Full-chip leakage current estimation based on statistical sampling techniques

2008 ◽  
Author(s):  
Shaobo Liu ◽  
Qinru Qiu ◽  
Qing Wu
Keyword(s):  
Leakage Current ◽  
Sampling Techniques ◽  
Statistical Sampling ◽  
Current Estimation

scholarly journals An Evaluation Of The Negative Binomial Method For Tests Of Controls

2011 ◽  
Vol 13 (2) ◽  
pp. 65
Author(s):  
John P. Wendell ◽  
Terry Gregson
Keyword(s):  
Negative Binomial Distribution ◽  
Binomial Distribution ◽  
Negative Binomial ◽  
Statistical Technique ◽  
New Method ◽  
Sampling Techniques ◽  
Statistical Sampling

<span>Auditors often use statistical sampling techniques to test controls. Dhavale (1991) presents a new statistical technique based on the negative binomial distribution for this purpose. This article examines in detail the properties of the new method. The article also provides the computational details necessary to apply the new method. The article concludes that the new method may be useful to auditors in some circumstances.</span>

Leakage current estimation of CMOS circuit with stack effect

2004 ◽  
Vol 19 (5) ◽  
pp. 708-717 ◽  
Author(s):  
Yong-Jun Xu ◽  
Zu-Ying Luo ◽  
Xiao-Wei Li ◽  
Li-Jian Li ◽  
Xian-Long Hong
Keyword(s):  
Leakage Current ◽  
Cmos Circuit ◽  
Stack Effect ◽  
Current Estimation

An Efficient Technique for Leakage Current Estimation in Nanoscaled CMOS Circuits Incorporating Self-Loading Effects

2010 ◽  
Vol 59 (7) ◽  
pp. 922-932 ◽  
Author(s):  
Alodeep Sanyal ◽  
Ashesh Rastogi ◽  
Wei Chen ◽  
Sandip Kundu
Keyword(s):  
Leakage Current ◽  
Efficient Technique ◽  
Cmos Circuits ◽  
Current Estimation ◽  
Loading Effects

Systematic, Intensive Surface Collection

1970 ◽  
Vol 35 (3) ◽  
pp. 279-291 ◽  
Author(s):  
Charles L. Redman ◽  
Patty Jo Watson
Keyword(s):  
Statistical Analyses ◽  
Detailed Knowledge ◽  
Sampling Techniques ◽  
Statistical Sampling ◽  
Contour Maps ◽  
Intuitive Method ◽  
A Site ◽  
Tabulated Data

AbstractArchaeologists would agree that the cultural debris lying on the surface of a site in some way reflects what is buried below. However, few attempts have been made to discover just how closely one can predict from detailed knowledge of surface distributions what he will find if he digs.In October and November, 1968, surface collections based on statistical sampling techniques were made at two mounds in Diyarbakir Vilayet, Turkey. The tabulated data were put into the form of contour maps. We find that study of these maps, singly or in combination as overlays, suggests numerous hypotheses that can be formulated much more precisely than those deriving from the usual intuitive method based on simple inspection of the site surface. Soundings were made to test some of the major hypotheses. The results of the soundings plus subsequent statistical analyses suggest that intensive, systematic surface collection is an extremely useful technique for determining where to dig. It is also highly productive of testable hypotheses relevant to the total interpretation of the site.

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