Sentences with phrase «very robust data»

My energy cost for cars in NZ is based on retail petrol and diesel sales, a very robust data set.

The Centers for Disease Control and Prevention (CDC), the Center for Veterinary Medicine (CVM), and the US Food and Drug Administration (FDA) stand united in their position (based on very robust data) that feeding raw food to dogs is potentially dangerous to both the dog and to you.

Not exact matches

«Whether we use the last 10 years of data or the last 50 years, our theory is very robust.»

Instead, a climate scientist's expertise is the key step to finding commonalities across very different data sets or fields to explore how robust they are.»

The data set is very robust, and the modelers have done an amazing job,» says Dosmann.

«Two of our research studies analyzed several years of crash data and controlled for several variables, including traffic amounts, to account for safety of the interchanges before and after they became DDIs while taking into account DDI ramp lengths, giving us a more complete and robust sample of results that we feel is very comprehensive.»

«We see very interesting and exciting results but as a clinician - scientist, I need more robust data before I would recommend this procedure,» he said.

Authors will benefit from the robust journal activities including very rapid review (average time to decision is less than 23 days, 14 days to online publication), high visibility and impact (papers publicized on journal website, monthly newsletters, Facebook, Twitter, 2011 impact factor 3.368,), and author services (connection to nomenclature services, pre-publication annotation of data for submission to data resources and repositories, as well as video and other alternative content as part of the embedded content).

The t - statistic test is a very limited statistical test, and it is used when there are too few data points to use other more robust statistical tests.

Given the robust sample size of the survey, she added, the data «very accurately» reflects the national attitudes and opinions about pet homelessness, pet adoption and spay / neuter services.

Very few states require animal shelters to register or obtain licenses to operate, and even fewer require robust data - keeping and reporting.

The longer the time period, the more robust the time series analysis — pulling out a 20 - 30 year cycle from a 100 years worth of data is not very robust.

To summarise, initially compelling pictures whose character depends on a single year's worth of data and only if you use a very specific dataset are unlikely to be robust or provide much guidance for future projections.

Subsequent reconstructions with more data and different methods show very similar patterns (though not identical ones), and so, yes, the general impression of MBH is robust.

The differences between the quadratic acceleration numbers come from differences in the decadal to multidecadal variability in the curves which I don't consider very robust (we have shown in Rahmstorf et al. 2012 how strongly these can be affected by a small amount of «noise» in the sea - level data).

The idea that fossil fuels benefit from both direct and indirect subsidies has been around for years, but analysis has generally been done in pieces (some of it done very well — Nancy Pfund and Ben Healy at DBL Investors published an excellent analysis of direct subsidies in the U.S. a couple years back) or without complete data robust enough to stand up to critique.

It's not very inspiring work, since the answer doesn't change [indeed; your method is peculiarly robust to changes in the data it supposedly represents], but i suppose it has to get done.

Dr. Mauri Pelto: This is a very short term data set, which means it is not robust.

Our experimenting has just begun, but we are very exciting to start a more robust system of task flows, document generation, and data collection and reporting.

This allowed us to develop what ultimately became a very robust set of data to better manage the program, but that first year, from a data perspective, we were in the dark, building everything from scratch.»

Conclusion: Among others, the «lessons» that can be gleaned from the VTech and VTech USA cases include: (i) IoT / connected toys and devices remain very vulnerable in the face of haphazard / sloppy security practices; (ii) inadequate security safeguards will no longer be tolerated by regulators, particularly when children's information or other sensitive information is involved; (iii) robust and adequate security safeguards involve multi-level tiers of protection per the above; (iv) vendors should never misrepresent the state of their security practices in their privacy policies; and (iv) in a connected world, regulators are willing to work together and share data and resources to combat «deceptive and unfair practices that cross national borders» (in the words of the FTC).

John has very robust views on the War on drugs and the antiquated Rules of Civil Procedure and the extent to which judges have stopped adjudicating in courts in order to meet the Tsunami of data generated in this information age.

She continued, «This is just emblematic of such a crucial underlying issue with Facebook: they've created this incredibly powerful data operation and sell really robust data to their clients but they have very few mechanisms in place to ensure people aren't going to abuse that data.»

«This is just emblematic of such a crucial underlying issue with Facebook: they've created this incredibly powerful data operation and sell really robust data to their clients but they have very few mechanisms in place to ensure people aren't going to abuse that data.»