SLOPES: Least-squares linear regression lines for bivariate datasets

Details SLOPES: Least-squares linear regression lines for bivariate datasets SLOPES: Least-squares linear regression lines for bivariate datasets

Jun 1999

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999ascl.soft06001f&link_type=abstract

Astrophysics Source Code Library, record ascl:9906.001

Astronomy and Astrophysics

Astrophysics

Scientific paper

SLOPES computes six least-squares linear regression lines for bivariate datasets of the form (x_i,y_i) with unknown population distributions. Measurement errors, censoring (nondetections) or other complications are not treated. The lines are: the ordinary least-squares regression of y on x, OLS(Y|X); the inverse regression of x on y, OLS(X_Y); the angular bisector of the OLS lines; the orthogonal regression line; the reduced major axis, and the mean-OLS line. The latter four regressions treat the variables symmetrically, while the first two regressions are asymmetrical. Uncertainties for the regression coefficients of each method are estimated via asymptotic formulae, bootstrap resampling, and bivariate normal simulation. These methods, derivation of the regression coefficient uncertainties, and discussions of their use are provided in three papers listed below. The user is encouraged to read and reference these studies.

Affiliated with

Also associated with

No associations

Rating

SLOPES: Least-squares linear regression lines for bivariate datasets 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 SLOPES: Least-squares linear regression lines for bivariate datasets, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and SLOPES: Least-squares linear regression lines for bivariate datasets will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1497933