ЭБ Коллекция:https://elib.bsu.by:443/handle/123456789/932262026-04-22T12:23:51Z2026-04-22T12:23:51ZA Distance-Distance Plot for Diagnosing Multivariate OutliersWillems, G.https://elib.bsu.by:443/handle/123456789/934782023-09-21T13:40:45Z2007-01-01T00:00:00ZЗаглавие документа: A Distance-Distance Plot for Diagnosing Multivariate Outliers
Авторы: Willems, G.
Аннотация: We propose a diagnostic method that can be used whenever multiple outliers
are identified by robust estimates for multivariate location and scatter. The
main purpose is visualization of the multivariate data to help determine whether
the detected outliers (a) form a separate cluster or (b) are isolated or randomly
scattered (such as heavy tails compared with Gaussian). We make use of Mahalanobis
distances in order to check for separation and to reveal additional aspects
of the data structure. The method is especially useful if multivariate structure
is not seen in bivariate scatterplots.2007-01-01T00:00:00ZFuzzy Data and Statistical ModelingViertl, R.https://elib.bsu.by:443/handle/123456789/934772023-09-21T13:40:45Z2007-01-01T00:00:00ZЗаглавие документа: Fuzzy Data and Statistical Modeling
Авторы: Viertl, R.
Аннотация: Data are frequently not precise numbers but more or less non-precise, also
called fuzzy. Before analyzing such data the mathematical description of fuzzy
data is necessary. This is possible using fuzzy models. Based on this, descriptive
data analysis as well as statistical modeling have to be adapted. Basic methods
for this are described in this contribution.2007-01-01T00:00:00ZNadaraya-Watson Density Estimation for Interval Censored DataStoimenova, E.https://elib.bsu.by:443/handle/123456789/934762023-09-21T13:40:45Z2007-01-01T00:00:00ZЗаглавие документа: Nadaraya-Watson Density Estimation for Interval Censored Data
Авторы: Stoimenova, E.
Аннотация: This paper is concerned with the nonparametric estimation of a density function when the data are incomplete due to interval censoring. The Nadaraya-
Watson kernel density estimator is modified to allow description of such interval
data.2007-01-01T00:00:00ZOn Statistical Classification of Scientific TextsRudzkis, R.Balys, V.https://elib.bsu.by:443/handle/123456789/934752023-09-21T13:40:45Z2007-01-01T00:00:00ZЗаглавие документа: On Statistical Classification of Scientific Texts
Авторы: Rudzkis, R.; Balys, V.
Аннотация: The research considers the problem of classification of scientific texts. Models
and methods based on stochastic distribution of scientific terms are discussed.
The preliminar results of experimental study over real-world data are reported.2007-01-01T00:00:00Z