Sentences with phrase «effective number of degrees of freedom»

The effective number of degrees of freedom is reduced because of overlapping data.

Making things more difficult, stock returns are highly correlated from one year to the next, reducing the effective number of degrees of freedom.

To test that I varied the data sources, the time periods used, the importance of spatial auto - correlation on the effective numbers of degree of freedom, and most importantly, I looked at how these methodologies stacked up in numerical laboratories (GCM model runs) where I knew the answer already.

Not exact matches

c now determine suggested number of EOFs in training c based on rule N applied to the proxy data alone c during the interval t > iproxmin (the minimum c year by which each proxy is required to have started, c note that default is iproxmin = 1820 if variable c proxy network is allowed (latest begin date c in network) c c we seek the n first eigenvectors whose eigenvalues c exceed 1 / nproxy» c c nproxy» is the effective climatic spatial degrees of freedom c spanned by the proxy network (typically an appropriate c estimate is 20 - 40)

Foster and Rahmstorf deal with autocorrelation in an appendix to their paper by considering the reduction in the number of effective of degrees of freedom.

Did his justification change the number of effective degrees of freedom used in deciding to subtract 1 from Wien's denominator?

The effective number of spatial degrees of freedom of a time - varying field.

Since the neighboring grid points are not necessarily independent, it is not easy to know the independent number in the fields which corresponds to the «effective degree of freedom» (EDoF).