نتایج جستجو برای: descriptive statistics frequency

تعداد نتایج: 743967  

Journal: :Transylvanian Review of Systematical and Ecological Research 2014

2010
Mohamed Hegazy Karim Hegazy

The main objective of this research is to assess whether UK listed companies comply with the U.K code of corporate governance regarding audit committees and disclosure arrangements. The research also aims at testing whether the companies’ size and board composition affect the management’s decision to comply with the requirements of the U.K code. Data was collected from the U.K listed FTSE compa...

Journal: :Evidence Based Library and Information Practice 2007

2017
Matthew J. Hayat Amanda Powell Tessa Johnson Betsy L. Cadwell

Statistical literacy and knowledge is needed to read and understand the public health literature. The purpose of this study was to quantify basic and advanced statistical methods used in public health research. We randomly sampled 216 published articles from seven top tier general public health journals. Studies were reviewed by two readers and a standardized data collection form completed for ...

2003
Sampsa Fabritius Raimondas Lencevicius Edu Metz Alexander Ran

Processor Frequencies Sampsa Fabritius Raimondas Lencevicius Edu Metz Alexander Ran Nokia Mobile Phones, Sinitaival 5, FIN-33720 Tampere, Finland Nokia Research Center, 5 Wayside Road, Burlington, MA 01803, USA [email protected] [email protected] [email protected] [email protected] Abstract. This paper describes a new approach to experimentally estimate the applica...

2001
SIMON J. BLOTT KENNETH PYE

Grain size analysis is an essential tool for classifying sedimentary environments. The calculation of statistics for many samples can, however, be a laborious process. A computer program called GRADISTAT has been written for the rapid analysis of grain size statistics from any of the standard measuring techniques, such as sieving and laser granulometry. Mean, mode, sorting, skewness and other s...

2007
Gerald Stermsek Mark Strembeck Gustaf Neumann

We present an approach to derive user profiles from observing user behavior. In particular, we use Web server log files and meta data describing page contents to extract user interests. In the derivation process, we apply descriptive statistics, like page access frequency, as well as more sophisticated means, such as network analysis methods. The approach requires that appropriate meta-data des...

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