Artur Gramacki – författare
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4 produkter
4 produkter
Inbunden, Engelska, 2025
1 172 kr
Skickas inom 5-8 vardagar
Making a study of East Germanic iron smelting in the Roman period, this open access book gives an in-depth account of the development of metallurgy in the Przeworsk Culture. Its two main ironmaking centres – the Holy Cross Mountains and Masovia – were the largest iron production regions beyond the borders of the Roman Empire. Apart from serving local demand – where it was used for artefacts of many kinds, which are abundantly found in grave furnishings – a considerable part of Przeworsk Culture iron is likely to have been exported to other territories. Despite more than 60 years of research and scholarship on Przeworsk Culture iron metallurgy, this is the first book to carry out smelting slag and ore analyses using the most up-to-date methods available in archaeological science. More specifically, this study also applies a variety of statistical methods to the results of the elemental analyses of nearly 270 smelting slag and ore samples from its territory. Offering an overview of statistical approaches used in iron provenance studies and a detailed step-by-step research methodology, this book paves the way for future studies, including artefact provenance analyses using the latest archaeometric methods.The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Research reported in this book was funded by the National Science Centre Poland. Open access was funded by Grzegorz Zabinski.
Häftad, Engelska, 2026
492 kr
Kommande
Making a study of East Germanic iron smelting in the Roman period, this open access book gives an in-depth account of the development of metallurgy in the Przeworsk Culture. Its two main ironmaking centres – the Holy Cross Mountains and Masovia – were the largest iron production regions beyond the borders of the Roman Empire. Apart from serving local demand – where it was used for artefacts of many kinds, which are abundantly found in grave furnishings – a considerable part of Przeworsk Culture iron is likely to have been exported to other territories. Despite more than 60 years of research and scholarship on Przeworsk Culture iron metallurgy, this is the first book to carry out smelting slag and ore analyses using the most up-to-date methods available in archaeological science. More specifically, this study also applies a variety of statistical methods to the results of the elemental analyses of nearly 270 smelting slag and ore samples from its territory. Offering an overview of statistical approaches used in iron provenance studies and a detailed step-by-step research methodology, this book paves the way for future studies, including artefact provenance analyses using the latest archaeometric methods.The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Research reported in this book was funded by the National Science Centre Poland. Open access was funded by Grzegorz Zabinski.
Del 37 - Studies in Big Data
Nonparametric Kernel Density Estimation and Its Computational Aspects
Inbunden, Engelska, 2018
1 540 kr
Skickas inom 10-15 vardagar
This book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques. A very detailed description of novel FFT-based algorithms for both KDE computations and bandwidth selection are presented.The theory of KDE appears to have matured and is now well developed and understood. However, there is not much progress observed in terms of performance improvements. This book is an attempt to remedy this.The book primarily addresses researchers and advanced graduate or postgraduate students who are interested in KDE and its computational aspects. The book contains both some background and much more sophisticated material, hence also more experienced researchers in the KDE area may find it interesting.The presented material is richly illustrated with many numerical examples using both artificial and real datasets. Also, a number of practical applications related to KDE are presented.
Del 37 - Studies in Big Data
Nonparametric Kernel Density Estimation and Its Computational Aspects
Häftad, Engelska, 2019
1 540 kr
Skickas inom 10-15 vardagar
This book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques.