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  • Data Science for the Geosciences

    Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, ... Leer más

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  • Performance Testing of Textiles

    Methods, Technology and Applications

    Edición de Lijing Wang ...
    Series series Woodhead Publishing Series in Textiles
    Performance Testing of Textiles: Methods, Technology and Applications examines the developed and established methodology for testing performance textiles, also summarizing the material properties for advanced applications. This book emphasizes reproducible tests using commonly used experimental methods reported in scientific literature and internationally recognized testing standards to quantify ... Leer más

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  • Statistics

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  • Ecological Models and Data in R

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  • Quantitative Methods

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  • How to be a Quantitative Ecologist

    The 'A to R' of Green Mathematics and Statistics

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  • Time Series Analysis by State Space Methods

    Series Libro 38 - Oxford Statistical Science Series
    This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that observations are regarded as made up of distinct components such as trend, seasonal, regression elements and disturbance terms, each of which is modelled separately. The techniques that emerge from this approach are ... Leer más

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  • The R Book

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  • Geostatistics Explained

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  • Generalized Additive Models

    An Introduction with R, Second Edition

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    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

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