Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 1

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  SMALL SAMPLE
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1

Porównanie modeli regresji logistycznej odpornych na problem całkowitego rozdzielenia

100%
Fijorek K.
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
|
2012
|
issue 884
143-156
EN
Applying logistic regression to small-sized data sets very often leads to the problem of complete separation. Generally speaking, separation is caused by a linear combination of covariates that perfectly separates successes (events) from failures (non-events). In such cases, results obtained by maximum likelihood method should not be trusted, since at least one parameter estimate diverges to infinity. A systematic review of the literature resulted in two theoretically sound procedures which always arrive at finite estimates, i.e. those of H. Heinze and S. Schemper (2002) and also R. Rousseeuw and C. Christmann (2003). The main goal of the paper is to compare them.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.