ЭБ Раздел:https://elib.bsu.by:443/handle/123456789/932102026-04-20T12:21:52Z2026-04-20T12:21:52ZData Analysis Using R and a Graphical InterfaceDutter, R.https://elib.bsu.by:443/handle/123456789/935392023-09-21T13:40:46Z2007-01-01T00:00:00ZЗаглавие документа: Data Analysis Using R and a Graphical Interface
Авторы: Dutter, R.
Аннотация: The computer program system R provides efficient analysis methods for almost any
kind of applied problems in statistics and is running on many computer platforms. It
is developed on a non-commercial basis and therefore for many practitioners hard to
use, nevertheless widely known.2007-01-01T00:00:00ZOn Statistical Analysis of Markov Chains under Missing ValuesYarmola, A. N.Kharin, Yu. S.https://elib.bsu.by:443/handle/123456789/935362023-09-21T13:40:46Z2007-01-01T00:00:00ZЗаглавие документа: On Statistical Analysis of Markov Chains under Missing Values
Авторы: Yarmola, A. N.; Kharin, Yu. S.
Аннотация: In this paper we proposed methods of statistical analysis of Markov chains
with missing values in the case of unknown lags between observations. The
problem of statistical estimation of lags is studied.2007-01-01T00:00:00ZComplexity Metrics and Exploratory Analysis of DNA SequencesRekasius, T.https://elib.bsu.by:443/handle/123456789/935352023-09-21T13:40:46Z2007-01-01T00:00:00ZЗаглавие документа: Complexity Metrics and Exploratory Analysis of DNA Sequences
Авторы: Rekasius, T.
Аннотация: A new measure of the distance between nucleotide sequences and the efficient
method for visualisation of nucleotide sequences have been proposed. It facilitates
visualisation of a long DNA sequence via a compact and smooth picture of
all oligonucleotides of length up to 10 in the sequence.2007-01-01T00:00:00ZModel Testing for High-Dimensional Contingency Tables with Application in GeneticsRadavicius, M.Zidanaviciute, J.https://elib.bsu.by:443/handle/123456789/935332023-09-21T13:40:46Z2007-01-01T00:00:00ZЗаглавие документа: Model Testing for High-Dimensional Contingency Tables with Application in Genetics
Авторы: Radavicius, M.; Zidanaviciute, J.
Аннотация: In the paper it is supposed that random sequences is a finite-order Markov
chain. The analysis of high order interactions in such sequences leads to large and
sparse contingency tables. A special data presentation form and data transformation
via multidimensional scaling enables us to apply generalized logit model and
reduce the problem to the fitting nonparametric multinomial logistic regression
with a few quantitative variables.2007-01-01T00:00:00Z