Description

Book Synopsis
This volume presents four techniques of multivariate analysis commonly used by archaeologists. Employing 'ordinary language' and real data sets, and including extensive literature reviews, the book illustrates how these statistical techniques can be applied to specific archaeological questions.

Trade Review


'There are many things to admire about this book. . . . [T]he treatment of the methods is very solid and to the point. I especially like the way in which Baxter explores their strengths and weaknesses in applied settings. . . . [W]ritten at a level that most archaeologists will find comprehensible.' (Mark S. Aldenderfer, American Antiquity)



'[A]n excellent tool and reference for the practicing archaeo-statistician, as well as for the novice who wishes to get acquainted with multivariate statistical methods. In it one obtains practical advice from an experienced practitioner . . . . I like this book and recommend it.' (Kenneth L Kvamme, Archaeological Computing Newsletter)



'[A] no-nonsense account of the main multivariate techniques used in archaeology . . . . The style is straightforward and clear, and well in tune with the needs of the reader. . . . The tone is balanced and reasonable . . . . [F]or anyone who analyses multivariate data in archaeology.' (Clive Orton, Journal of Archaeological Science)




Table of Contents


Introduction to the Percheron Press Edition

Chapter 1. Multivariate Statistics in Archaeology

Chapter 2. Univariate and Bivariate Approaches and Preliminary Data Analysis

Chapter 3. Principal Component Analysis - The Main Ideas

Chapter 4. Principal Component Analysis - Specialised Topics

Chapter 5. Correspondence Analysis - The Main Ideas

Chapter 6. Correspondence Analysis - Extensions

Chapter 7. Cluster Analysis - The Main Ideas

Chapter 8. Cluster Analysis - Some Problems

Chapter 9. Discriminant Analysis - The Main Ideas

Chapter 10. Further Aspects of Discriminant Analysis

Chapter 11. The Final Chapter

Appendixes

Bibliography

Index


Exploratory Multivariate Analysis in Archaeology

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A Paperback / softback by M.J. Baxter

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    View other formats and editions of Exploratory Multivariate Analysis in Archaeology by M.J. Baxter

    Publisher: Eliot Werner Publications Inc
    Publication Date: 26/05/2015
    ISBN13: 9780989824934, 978-0989824934
    ISBN10: 989824934

    Description

    Book Synopsis
    This volume presents four techniques of multivariate analysis commonly used by archaeologists. Employing 'ordinary language' and real data sets, and including extensive literature reviews, the book illustrates how these statistical techniques can be applied to specific archaeological questions.

    Trade Review


    'There are many things to admire about this book. . . . [T]he treatment of the methods is very solid and to the point. I especially like the way in which Baxter explores their strengths and weaknesses in applied settings. . . . [W]ritten at a level that most archaeologists will find comprehensible.' (Mark S. Aldenderfer, American Antiquity)



    '[A]n excellent tool and reference for the practicing archaeo-statistician, as well as for the novice who wishes to get acquainted with multivariate statistical methods. In it one obtains practical advice from an experienced practitioner . . . . I like this book and recommend it.' (Kenneth L Kvamme, Archaeological Computing Newsletter)



    '[A] no-nonsense account of the main multivariate techniques used in archaeology . . . . The style is straightforward and clear, and well in tune with the needs of the reader. . . . The tone is balanced and reasonable . . . . [F]or anyone who analyses multivariate data in archaeology.' (Clive Orton, Journal of Archaeological Science)




    Table of Contents


    Introduction to the Percheron Press Edition

    Chapter 1. Multivariate Statistics in Archaeology

    Chapter 2. Univariate and Bivariate Approaches and Preliminary Data Analysis

    Chapter 3. Principal Component Analysis - The Main Ideas

    Chapter 4. Principal Component Analysis - Specialised Topics

    Chapter 5. Correspondence Analysis - The Main Ideas

    Chapter 6. Correspondence Analysis - Extensions

    Chapter 7. Cluster Analysis - The Main Ideas

    Chapter 8. Cluster Analysis - Some Problems

    Chapter 9. Discriminant Analysis - The Main Ideas

    Chapter 10. Further Aspects of Discriminant Analysis

    Chapter 11. The Final Chapter

    Appendixes

    Bibliography

    Index


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