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  • - An Archaeology of Destruction
    af James W. Hardin
    834,95 kr.

    This volume focuses on the reconstruction of household organization during the Iron II period at Tell Halif. It centers in particular on one four-room, pillared-type building located in Area F7 of Field IV and on its remains, which were sealed in a massive destruction that eclipsed the site in the late eighth century B.C.E. This study was first prepared as a Ph.D. dissertation for the Department of Near Eastern Studies at the University of Arizona (Hardin 2001) and has since been amplified and embellished by further research. Published here are the results of research deliberately designed by the author to provide for more complete recovery and detailed recording in the field of all artifacts and other remains within a special refined three-dimensional grid matrix. These data in turn established a framework for studying the formation processes active on the materials and for conducting a spatial analysis of the assemblages in the building. Along with developing ethnographic and ethnoarchaeological inferences, these techniques are used to identify activities, activity areas, and social organization related to the building, ultimately defining an ?archaeological household? consisting of the pillared dwelling and its occupants. Finally, these conclusions are also related to reconstructions of the Iron II-period household suggested by Hebrew Bible sources.

  • af James W. Hardin
    1.159,95 kr.

    This second edition of a bestseller incorporates comments and suggestions from a variety of sources, including the Statistics.com course on longitudinal and panel models taught by the authors. Along with doubling the number of end-of-chapter exercises, this edition offers more thorough coverage of hypothesis testing and diagnostics, expands discussion of various models associated with GEE, and provides a new presentation of model selection procedures. Numerous examples are employed throughout the text, along with the software code used to create, run, and evaluate the models being examined.

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