Sentences with phrase «sqrt for»

Not exact matches

Pardon my ignorance, but we're now halfway through a doubling of CO2 since preindustrial times (the current 392 ppm divided by sqrt (2) is 277 ppm, right in the 260 - 280 ppm range given by Wikipedia for the level just before the industrial emissions began).

For a selected metrics of «yearly average», the result comes from 730 samples, such that the error in this average is about SQRT (730) = 27 smaller than the 1C individual error, or about 0.03 C. Therefore, for a given time period the slope of linear fit is a very precise characteristic at that particular locatiFor a selected metrics of «yearly average», the result comes from 730 samples, such that the error in this average is about SQRT (730) = 27 smaller than the 1C individual error, or about 0.03 C. Therefore, for a given time period the slope of linear fit is a very precise characteristic at that particular locatifor a given time period the slope of linear fit is a very precise characteristic at that particular location.

That is, for a desired error bound for the year it is sufficient that the individual error bounds be sqrt (n) larger.

In the simplest idealization, for example, a linear spring with spring constant K attached to a perfectly rigid support at one end and a point mass M on the other will oscillate at a radial frequency sqrt (K / M), or a pendulum of length L in a constant gravity field with acceleration g will oscillate about the equilibrium at a frequency of sqrt (g / L).

That simplifies the discussion as then we can estimate \ (2 \ sigma \ approx 2 -LCB- \ sqrt -LCB- V / (N - 1)-RCB--RCB- \), where N is given by the number of uncorrelated Atlantic ocean areas between 20 ° N and 20 ° S. With a correlation length of ∼ 10 — 15 ° we obtain a rough estimate of N ≈ 12 for the tropical Atlantic sector.

For very large s this simplifies to k = y» / (sqrt (s) * y» ³), which tends to zero as s tends to infinity, while for very small s it becomes k = sy», which again tends to zero but this time as s tends to zero instead of infiniFor very large s this simplifies to k = y» / (sqrt (s) * y» ³), which tends to zero as s tends to infinity, while for very small s it becomes k = sy», which again tends to zero but this time as s tends to zero instead of infinifor very small s it becomes k = sy», which again tends to zero but this time as s tends to zero instead of infinity.

Let me add to my previous comment that obviously — though not obviously enough for me to previously notice --[sqrt (n)- sqrt (n - 1)-RSB- = 1 / [sqrt (n) + sqrt (n - 1)-RSB-

Also, if a constant volume is added each year, the ring width for year n would be proportional to [sqrt (n)-- sqrt (n - 1)-RSB-.

Instead, Trmse (Month i) = StDev (30 Daily Min + 30 Daily Max) / sqrt (60) If we assume a flat constant avg temp of 10 deg C for the month, coming from thirty 5 deg C min readings and 15 deg C max readings.

Multiplying the standard deviation by sqrt (5) provides a crude adjustment for the autocorrelation, bringing the standard deviation to 0.068 W / m ².