Sentences with phrase «curve fitting if»

Yes, all science is in fact curve fitting if you think about it.
What's the point of curve fitting if you're not a #QuarterBack?

Not exact matches

If you don't mind your shape, then show off your curves with slim fitting clothes that accentuate your small waist.
If parents were given the breastfed baby growth charts to look at they may find that their babe fits that curve just fine!
However, if you don't mind your shape, then show off your curves with slim fitting clothes that accentuate your small waist.
If you feel like your jeans just aren't fitting the same way (even after you are back to pre-baby weight), that could just be because the hips separate and essentially your body has changed (hey, curves are hot mama!)
1) Belly belt - helps getting your stomach and muscles half way back to normal, recommend to use when 1 ~ 7 days after vaginal birth 2) Waist belt - helps flatten the belly, redefine the waistline, relief back pain, combined the use with stomach belt will accelerate the effectiveness, recommend to use 1 ~ 6 weeks after vaginal birth or stitching healing from c - section 3) Pelvis belt - helps speeding up the contraction of pelvis and stretched to fit the natural curves of your body Size: Only one size fit UK size 10 - 14 (If you are purchasing after birth, choose based on your current waist size) Belly belt — 37.4» x 9», Fits Stomach 26» -36.7» Waist belt — 41.3» x 9», Fits waistline 26» -39» Pelvis belt — 43.3» x 6», Fits hipline 32.7» -42» In order to help you get your body back to its former post childbirth more quickly, we recommend you combine exercise and calorie control with the use of this product, you will see a BIG difference very soon.
If we ignore a few bumps with time scales of a decade or so, the curve is surprisingly well fit by a pure exponential.
If you ever watch a woman carrying a baby on her hip, you will notice that the baby fits perfectly into that inward curve of her stomach (between the lower ribs and upper hip) like a missing puzzle piece.
And if you want to finally fit into your «skinny jeans», feel proud to show off your bum and legs in a bikini, and enjoy the feeling of how a form fitting dress hugs your sexy curves...
If we fit a quadratic curve to these points, it predicts a peak rate of glycogen synthesis with 70 % glucose, 30 % fructose:
The jeans are made for people with curves, so if you are between sizes, the smaller size will likely fit you the best.
If you don't feel like you're ready to fit into corsets just yet, prepare slowly by wearing body shapers underneath tight dresses; it will look amazing and your natural curves will be perfectly accentuated.
They hug my curves in just the right places and they seem to never not fit, if that makes any sense.
Light - colored ribbed turtleneck dresses are pretty unforgiving, even if you're as fit as but the singer throws us a major curveball (and curve - enhancer) by layering coordinating pants — not slimming tights — under hers.
If you have any curves (chest / hips) this shirt will not fit.
Gap jeans fit great if you have some curve.
If you find a pair of jeans that speak to you, hug every curve and make you think they were literally painted on, do your Superbowl touchdown dance in the fitting room.
If you have a figure that doesn't have many curves for your jeans to fit, try buying a pair of jeans with extra flair to create the illusion of a more shapely figure that fills out your jeans better.
When I shop in women's, the hems are six inches too long, shirts are loose in the chest area, and clothes are just overall baggy - but if I shop in the children's section, the garments don't really fit my curves right either.
If you've to show off your beautiful curves then wear your black body suit with fitting black pants.
You can match them with both loose - fitting comfy jeans and even skinnies if you are proud of your curves.
I recommend ordering true to size or even sizing down if you want a more curve - hugging fit.
If you're trying to wear joggers to work avoid jersey like material and tight styles, opt for a fit that grazes your curves.
They don't fit right, especially if you have any sort of curves.
And just as thought, when I slipped her over my head and zipped her up to find she fit my curves perfectly — it was as if the dress knew all along what it took me months to finally accept: that no one can resist a hot fudge sundae.
If you love your curves, don't be afraid to wear tight - fitting clothing and always do your best to shop at places that have this type of clothing available.
It's not fit for everyone, but if you get past the glitches and the high difficulty curve, you'll find an enjoyable and addictive game.
Second, it should be perfectly fine for any student to do deep dives as they see fit, but again in balance: there are other competencies needed to becoming a more complete individual, and if one is ahead of the curve in a specific topic, it is of course very tempting to follow one's passion.
VAM - based scores can be easily constructed and manufactured by those charged with constructing such figures and graphs, also because tests themselves are also constructed to fit normal curves; hence, it is actually quite easy to distribute such scores around a bell curve, even if the data do not look nearly as clean from the beginning (they never do) and even if these figures do not reflect reality.
So we grab a coffee while a new set of pads is fitted, along with a pair of the optional 20in rims for the front to see if they give less understeer through the Palmer Curves.
They are the target audience for this device and I assure you, if you fit this criteria when looking for a BlackBerry, then the BlackBerry Curve 3G will suit you just fine.
If we zoom in to the top quarter of the range in the chart below, we don't even need to fit curves to see Amazon's 2016 print - sales growth: it's visible to the naked eye.
[* Geek's Note - The single variable version above is not estimated directly (there are better parameterizations possible if you want to «fit the curve» in a visually satisfying way).
Yes if models were simply a curve fitting exercise, then any difference between predicted and actual climate would falsify a model.
If you extend that curve fit backwards another 100 years, it is unlikely to make much sense against observations.
So, if the sheep population is going down, but you need something going up to do your curve fit, fine — just multiply by a negative number!
Now here it comes: if you fit a quadratic (by the standard least - squares method) to this sea - level curve, the quadratic term (i.e. the acceleration) is negative!
Fitting a curve through 10 years of data isn't a very good idea — if you use the full set you obviously get a very different answer.
'' if you fit a quadratic (by the standard least - squares method) to this sea - level curve, the quadratic term (i.e. the acceleration) is negative!»
This is the problem with what are often called «curve - fitting» standardisation methods — they remove differences in mean growth rate between tree cores even if the difference arises from climate changes that we are trying to reconstruct.
It is also possible to get the opposite problem (artificially introducing climatic variation that is not real), if you use too flexible of a curve during the fitting.
In the long run none of this matters if the goal is true sustainability because if you do sustainability and populaton peaks this century, the population emergency is averted and per capita consumption can rise on a curve fitted to the population decline.
If the process says that each 10 year chunk is dominated by a completely different set of «cycles,» that seems to put the nail in the coffin of the idea that climate is really driven by as yet undiscovered natural cycles and clearly shows that such attempts are just exercises in curve fitting)
Even if you detrend the dCO2 - temperature curve (that means zero contribution to the trend), you will find the same fit.
If you do a true curve fit and fit the data to any any exogenous variable with ah upward trend, you can fit the data.
Thus if my formula holds, there is no conflict at all, and a 0.8 °C cooling during the LIA gives a drop of about 6 ppmv (which is observed in the ice cores, with a 50 years lag), the increase of 1 °C in the period 1850 - current gives ~ 8 ppmv increase, the rest is from the emissions, which nicely fit the curve with an incredible straightforward ratio:
3) If you want to project the data, you need to calculate the change in heat year by year over the whole interval, and find which curve is the best fit to that data.
Dan, I'm not sure which ~ 60 yr cycle Tamino is referring to, but if you are pursuing a line + cycle curve - fit for the instrumental temperature record, you should know that an exponential + sine is a better fit to temps than the line + sine model.
If both have to be estimated from the same time series data (with or without «optimal» smoothing), then you have «curve fitting».
a b c d e f g h i j k l m n o p q r s t u v w x y z