ЭБ Коллекция:https://elib.bsu.by:443/handle/123456789/942742026-04-21T11:21:49Z2026-04-21T11:21:49ZA compositional approach to contingency tablesEgozcue, J. J.Pawlowsky-Glahn, V.https://elib.bsu.by:443/handle/123456789/946882023-09-22T08:57:23Z2010-01-01T00:00:00ZЗаглавие документа: A compositional approach to contingency tables
Авторы: Egozcue, J. J.; Pawlowsky-Glahn, V.
Аннотация: The longitudinal studies has increased the importance of statistical methods for time-to event data that can incorporate time-dependent covariates. Cox proportional regression model(Cox, 1972) is one such method that is widely used. It is a statistical technique for exploring the relationship between the survival of a patient and several explanatory variables. The follow-up time may range from few weeks to many years.2010-01-01T00:00:00ZApplication of cox regression model for left-truncated dataBelaskova, E.Fiserova, S.https://elib.bsu.by:443/handle/123456789/946872023-09-22T08:57:23Z2010-01-01T00:00:00ZЗаглавие документа: Application of cox regression model for left-truncated data
Авторы: Belaskova, E.; Fiserova, S.
Аннотация: The longitudinal studies has increased the importance of statistical methods for time-to event data that can incorporate time-dependent covariates. Cox proportional regression model(Cox, 1972) is one such method that is widely used. It is a statistical technique for exploring the relationship between the survival of a patient and several explanatory variables.2010-01-01T00:00:00ZLimit theorems for the critical Galton-Watson branching process with state-dependent immigrationAzimov, J. B.https://elib.bsu.by:443/handle/123456789/946862023-09-22T08:57:23Z2010-01-01T00:00:00ZЗаглавие документа: Limit theorems for the critical Galton-Watson branching process with state-dependent immigration
Авторы: Azimov, J. B.
Аннотация: Asymptotic behaviors of critical Gait on-Watson branching process with state-dependent immigration are studied.2010-01-01T00:00:00ZStatistical forecasting based on Bloomfield exponential modelVoloshko, V. A.Kharin, Yu. S.https://elib.bsu.by:443/handle/123456789/946852023-09-22T08:57:23Z2010-01-01T00:00:00ZЗаглавие документа: Statistical forecasting based on Bloomfield exponential model
Авторы: Voloshko, V. A.; Kharin, Yu. S.
Аннотация: Forecasting of stationaxy time series based on the Bloomfield model is considered. The mean-square risk of forecasting is analyzed for the situation with known parameters of the model.2010-01-01T00:00:00Z