International Journal of Life Cycle Assessment. Despite its importance, no coherent textbook exists that summarizes the progress that has been made in the last 20 years. ... Read more

    $282.99 CAD

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    Learn to understand and implement the latest machine learning innovations to improve your investment performanceMachine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and ... Read more

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  • Machine Learning for Asset Managers

    Series series Elements in Quantitative Finance
    Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers ... Read more

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  • Electrical Load Forecasting

    Modeling and Model Construction

    by 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 ... Read more

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  • Market Microstructure

    Confronting Many Viewpoints

    Series Book 650 - The Wiley Finance Series
    The latest cutting-edge research on market microstructureBased on the December 2010 conference on market microstructure, organized with the help of the Institut Louis Bachelier, this guide brings together the leading thinkers to discuss this important field of modern finance. It provides readers with vital insight on the origin of the well-known anomalous "stylized facts" in financial prices ... Read more

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  • Forecasting and Assessing Risk of Individual Electricity Peaks

    Series series Mathematics and Statistics (R0)
    The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples.In order to achieve carbon targets, good forecasts of peaks are ... Read more

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  • Using the Weibull Distribution

    Reliability, Modeling, and Inference

    Series Book 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 ... Read more

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  • Statistics by Simulation

    A Synthetic Data Approach

    An accessible guide to understanding statistics using simulations, with examples from a range of scientific disciplinesReal-world challenges such as small sample sizes, skewed distributions of data, biased sampling designs, and more predictors than data points are pushing the limits of classical statistical analysis. This textbook provides a new tool for the statistical toolkit: data simulations. ... Read more

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  • Applied Time Series Analysis

    A Practical Guide to Modeling and Forecasting

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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 ... Read more

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  • JMP for Mixed Models

    Discover the power of mixed models with JMP and JMP Pro.Mixed models are now the mainstream method of choice for analyzing experimental data. Why? They are arguably the most straightforward and powerful way to handle correlated observations in designed experiments. Reaching well beyond standard linear models, mixed models enable you to make accurate and precise inferences about your experiments ... Read more

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