Sentences with phrase «huge variables for»

Not exact matches

As for Radiohead, the band has said that variable pricing was, for it, a big success, though the group did eventually end the offer, leading some to believe that it couldn't have been a huge moneymaker.

Huge disclaimer: There are many variables here, and some have been left out for the sake of simplicity.

There are various filling technologies for liquid and dry products and product filling machines can be rotary or inline, intermittent or continuous motion, semi-automatic or fully automatic with various filling technologies to cater for the huge range of product variables and user requirements, each offering unique advantages.

70 % to 90 % output will create strength and strength endurance adaptation; but if you are looking to build a huge gas tank, there are ways to adjust the variables of the ropes exercise to get 30 % to 70 % output for longer periods of time.

What makes these kinds of online dating sites so successful is their huge search databases that allow singles to search by a number of variables (age, religion, location, occupation, interests, etc.) for the kind of person they are hoping to meet.

But when most variables are controlled for, it looks like improvements attainment in primary school between 1999 and 2003 were a huge factor in increasing attainment in secondary schools.

For many homeowners, paying the monthly mortgage payment is a huge undertaking, especially for those homeowners who have a variable rate mortgage thatFor many homeowners, paying the monthly mortgage payment is a huge undertaking, especially for those homeowners who have a variable rate mortgage thatfor those homeowners who have a variable rate mortgage that...

We'd need a huge spreadsheet to calculate these interest and inflation variables (rate, term, etc.), but for the moment — for simplicity's sake — let's view these scenarios as a relative comparison against each other.)

The credit function can be outsourced to financial factoring companies, which means that their international credit department suddenly becomes a variable expense, rather than a huge fixed cost that is hard to budget for.

If PPTP is a relevant variable for a shelter's performance, then one would think that these shelters, which are all performing at a similar high level, would all have a similar PPTP, but instead the variation in PPTP is huge.

Face it, somethings are not knowable in simple straightforward terms, and the planet's climate, considering the huge number of variables and the timespan and sparse data sets for such a huge system is a perfect example of that kind of «impossible to summarize in a single sentence» scenario that you seem to think it «should» be.

Because the work is based on modeling at a high level to see how species are impacted in their range, it's hard to account for variables that will ultimately make a huge difference for species trying to survive climate change.

Finally, modeling an airplane wing is much, much, much simpler than modeling the climate for three huge reasons: equilibrium, knowledge of variables and conditions, and complexity.

In the predictive sense, Lasso may work a bit better than L2 (gaussian prior) with a huge number of variables, but it is not favored for inference, that is, where the coefficients of the model are interpreted, because as a prior it is unnatural.

You then asked «Or perhaps you can point me to the dataset that shows, for several individual locations for the same period as the temperature set the: * CO2 concentrations (OK, we could use Mauna Loa for that) * Aerosols (sorry, can't use global records for that, there can be huge differences on a local scale) * Absolute humidity * TSI with correction for local albedo, including cloud albedo, and the place on earth» Well actually, I can and have for the USA in terms of CO2, humidity (RH but AH also if you insist), and albedo, not to mention actual solar surface radiation, and various other variables (eg windspeed), as I have previously reported here for quite a few locations, eg Pt Barrow.

This became a huge issue for variable life insurance policyholders after the 2008 market crash.