Statistics in Practice A new series of practical books outliningthe use of statistical techniques in a wide range of applicationareas:
The authors of this important text explore the processes throughwhich archaeologists analyse their data and how these can be mademore rigorous and effective by sound statistical modelling. Theyassume relatively little previous statistical or mathematicalknowledge. Introducing the idea underlying the Bayesian approach tothe statistical analysis of data and their subsequentinterpretation, the authors demonstrate the major advantage of thisapproach, i.e. that it allows the incorporation of relevant priorknowledge or beliefs into the analysis. By doing so it provides alogical and coherent way of updating beliefs from those held beforeobserving the data to those held after taking the data intoaccount. To illustrate the power and effectiveness of mathematicaland statistical modelling within the Bayesian framework, a varietyof real case studies are presented covering areas of commoninterest to archaeologists. These case studies cover applicationsin areas such as radiocarbon dating, spatial analysis, provenancestudies and other dating methods. Background to these case studiesis provided for those readers not so familiar with the subject.Thus, the book provides an examination of the theoretical andpractical consequences of Bayesian analysis for examining problemsin archaeology. Students of archaeology and related disciplines andprofessional archaeologists will find the book an informative andpractical introduction to the subject.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Caitlin E. Buck is a British archaeologist and statistician specialising the application of Bayesian statistics to archaeology, and known for her work in radiocarbon dating. She is a professor in the Department of Mathematics and Statistics at the University of Sheffield.
William G. Cavanagh is the author of Bayesian Approach to Intrepreting Archaeological Data, published by Wiley.
Cliff D. Litton is the author of Bayesian Approach to Intrepreting Archaeological Data, published by Wiley.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. Statistics in Practice A new series of practical books outliningthe use of statistical techniques in a wide range of applicationareas: Human and Biological SciencesEarth and Environmental SciencesIndustry, Commerce and Finance The authors of this important text explore the processes throughwhich archaeologists analyse their data and how these can be mademore rigorous and effective by sound statistical modelling. Theyassume relatively little previous statistical or mathematicalknowledge. Introducing the idea underlying the Bayesian approach tothe statistical analysis of data and their subsequentinterpretation, the authors demonstrate the major advantage of thisapproach, i.e. that it allows the incorporation of relevant priorknowledge or beliefs into the analysis. By doing so it provides alogical and coherent way of updating beliefs from those held beforeobserving the data to those held after taking the data intoaccount. To illustrate the power and effectiveness of mathematicaland statistical modelling within the Bayesian framework, a varietyof real case studies are presented covering areas of commoninterest to archaeologists. These case studies cover applicationsin areas such as radiocarbon dating, spatial analysis, provenancestudies and other dating methods. Background to these case studiesis provided for those readers not so familiar with the subject.Thus, the book provides an examination of the theoretical andpractical consequences of Bayesian analysis for examining problemsin archaeology. Students of archaeology and related disciplines andprofessional archaeologists will find the book an informative andpractical introduction to the subject. This book explores the processes through which archaeologists analyze data and describes how these techniques can be made more rigorous and effective by sound statistical modelling. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780471961970
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Etat : New. This book explores the processes through which archaeologists analyze data and describes how these techniques can be made more rigorous and effective by sound statistical modelling. Series: Statistics in Practice. Num Pages: 402 pages, line drawings, halftones. BIC Classification: HDA; HDW; PBT. Category: (P) Professional & Vocational. Dimension: 162 x 237 x 35. Weight in Grams: 776. . 1996. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9780471961970
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Hardcover. Etat : new. Hardcover. Statistics in Practice A new series of practical books outliningthe use of statistical techniques in a wide range of applicationareas: Human and Biological SciencesEarth and Environmental SciencesIndustry, Commerce and Finance The authors of this important text explore the processes throughwhich archaeologists analyse their data and how these can be mademore rigorous and effective by sound statistical modelling. Theyassume relatively little previous statistical or mathematicalknowledge. Introducing the idea underlying the Bayesian approach tothe statistical analysis of data and their subsequentinterpretation, the authors demonstrate the major advantage of thisapproach, i.e. that it allows the incorporation of relevant priorknowledge or beliefs into the analysis. By doing so it provides alogical and coherent way of updating beliefs from those held beforeobserving the data to those held after taking the data intoaccount. To illustrate the power and effectiveness of mathematicaland statistical modelling within the Bayesian framework, a varietyof real case studies are presented covering areas of commoninterest to archaeologists. These case studies cover applicationsin areas such as radiocarbon dating, spatial analysis, provenancestudies and other dating methods. Background to these case studiesis provided for those readers not so familiar with the subject.Thus, the book provides an examination of the theoretical andpractical consequences of Bayesian analysis for examining problemsin archaeology. Students of archaeology and related disciplines andprofessional archaeologists will find the book an informative andpractical introduction to the subject. This book explores the processes through which archaeologists analyze data and describes how these techniques can be made more rigorous and effective by sound statistical modelling. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780471961970
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