Sentences with phrase «average the run results»

Not exact matches

Bell said recent quarterly results have seen outperformance of about 3 to 4 percentage points better than analysts» consensus estimates on average, compared with the 5.7 percentage points earnings are currently running ahead.

A parasite, devoid of vision or ambition for the club, who is content merely to milk the profits that the club generates and run it like the average NFL franchise, where financial performance is only marginally affected by results on the field of play, or lack thereof.

There's a select group of fans that give other clubs passes for almost rans whereas when we put up similar results it's «mediocre, average, pathetic.»

Who knows... Could click and given that watford are a below average EPL team we could run away with it... Or the opposite... But that's the point we are simply a mid table outfit where any result is possible... That's wenger's legacy and why he needs to go preferably now but for sure at end of season...

One likely result: fewer home runs than the»96 average of nearly four a game.

Although one game went well under and one game went well over, ultimately there were 25 total runs scored in the two games which results in an average runs per game of 12.5 and an average total of 7.5.

we were just grinding out results with average players who ran thru walls for fergie....

Most people would also argue that on average, in the long run, working democratic institutions yield better results in terms of general well - being than policies devised by a populist leader and his family and cronies.

As a result, it argued, the environment in private prisons is generally less safe than in publicly - run prisons, where prison officers on average have more experience.

With costs running into hundreds of millions of dollars for replacement satellites, and with replacements needed every 12 to 15 years, extending a satellite's life beyond the average could result in billions in savings.

For each saccade, the burst magnitude was quantified from the raw data by counting all spikes in the time window between the two tick marks (identifying saccade onset an offset with a 20 ms lead time), and the resulting spike counts are displayed in the adjacent panels as running averages.

In a study comparing back squat versus a power clean on performance, results revealed that a power clean, the more complex movement, led to greater improvement in sprint time, velocity, and average acceleration in 20m running sprints in elite rugby players.

The results confirm the previous findings: runners with the «TT» variant of the COL5A1 genotype ran faster (5:41 versus 6:05 on average), and that group was also overrepresented in the «fast and inflexible» quadrant of subjects.

Result: runs lasted 15 minutes and over, which was around 2 minutes on average longer than with the ice longsword, its elemental weakness.

The results in all three schools run by the high - performing Bedfordshire - based Trust which have Year 6 pupils are well above the national average in writing (grammar, punctuation and spelling), in reading and in maths.

To test the fuel economy of all four trucks, PickupTrucks.com ran them both unloaded, and burdened with a 10,000 - pound trailer, averaging the results from each test.

With an Escort's GT2 Vehicle Performance Computer monitoring the action, we start from a level stopped position, calibrate the device before each run, repeat each test at least three times, and average the results.

While our LAPTOP Battery Test (web surfing via 4G) didn't run to completion, it lasted 8 hours and 20 minutes with 25 percent left; extrapolating the results gave us an impressive estimated runtime of 10:35, well above the 6:48 category average for tablets..

After all, didn't UPS drop on weak guidance the last time it announced results, 4 but then hold its 50 - day moving average and run back toward its old highs?

In my small unique book «The small stock trader» I also had more detailed overview of tens of stock trading mistakes (http://thesmallstocktrader.wordpress.com/2012/06/25/stock-day-trading-mistakessinceserrors-that-cause-90-of-stock-traders-lose-money/): • EGO (thinking you are a walking think tank, not accepting and learning from you mistakes, etc.) • Lack of passion and entering into stock trading with unrealistic expectations about the learning time and performance, without realizing that it often takes 4 - 5 years to learn how it works and that even +50 % annual performance in the long run is very good • Poor self - esteem / self - knowledge • Lack of focus • Not working ward enough and treating your stock trading as a hobby instead of a small business • Lack of knowledge and experience • Trying to imitate others instead of developing your unique stock trading philosophy that suits best to your personality • Listening to others instead of doing your own research • Lack of recordkeeping • Overanalyzing and overcomplicating things (Zen - like simplicity is the key) • Lack of flexibility to adapt to the always / quick - changing stock market • Lack of patience to learn stock trading properly, wait to enter into the positions and let the winners run (inpatience results in overtrading, which in turn results in high transaction costs) • Lack of stock trading plan that defines your goals, entry / exit points, etc. • Lack of risk management rules on stop losses, position sizing, leverage, diversification, etc. • Lack of discipline to stick to your stock trading plan and risk management rules • Getting emotional (fear, greed, hope, revenge, regret, bragging, getting overconfident after big wins, sheep - like crowd - following behavior, etc.) • Not knowing and understanding the competition • Not knowing the catalysts that trigger stock price changes • Averaging down (adding to losers instead of adding to winners) • Putting your stock trading capital in 1 - 2 or more than 6 - 7 stocks instead of diversifying into about 5 stocks • Bottom / top fishing • Not understanding the specifics of short selling • Missing this market / industry / stock connection, the big picture, and only focusing on the specific stocks • Trying to predict the market / economy instead of just listening to it and going against the trend instead of following it

So, others would be clammering for the stock, driving up the price, resulting in an a premium price that results in an average return... the same return you'd find in an index over the long run.

