title: Kernel estimates for one- and two-dimensional ion channel dwell-time densities.
abstract: In this paper, we compare nonparametric kernel estimates with smoothed histograms as methods for displaying logarithmically transformed dwell-time distributions. Kernel density plots provide a simpler means for producing estimates of the probability density function (pdf) and they have the advantage of being smoothed in a well-specified, carefully controlled manner. Smoothing is essential for multidimensional plots because, with realistic amounts of data, the number of counts per bin is small. Examples are presented for a 2-dimensional pdf and its associated dependency-difference plot that display the correlations between successive dwell times.
authors.affiliation: Departamento de Matemáticas, Instituto Venezolano de Invetigaciones Científicas, Caracas 1020-A, Venezuela. rrosales@cauchy.ivic.ve
authors.forename: Rafael A
authors.initials: RA
authors.lastname: Rosales
authors.forename: William J
authors.initials: WJ
authors.lastname: Fitzgerald
authors.forename: Stephen B
authors.initials: SB
authors.lastname: Hladky
mesh_terms: D007473:Ion Channels / Q000502:physiology*; D007700:Kinetics; D008954:Models, Biological; D018709:Statistics, Nonparametric; D013997:Time Factors
chemical_list: D007473:Ion Channels