Statistical analysis using SAS software package for data of 2×2 contingency table

2009 ◽  
Vol 7 (7) ◽  
pp. 678-682
Author(s):  
LP Hu
Radiocarbon ◽  
2013 ◽  
Vol 55 (2) ◽  
pp. 720-730 ◽  
Author(s):  
Christopher Bronk Ramsey ◽  
Sharen Lee

OxCal is a widely used software package for the calibration of radiocarbon dates and the statistical analysis of 14C and other chronological information. The program aims to make statistical methods easily available to researchers and students working in a range of different disciplines. This paper will look at the recent and planned developments of the package. The recent additions to the statistical methods are primarily aimed at providing more robust models, in particular through model averaging for deposition models and through different multiphase models. The paper will look at how these new models have been implemented and explore the implications for researchers who might benefit from their use. In addition, a new approach to the evaluation of marine reservoir offsets will be presented. As the quantity and complexity of chronological data increase, it is also important to have efficient methods for the visualization of such extensive data sets and methods for the presentation of spatial and geographical data embedded within planned future versions of OxCal will also be discussed.


1986 ◽  
Vol 30 (1) ◽  
pp. 14-18 ◽  
Author(s):  
Andrew M. Cohill ◽  
David M. Gilfoil ◽  
John V. Pilitsis

A methodology for evaluating applications software is proposed, using five different categories of criteria. Three of the categories, functionality, usability, and performance, are tailored for each class of applications software. The other two categories, support and documentation, have generic criteria that can be applied to all types of application software. After a software package has been scored according to the criteria of a category, statistical analysis is used to convert the raw data to a numeric score that can be used to make between-product comparisons. The methodology has been successfully tested with UNIX-based* word processing and data base packages.


2007 ◽  
Vol 9 (3) ◽  
Author(s):  
Joseph Denooz

AbstractSince 1961 the Laboratory for statistical analysis of ancient languages (LASLA) at the University of Liège has recorded a high number of ancient Latin texts in a computer format. For each of the approximately 1,800,000 words of the corpus lexicological, morphological and syntactical information has been entered. The complete data bank is now accessible through the Internet: an inquiry software package makes it possible for any researcher to look up all occurrences of a specific language feature either in the whole corpus or in the works of a given writer. Research can be done either on a lexis item, or on a type of subordination, or again on the basis of morphological features. The system, which still has to be further developed, is available for anyone who files a request.


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