Dollar Cost Averaging into 100 % Stocks a1 $ 497218 a2 $ 796149 a3 $ 565313 a4 $ 470566 a5 $ 502360 a6 $ 736770 a7 $ 353582 a8 $ 389387 Here are the results of runs a1 to a8 when I varied allocations in accordance with P / E10.

Keep in mind that this yield is also more than 150 basis points higher than its five - year average, which leads back to one of the points I made earlier about undervaluation and higher yield (which then results in more current income, more aggregate income, and potentially higher total return over the long run).

Because higher long - run average returns result from bearing moderate risk.

Out of a couple of thousand runs, the average was 3degC with only one or two results at 11degC.

This was also demonstrated for land - only model output (R. McKitrick, personal communication) in which a 24 - year record (1979 - 2002) of GISS - E results indicated an amplification factor of 1.25 averaged over the five runs.

I know absolutely that many FEA runs using exact «perfect» data on a «perfect» crystal or pure piece of metal machined exactly per the model dimensions under loads exactly as described by the modeled equations will yield (on average) results similar to the average of many model runs.

Just run more simulations (which they laughingly call experiments) and average the results!

«Instead of averaging the model forecasts to get a result whose surface trends match reality, the earlier study looked at the widely scattered range of results from all of the model runs combined.

If I take a general average, and it gets the same results as you doing some sort of fancy running mean, with a weighted, binned average method to back up your results, it doesn't make a lick of difference.

Due to the sensitivity on initial values also within limits of reasonable agreement with real weather patterns at a specific moment of time, the interesting results come from averages over many model runs or over long enough periods to remove the dependence on initial values.

Worse, each run using identical input yields different results, so they average several runs.

One of the consequences is that if you run multiple computer simulations of earth's climate, then average the results, the simulated ENSO events get scattered throughout time and end up being averaged out, so that the model average ends up looking like it doesn't have a strong ENSO impact even though the individual model runs do.

As a result, final averages for 2016 should be slightly lower than averages for the period running from December to September.

The appropriate frame is that they track * climate * — that is, the «average» warming that results from considering the many possible temperature trajectories that reality could have taken, and which various model runs evince.

[CAPTION: Fig. 1 Violinplots of monthly surface temperature results for 9 GISS ER historical model runs (1880 - 2003), their average (orange), and the HadCRUT3 global surface temperature dataset (red).

Fig. 1 Violinplots of monthly surface temperature results for 9 GISS ER historical model runs (1880 - 2003), their average (orange), and the HadCRUT3 global surface temperature dataset (red).

If we were to average say 100,000 runs of a single model, we will get a very highly autocorrelated result.

(You also make the mistake of using 10 - year running averages, which results in an upward «blip» at the end, i.e. today, when there is really a very slight downward «blip», as we all know.)

My results shown in the table in the first link below agree well with those in Marvel using the run averages, but the individual runs in my decadal analysis are similar to those were I used yearly regression and show large trend differences with some forcing categories having very wide CI ranges.

The firm was also rated well above the UK average in all of the categories in the most recent Client Satisfaction Report — a result due in part to its deployment of non-lawyer relationship managers, who run independent client review sessions to gather candid feedback and develop client - specific innovations.

On average, hit and runs result in 1500 deaths annually and seriously injure many more.

Diablo 3 was the best result — it ran at an average of 128 frames per second.

The difference is most clear and advantageous in multi-core scores, however, and single - core results are actually surprisingly similar between the runs with and without benchmark cheating, with the single core score actually being higher on average without manipulation.

Digital Media - Ran a tight multi-platform social media campaign resulting in a 35 % increase in page visits, a 10 % increase in average time on site, and a 3 % increase in clickthrough rate.

It's true, you can save some money and write your own resume, there are even free templates that can help you, but most of them are run - of - the - mill and most results are below average.

If you own a two bedroom house, you probably ran a search for two bedroom, single family homes in your general area and averaged out the results.