Density Estimation Export

@article{citeulike:352081, abstract = {This paper provides a practical description of density estimation based on kernel methods. An important aim is to encourage practicing statisticians to apply these methods to data. As such, reference is made to implementations of these methods in R, S-PLUS and SAS.}, author = {Sheather, Simon J.}, citeulike-article-id = {352081}, citeulike-linkout-0 = {http://projecteuclid.org:80/Dienst/UI/1.0/Summarize/euclid.ss/1113832723}, journal = {Statistical Science}, keywords = {bandwidth, densityestimation, estimation, nonparametric, plugin, review}, number = {4}, pages = {588--597}, posted-at = {2005-10-16 18:15:42}, priority = {2}, title = {Density Estimation}, url = {http://projecteuclid.org:80/Dienst/UI/1.0/Summarize/euclid.ss/1113832723}, volume = {19}, year = {2004} }

TY - JOUR ID - citeulike:352081 L3 - citeulike-article-id:352081 N2 - This paper provides a practical description of density estimation based on kernel methods. An important aim is to encourage practicing statisticians to apply these methods to data. As such, reference is made to implementations of these methods in R, S-PLUS and SAS. IS - 4 JF - Statistical Science EP - 597 TI - Density Estimation VL - 19 SP - 588 KW - bandwidth KW - densityestimation KW - estimation KW - nonparametric KW - plugin KW - review AU - Sheather, Simon PY - 2004/// UR - http://projecteuclid.org:80/Dienst/UI/1.0/Summarize/euclid.ss/1113832723 ER -