6 papers · 1 filter
On the analysis of sequential designs without a specified number of observations
Anna Klimova, Tamás Rudas
The paper focuses on sequential experiments for categorical responses in which whether or not a further observation is made depends on the outcome of a previous experiment. Example…
On the use of historical estimates
Ori Davidov, Tamas Rudas
The use of historical estimates in current studies is common in a wide variety of application areas. Nevertheless, despite their routine use the uncertainty associated with histori…
Reducing Variance with Sample Allocation Based on Expected Response Rates
Blanka Szeitl, Tamás Rudas
Several techniques exist to assess and reduce nonresponse bias, including propensity models, calibration methods, or post-stratification. These approaches can only be applied after…
Hierarchical Aitchison-Silvey models for incomplete binary sample spaces
Anna Klimova, Tamás Rudas
Multivariate sample spaces may be incomplete Cartesian products, when certain combinations of the categories of the variables are not possible. Traditional log-linear models, which…
On the role of the overall effect in exponential families
Anna Klimova, Tamás Rudas
Exponential families of discrete probability distributions when the normalizing constant (or overall effect) is added or removed are compared in this paper. The latter setup, in wh…
Relational models for contingency tables
Anna Klimova, Tamás Rudas, Adrian Dobra
The paper considers general multiplicative models for complete and incomplete contingency tables that generalize log-linear and several other models and are entirely coordinate fre…