Clients of financial advisors may need to ask for extra information, but advisors can do themselves, and their clients, a ...
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Breath samples in DWI cases originally thought to be inaccurate due to data errors were determined to be accurate
The Minnesota Bureau of Criminal Apprehension says DWI breath tests administered with equipment that had data errors were accurate. At least 447 cases across the state were put into question after the ...
Statistics Canada says it will delay publishing international trade data for September because of the government shutdown in the United States. (The Canadian Press) Statistics Canada says it will ...
Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter. The Office for National Statistics has revised down UK government borrowing for the current fiscal year by £2bn ...
Abstract: Deep learning techniques have been widely adopted in daily life with applications ranging from face recognition to recommender systems. The substantial ...
One of the most popular parts of tools for HDDs and SSDs is to pull information about how a drive is performing in order to try and predict failures. This technology was first introduced as SMART ...
The U.K.’s statistics agency said it has identified an error affecting calculations of consumer-price inflation, raising new questions about the reliability of its ...
A car tax data calculation error caused the U.K.'s inflation rate to be overstated by 0.1 percentage points for the year to April, the Office for National Statistics ...
In any data assimilation framework, the background error covariance statistics play the critical role of filtering the observed information and determining the ...
We present a test of different error estimators for 2-point clustering statistics, appropriate for present and future large galaxy redshift surveys. Using an ensemble ...
If you are working with a large dataset, knowing its standard deviation is handy as it will let you know the variability in the given dataset. You get to see the degree of asymmetry in your dataset ...
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