ЭБ Коллекция: https://elib.bsu.by:443/handle/123456789/94274 Tue, 21 Apr 2026 09:09:28 GMT 2026-04-21T09:09:28Z A compositional approach to contingency tables https://elib.bsu.by:443/handle/123456789/94688 Заглавие 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. Fri, 01 Jan 2010 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/94688 2010-01-01T00:00:00Z Application of cox regression model for left-truncated data https://elib.bsu.by:443/handle/123456789/94687 Заглавие 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. Fri, 01 Jan 2010 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/94687 2010-01-01T00:00:00Z Limit theorems for the critical Galton-Watson branching process with state-dependent immigration https://elib.bsu.by:443/handle/123456789/94686 Заглавие 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. Fri, 01 Jan 2010 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/94686 2010-01-01T00:00:00Z Statistical forecasting based on Bloomfield exponential model https://elib.bsu.by:443/handle/123456789/94685 Заглавие 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. Fri, 01 Jan 2010 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/94685 2010-01-01T00:00:00Z