Del 177 - Lecture Notes in Statistics

Tools for Constructing Chronologies

Crossing Disciplinary Boundaries

Häftad, Engelska, 2004

639 kr

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Tools for Constructing Chronologies focuses on ways of getting more out of existing chronological data by careful analysis. It surveys a range of cutting edge methods in chronology construction and seeks to enable cross-disciplinary fertilisation of ideas. The specially invited papers cover a range of timescales, from the perspectives of a number of disciplines. The methods used range from complex statistical treatments, to (non-statistical) considerations of how to systematically represent relative dating information. Each chapter can be read alone, but they are also carefully cross-referenced. The editors' introductory essay provides a cross-disciplinary overview of the state of chronology construction methods, and highlights the links between them. This book will appeal to a wide range of researchers, scientists and graduate students using chronologies in their work; from applied statisticians to archaeologists, geologists and paleontologists, to those working in bioinformatics and chronometry.

Produktinformation

Utgivningsdatum2004-01-19
Mått155 x 235 x 16 mm
Vikt435 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Statistics
Antal sidor260
Upplaga2004
FörlagSpringer London Ltd
ISBN9781852337636

Tillhör följande kategorier

Matematisk statistik inom Naturvetenskap och teknik

1 Bayesian Chronological Data Interpretation: Where Now?.- 2 Pragmatic Bayesians: a Decade of Integrating Radiocarbon Dates into Chronological Models.- 3 Bayesian Inference of Calibration Curves: Application to Archaeomagnetism.- 4 The Synchronization of Civilizations in the Eastern Mediterranean in the Second Millennium BC: Natural Science Dating Attempts.- 5 Applications of Formal Model Choice to Archaeological Chronology Building.- 6 Complicated Relations and Blind Dating: Formal Analysis of Relative Chronological Structures.- 7 Genealogies from Time-Stamped Sequence Data.- 8 Tephrochronology and its Application to Late Quaternary Environmental Reconstruction, with Special Reference to the North Atlantic Islands.- 9 Constructing Chronologies of Sea-Level Change from Salt-Marsh Sediments.- 10 A Framework for Analysing Fossil Record Data.- 11 Taking Bayes Beyond Radiocarbon: Bayesian Approaches to Some Other Chronometric Methods.

From the reviews: "Here's a good book on 'dating' that, luckily, won't find its way to the self-help section of your local bookstore!" Journal of the American Statistical Association, December 2005 "The main focus of the volume is a better analysis of chronological data ... . The editors have done a good job ... . I recommend reading the preface first to get the full benefit out of this volume. This volume is aimed towards applied statisticians, archaeologists, and geologists, among others. By reading this volume, one gets the feeling that statistics is a wonderful subject and is useful in many walks of life!" (Technometrics, Vol. 49 (2), 2007) "This book provides techniques of extracting more information out of existing data. ... is structured in a very interesting way. ... many different scientific disciplines are covered throughout the book, providing real-life, and current examples with their associated problems. ... the structure of this book allows statisticians to become familiar with this field ... . one of the book's greatest strengths is how it allows the reader to become completely involved in the construction of chronologies, thus promoting further thought and development in this area." (Alex Brink, SASA News, September, 2005) "Taking my cue from the title of this book, the tools in question are statistical tools, principally Bayesian ones ... . They present a useful overview in their preface and have made cross-links from one chapter to another. ... What the book offers is a strong message that good statistical modeling is of huge assistance in building reliable chronologies and understanding their limitations, as well as calling for greater cross-fertilization between (sub)disciplines in respect of the statistical advances and tools ... ." (M. C. Jones, Journal of the Royal Statistical Society, Vol. 168 (1), 2005)