Description

Statistical tools are indispensable for the environmental sciences. They have become an integral part of the scientific process, from the development of the sampling plan to the obtainment of results.

Statistics in Environmental Sciences provides the foundation for the interpretation of quantitative data (basic vocabulary, main laws of probabilities, etc.) and the thinking behind sampling and experimental methodology. It also introduces the principles of statistical tests such as decision theory and examines the key choices in statistical tests, while keeping the established objectives in mind.

The book examines the most used statistics in the field of environmental sciences. Detailed descriptions based on concrete examples are given, as well as descriptions obtained through the use of the free software R (whose usage is also presented).

Statistics in Environmental Sciences

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£138.95

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Hardback by Valerie David

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Statistical tools are indispensable for the environmental sciences. They have become an integral part of the scientific process, from the... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 16/08/2019
    ISBN13: 9781786305077, 978-1786305077
    ISBN10: 1786305070

    Number of Pages: 310

    Non Fiction , Mathematics & Science , Education

    Description

    Statistical tools are indispensable for the environmental sciences. They have become an integral part of the scientific process, from the development of the sampling plan to the obtainment of results.

    Statistics in Environmental Sciences provides the foundation for the interpretation of quantitative data (basic vocabulary, main laws of probabilities, etc.) and the thinking behind sampling and experimental methodology. It also introduces the principles of statistical tests such as decision theory and examines the key choices in statistical tests, while keeping the established objectives in mind.

    The book examines the most used statistics in the field of environmental sciences. Detailed descriptions based on concrete examples are given, as well as descriptions obtained through the use of the free software R (whose usage is also presented).

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