Paddy Sample Clauses

Paddy. Power and Betfair shall cooperate with each other in connection with satisfying the Regulatory Conditions and, from the date hereof until the earlier of the Effective Date and this Agreement having been terminated pursuant to its terms, shall:
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Paddy. Xxxxxxxxxx, Xxxx X.; Xxxxxxxxx, Xxxxxxxxxxx; Xxxxxxx, Xxxx. In: Journal of the Royal Statistical Society: Series A , Vol. 175, No. 1, 2012, p. 49-82. The reader is referred to the Xxxxx review article for detail but here we summarise the methods at a high level. Regression methods apply a background model based on previous knowledge or data of the surveillance scheme and consider the difference between observed and expected values (residuals), with a statistical alert being triggered when this difference exceeds some thresh- old limit derived from a probability distribution. Time series methods differ from regression by explicitly incorporating correlations (for exam- ple, the next observation will be predicted by observations made the previous day, week and/or month). Typically with such methods seasonal effects and long term trends are ac- counted, then Box-Xxxxxxx type methods are applied to account for autocorrelation. Bayesi- an and hidden Markov models offer additional complexity without the need to identify a trend explicitly. Methods associated with process control were originally derived to detect abnormalities in industrial processes and are extensions of CUSUM and EWMA (exponentially weighted moving average) control charts. CUSUM methods are implemented in the EARS syndromic surveillance scheme across the US and are good for detecting long lasting outbreaks but sensitive to changes in reporting behaviour. Scan statistics then extend control charts to detect clusters of disease. If spatial information is recorded in the surveillance scheme the distance between cases can be exploited to detect regional patterns. Common methods extend the CUSUM scan statistic or extend regression methods to account for spatial information. Multiple data streams may be available to monitor different proxies for disease manifestation (for example, laboratory data, syndromic ILI, mortality). Methods to develop detection algo- rithms to fuse these systems together have been considered. This may mean attempting to reduce the multiple observations at a given time to a single value and use a previously dis- cussed approach to detect exceedances or applying the approaches to each data set and combining the results from the tests into a single statistic. Alternatively multivariate exten- sions to spatial-temporal scan statistics have been formulated. Which method to apply to a (combination of) data set(s) will vary by context and application, and key considerations are list...
Paddy. Sl. No Refractions Maximum Limit (%) 1 Foreign matter a) Inorganic b) Organic 1.0 1.0 2 Damaged, discoloured, sprouted and weevilled grains 5.0 * 3 Immature, Shrunken and Shrivelled grains 3.0 4 Admixture of lower class 6.0 5* Moisture content 17.0 *Damaged, sprouted and weevilled grains should not exceed 4%

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