Sample-to-sample variations and biases in estimates of two-point correlation functions

Details Sample-to-sample variations and biases in estimates of two-point correlation functions Sample-to-sample variations and biases in estimates of two-point correlation functions

Oct 1992

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992pasj...44..481i&link_type=abstract

PASJ: Publications of the Astronomical Society of Japan (ISSN 0004-6264), vol. 44, no. 5, p. 481-492.

Statistics

Computation

8

Angular Correlation, Computational Astrophysics, Dark Matter, Data Simulation, Galactic Clusters, Galactic Mass, Astronomical Models, Data Correlation, Galactic Structure, Red Shift

Scientific paper

A quantitative estimate of the sample-to-sample variations of two-point correlation functions was obtained by extracting subsamples from N-body simulation data, and the extent to which these subsamples reproduce the correlation functions estimated from the entire data was examined. The method used was more direct than that used in the studies of Barrow et al. (1984) and Ling et al. (1986): rather than estimating the variations of the correlation functions from pseudosamples which were created from single data sets as has been done in the previous investigations, several independent ensembles with different geometries were created in the present study. Thus, the problem was assessed more quantitatively and precisely.

Affiliated with

Also associated with

No associations

Rating

Sample-to-sample variations and biases in estimates of two-point correlation functions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Sample-to-sample variations and biases in estimates of two-point correlation functions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Sample-to-sample variations and biases in estimates of two-point correlation functions will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1870937