SAS for Monte Carlo Studies

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出版者:SAS Publishing
作者:Xitao Fan; Akos Felsovalyi; Stephen A. Sivo; Sean C. Keenan
出品人:
页数:272
译者:
出版时间:2003-01-01
价格:USD 46.95
装帧:Paperback
isbn号码:9781590471418
丛书系列:
图书标签:
  • SAS 
  • 金融 
  • 数据分析 
  •  
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With the advance of computing technology, Monte Carlo simulation research has become increasingly popular among quantitative researchers in a variety of disciplines. More and more, statistical methods are being subjected to rigorous empirical scrutiny in the form of statistical simulation so that their limitations and strengths can be understood. With the combination of powerful built-in statistical procedures and versatile programming capabilities, SAS is ideal for conducting Monte Carlo simulation research Xitao Fan, Akos Felsovalyi, Stephen Sivo, and Sean Keenan's SAS for Monte Carlo Studies: A Guide for Quantitative Researchers provides detailed and practical guidance for conducting Monte Carlo studies using SAS. Quantitative researchers will find this book attractive for its practicality and for its many hands-on application examples of Monte Carlo research.

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