These are
average growth curves for wild, mother - raised baby cottontails.
Since every puppy is different,
the average growth curve may notmatch exactly.
Every puppy is different, so expect
the average growth curve to look different as well.
Since every puppy is different,
the average growth curve may not match exactly.
So you KNOW that RCS can use a number of functions to fit
the average growth curve, but you chose in your post to criticise it on the basis of just one?
So you KNOW that RCS relies on using tree growth spread through the chronology to best derive
the average growth curve, but you chose in your post to split up the series by time before calculating your RCS curves?
Not exact matches
While the combination of rapid credit
growth and below -
average interest rates suggests that financial conditions remain expansionary, the slope of the yield
curve, as measured by the spread between the yield on 10 - year bonds and the cash rate, suggests a somewhat different picture.
However, given time and the law of
averages, profit opportunities began to fade (the returns on assets tell this story) so they had to go farther out on the risk
curve to sustain income
growth.
If it is any consolation, the
average efficiency of coal plants in China has been rising decisively — that doesn't bend down the emissions
curve, but it slows the
growth.
Additional chart info: the red - dotted
curve is a basic 36 - month moving
average; the green
curve is 6th order fitted trend of monthly measurements; and the grey area represents the cumulative per cent
growth of atmospheric CO2 levels.
The trend at the end of the 20th century was twice the
average trend of the 20th century, and AGW would predict that ratio based on the CO2
growth curve.
The 1700's also has a depressed chronology: the RCS
curve for the Yamal 12 sits below the full RCS
curve in DO's plot simply because temperatures during the period of early
growth of these 12 trees were below
average, if not necessarily the lowest.
That could induce the apparently u-shaped age /
growth curve across populations and subpopulations, even if every single tree has its own unique, on -
average linear
growth rate.
The
average growth (age) pattern of the four «dead» cores is close to the regional
curve for the first 100 years before diverging upwards.
The whole point of the exercise is that I can calculate the
growth curve used if the process for calculating the chronology was to divide by the
growth curve and then
average the results for a given year.
Thus, the environmental effect tended to
average out and no «life» group had a dominant influence in determining the shape of the
growth curve.
The other aspect of this post, which is to look at the RCS
average curve for subsets of the data, and then express surprise when differences are found, completely misses the point of the RCS method in the first place which is to first remove the common
growth - related signal from the entire series before looking at any environmental influence.
Kenneth, Ihave figured out that the dendros «cheat» by fitting their
growth curves to precalculated
averages for each age year.
If you are looking at the hybrid non-linear situation where the
growth curve adjustment is applied as a ratio, but the estimation of the climate effect is done as an
average, then the calculations can be problematical and I would suggest an iterative procedure.
In tree ring chronologies, the traditional method has been to divide out a
growth curve and then to
average out the results to form the chronology.