In many cases, the tool code has been rewritten (like SCCS = >
RCS = > CVS, for example, and the current make's have evolved from Stu's original), but we know where the ideas came from.
RCS = Regional Curve Standardization (method for processing tree ring data from different trees)
The relationship between continuous returns and annualized returns is
rc = ln (1 + r).
Fc = W ^ 2 * rc — centrifugal force at local barycenter (Earth - Moon); it's of course, equilibrated by gravity of third body: Fc = W ^ 2 *
rc = G (M + m3) / d ^ 3 * d m3 / (M + m3) = Gm3 / d ^ 2 = F3; M = m1 + m2;
Not exact matches
ERG response amplitudes to full field light stimulation were recorded at approximately P100 in
RCS rats injected with hNPCctx — GDNF (n
= 9), hNPCctx (n
= 21) or medium alone (n
= 3) into the subretinal space.
(hiere:
rc / d
= m3 / (m1 + m2 + m3) ~
= 1, because m3
= mass of Sun).
I tried to use Steve's R utilities for this, but I don't seem to get a valid chronology by just replacement of
RCS.chronology (tree, method
=» nls») by spline.chronology (tree, tag
=» COFECHA») Steve McIntyre (# 48), what is required to get a spline rather than exponential
RCS fit to work?
I'm not sure how the year effects compare with the
RCS chronology but the endpoint is significantly different from zero (that is, the ring width in year
= 1000).
But as Steve McIntyre said in the previous post, the Yamal
RCS chronology has a «'' statistically significant» correlation to summer temperature» with an r
= 0.55 and a t statistic of 4.29.