Sentences with phrase «same curve fitting»

I use the same curve fitting equations as before.

Not exact matches

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!)
I used the same easy method as the other skirts, which pretty much involves creating a curved waistband to fit your waist measurement, plus seam allowances.
They hug curves and shape at the same time to help with fit.
The first thing I noticed was just how well the BlackBerry Curve 9320 smartphone fit in my hand, and how good it looks at the same time.
These trends are derived from exactly the same data as those used in the original figure, that was used to argue that the global warming had stopped — by two professors and a statistician, the very same who performed curve - fitting and removed data not fitting their conclusion.
The red curves, representing the best - fit are all over the place, and they differ from one sequence to the next, although they are all part of the same original time series.
Even if you detrend the dCO2 - temperature curve (that means zero contribution to the trend), you will find the same fit.
A simple curve fit of data taken for the same month of each year reveals beautiful exponential curves with R ^ 2 values over 0.99.
If both have to be estimated from the same time series data (with or without «optimal» smoothing), then you have «curve fitting».
I would say the same regarding the curve - fitting of Liu et al cited by Gail Combs above.
(Actually he's only using 11 coefficients because if you scale Amp1 by x and divide Scale1 through Scale5 by x you get back the same curve with the same fit, i.e. the coefficients are not linearly independent.
On the same graph, I have a shown a normal curve, fit to the data.
It turns out that we can give answers to all of these questions, using the same Hubbert linearizations and normal curve fits that we use for oil.
However, although its simple linear regression analysis facilities (including polynomials) provides automatically the option for plotting the fit with CIs for the fitted line / curve and for future observations from the same population, I am unsure about these intervals for autocorrelated data — typically time series.
Following the time - honored principle that if a moron can find the same result then it is nothing special and likely wrong, I am attempting my own SSN curve fitting.
I believe the same source told me that a metric buttload could be substituted by fitting it to the metric crap - tonne curve, but you either have to hard code in a correction factor (standard practice is to do so without comment), or you have to truncate the metric buttload plot at the end year of the curve fitting period to avoid the divergence problem.
They seem to be in essence curve fits of some variation on a random walk, tweaked to have an overall upward bias and to manage to match some historical data in some ways (or as some studies suggest, tweaked to match each other even more than being tweaked to match reality), with the same question that any curve fit therefore has as to whether there is any reason to believe it matches the real world process generating the data.
It makes little difference what the arbitrary function is — it is simply fitting a curve and they all have the same shape.
I would suggest that the appropriate way to do that would be to start with the same periods 1850 - 1950 and 1950 - 2010, do the same curve - fitting, and then calculate the whole 1650 - 2011 period and see how it compares.
It's got the same curved 1.5 - inch Super AMOLED screen as the original Gear Fit fitness tracker.
Otherwise, the Note 8's fit and finish are exactly the same as the S8, with glass panels that elegantly curve into a metal frame.
Here the Gear 2 Neo wins out — it is about the same width, but taller than the G Watch, and it has a curve to its back design that allows it to fit on your wrist more comfortably.
The curved screen could allow for some functionality activated using the edges, but the main benefit is likely the same as on the S7 Edge and Note 7; fitting a large screen into a small body.
But we're pretty certain it's going to cost $ 200 stateside, with the same exact curved 1.5 - inch Super AMOLED display as the non-Pro Gear Fit 2 from last year.
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