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Kategorie szczegółowe BISAC

Bayesian Approach to Intrepreting Archaeological Data

ISBN-13: 9780471961970 / Angielski / Twarda / 1996 / 404 str.

Caitlin E. Buck; Clifford D. Litton; William G. Cavanagh
Bayesian Approach to Intrepreting Archaeological Data Caitlin E. Buck Clifford D. Litton William G. Cavanagh 9780471961970 John Wiley & Sons - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Bayesian Approach to Intrepreting Archaeological Data

ISBN-13: 9780471961970 / Angielski / Twarda / 1996 / 404 str.

Caitlin E. Buck; Clifford D. Litton; William G. Cavanagh
cena 723,71 zł
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Statistics in Practice A new series of practical books outlining the use of statistical techniques in a wide range of application areas:
* Human and Biological Sciences
* Earth and Environmental Sciences
* Industry, Commerce and Finance
The authors of this important text explore the processes through which archaeologists analyse their data and how these can be made more rigorous and effective by sound statistical modelling. They assume relatively little previous statistical or mathematical knowledge. Introducing the idea underlying the Bayesian approach to the statistical analysis of data and their subsequent interpretation, the authors demonstrate the major advantage of this approach, i.e. that it allows the incorporation of relevant prior knowledge or beliefs into the analysis. By doing so it provides a logical and coherent way of updating beliefs from those held before observing the data to those held after taking the data into account. To illustrate the power and effectiveness of mathematical and statistical modelling within the Bayesian framework, a variety of real case studies are presented covering areas of common interest to archaeologists. These case studies cover applications in areas such as radiocarbon dating, spatial analysis, provenance studies and other dating methods. Background to these case studies is provided for those readers not so familiar with the subject. Thus, the book provides an examination of the theoretical and practical consequences of Bayesian analysis for examining problems in archaeology. Students of archaeology and related disciplines and professional archaeologists will find the book an informative and practical introduction to the subject.

Kategorie:
Nauka
Kategorie BISAC:
Science > General
Social Science > Archaeology
Mathematics > Twierdzenie Bayesa
Wydawca:
John Wiley & Sons
Seria wydawnicza:
Statistics in Practice
Język:
Angielski
ISBN-13:
9780471961970
Rok wydania:
1996
Numer serii:
000022326
Ilość stron:
404
Waga:
0.73 kg
Wymiary:
23.67 x 15.95 x 2.87
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Bibliografia

The Bayesian Approach to Statistical Archaeology.

Outline of the Approach.

Modelling in Archaeology.

Quantifying Uncertainty: The Probability Concept.

Statistical Modelling.

Bivariate and Multivariate Distributions.

Bayesian Inference.

Implementation Issues.

Interpretation of Radiocarbon Results.

Spatial Analysis.

Sourcing and Provenancing.

Application to Other Dating Methods.

The Way Forward.

References.

Index.

Statistics in Practice A new series of practical books outlining the use of statistical techniques in a wide range of application areas:

  • Human and Biological Sciences
  • Earth and Environmental Sciences
  • Industry, Commerce and Finance
The authors of this important text explore the processes through which archaeologists analyse their data and how these can be made more rigorous and effective by sound statistical modelling. They assume relatively little previous statistical or mathematical knowledge. Introducing the idea underlying the Bayesian approach to the statistical analysis of data and their subsequent interpretation, the authors demonstrate the major advantage of this approach, i.e. that it allows the incorporation of relevant prior knowledge or beliefs into the analysis. By doing so it provides a logical and coherent way of updating beliefs from those held before observing the data to those held after taking the data into account. To illustrate the power and effectiveness of mathematical and statistical modelling within the Bayesian framework, a variety of real case studies are presented covering areas of common interest to archaeologists. These case studies cover applications in areas such as radiocarbon dating, spatial analysis, provenance studies and other dating methods. Background to these case studies is provided for those readers not so familiar with the subject. Thus, the book provides an examination of the theoretical and practical consequences of Bayesian analysis for examining problems in archaeology. Students of archaeology and related disciplines and professional archaeologists will find the book an informative and practical introduction to the subject.



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