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.

The volume presents contributions to the analysis of data in the information age - a challenge of growing importance. Scientists and professionals interested in classification, data analysis, and statistics will find in this book latest research results as well as applications to economics (especially finance and marketing), archeology, bioinformatics, environment, and health.

Intriguing examination of works by Aristotle, Galileo, Newton, Pasteur, Einstein, Margaret Mead, and other scientists in terms of subjectivity and the Bayesian approach to statistical analysis. "An insightful work." — Choice. 2001 edition.

This text reviews the theory, concepts, and basic methods involved in archaeological analysis with the aim of familiarizing both students and professionals with its underlying principles. Topics covered include the nature and presentation of data; database and research design; sampling and quantification; analyzing lithics, pottery, faunal, and botanical remains; interpreting dates; and archaeological illustration. A glossary of key terms completes the book.

The first book to group together and analyze all the chronology construction methods used in different disciplines, 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. It is truly interdisciplinary and designed to enable cross fertilization of techniques.

This second edition of the classic textbook, The Archaeologist’s Laboratory, is a substantially revised work that offers updated information on the archaeological work that follows fieldwork, such as the processing and analysis of artifacts and other evidence. An overarching theme of this edition is the quality and validity of archaeological arguments and the data we use to support them. The book introduces many of the laboratory activities that archaeologists carry out and the ways we can present research results, including graphs and artifact illustrations. Part I introduces general topics concerning measurement error, data quality, research design, typology, probability and databases. It also includes data presentation, basic artifact conservation, and laboratory safety. Part II offers brief surveys of the analysis of lithics and ground stone, pottery, metal artifacts, bone and shell artifacts, animal and plant remains, and sediments, as well as dating by stratigraphy, seriation and chronometric methods. It concludes with a chapter on archaeological illustration and publication. A new feature of the book is illustration of concepts through case studies from around the world and from the Palaeolithic to historical archaeology.The text is appropriate for senior undergraduate students and will also serve as a useful reference for graduate students and professional archaeologists.

This analysis is concerned with the dating of megaliths in Europe and is based on 2410 available radiocarbon results and the application of a Bayesian statistical framework. It is, so far, the largest existing attempt to establish a supra-regional synthesis on the emergence and development of megaliths in Europe.

The Chalcolithic, the phase in prehistory when the important technical development of adding tin to copper to produce bronze had not yet taken place, is not a term generally used by British prehistorians and whether there is even a definable phase is debated. Is There a British Chalcolithic? brings together many leading authorities in 20 papers that address this question. Papers are grouped under several headings. 'Definitions, Issues, and Debate' considers whether appropriate criteria apply that define a distinctive period (c. 2450 - 2150 cal BC) in cultural, social, and temporal terms with particular emphasis on the role and status of metal artifacts and Beaker pottery. 'Continental Perspectives' addresses various aspects of comparative regions of Europe where a Chalcolithic has been defined. 'Around Britain and Ireland' presents a series of large-scale regional case studies where authors argue for and against the adoption of the term. The final section, 'Economy, Landscapes, and Monuments', looks at aspects of economy, land-use and burial tradition and provides a detailed consideration of the Stonehenge and Avebury landscapes during the period in question. The volume contains much detailed information on sites and artifacts, and comprehensive radiocarbon datasets that will be invaluable to scholars and students studying this enigmatic but pivotal episode of British Prehistory. Additional information originally found on included CD ROM can be downloaded here: https://books.casematepublishers.com/Is_There_a_British_Chalcolithic.pdf

DNA evidence is widely used in the modern justice system. Statistical methodology plays a key role in ensuring that this evidence is collected, interpreted, analysed and presented correctly. This book is a guide to assessing DNA evidence and presenting that evidence in a courtroom setting. It offers practical guidance to forensic scientists with little dependence on mathematical ability, and provides the scientist with the understanding they require to apply the methods in their work. Since the publication of the first edition of this book in 2005 there have been many incremental changes, and one dramatic change which is the emergence of low template DNA (LTDNA) profiles. This second edition is edited and expanded to cover the basics of LTDNA technology. The author's own open-source R code likeLTD is described and used for worked examples in the book. Commercial and free software are also covered.

An essential, up-to-date guide to the design of studies and selection of the correct QoL instruments for observational studies and clinical trials. Quality of Life (QoL) outcomes or Person/Patient Reported Outcome Measures (PROMs) are now frequently being used in randomised controlled trials (RCTs) and observational studies. This book provides a practical guide to the design, analysis and interpretation of studies that use such outcomes. QoL outcomes tend to generate data with discrete, bounded and skewed distributions. Many investigators are concerned about the appropriateness of using standard statistical methods to analyse QoL data and want guidance on what methods to use. QoL outcomes are frequently used in cross-sectional surveys and non-randomised health-care evaluations. Provides a user-friendly guide to the design and analysis of clinical trials and observational studies in relation to QoL outcomes. Discusses the problems caused by QoL outcomes and presents intervention options to help tackle them. Guides the reader step-by-step through the selection of appropriate QoLs. Features exercises and solutions and a supporting website providing downloadable data files. Illustrated throughout with examples and case studies drawn from the author’s experience, this book offers statisticians and clinicians guidance on choosing between the numerous available QoL instruments.