Now showing items 11-20 of 40845
A family of experiments to validate measures for UML activity diagrams of ETL processes in data warehouses
In data warehousing, Extract, Transform, and Load (ETL) processes are in charge of extracting the data from the data sources that will be contained in the data warehouse. Their design and maintenance is thus a cornerstone ...
Modeling grouped survival data with time-dependent covariates
(Taylor & Francis Inc, 2006-10-01)
In this article, proportional hazards and logistic models for grouped survival data were extended to incorporate time-dependent covariates. The extension was motivated by a forestry experiment designed to compare five ...
The generalized log-gamma mixture model with covariates: local influence and residual analysis
(SPRINGER HEIDELBERG, 2009)
In a sample of censored survival times, the presence of an immune proportion of individuals who are not subject to death, failure or relapse, may be indicated by a relatively high number of individuals with large censored ...
A log-linear regression model for the beta-Birnbaum-Saunders distribution with censored data
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
The beta-Birnbaum-Saunders (Cordeiro and Lemonte, 2011) and Birnbaum-Saunders (Birnbaum and Saunders, 1969a) distributions have been used quite effectively to model failure times for materials subject to fatigue and lifetime ...
DataMock: An Agile Approach for Building Data Models from User Interface Mockups
(Springer Heidelberg, 2017-02)
In modern software development, much time is devoted and much attention is paid to the activity of data modeling and the translation of data models into databases. This has motivated the proposal of different approaches ...
Competing regression models for longitudinal data
The choice of an appropriate family of linear models for the analysis of longitudinal data is often a matter of concern for practitioners. To attenuate such difficulties, we discuss some issues that emerge when analyzing ...
Modeling vague spatial data warehouses using the VSCube conceptual model
Although many real world phenomena are vague and characterized by having uncertain location or vague shape, existing spatial data warehouse models do not support spatial vagueness and then cannot properly represent these ...
Missing data mechanisms and their implications on the analysis of categorical data
We review some issues related to the implications of different missing data mechanisms on statistical inference for contingency tables and consider simulation studies to compare the results obtained under such models to ...
A Generalized Log-Normal Model for Grouped Survival Data
(Taylor & Francis Inc, 2014)
Statistical analysis of controlled calibration model with replicates
(Taylor & Francis LtdAbingdonInglaterra, 2013)