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  • Statistics In Transition


Article | 15-September-2020

Applying data synthesis for longitudinal business data across three countries

M. Jahangir Alam, Benoit Dostie, Jörg Drechsler, Lars Vilhuber

Statistics in Transition New Series, Volume 21 , ISSUE 4, 212–236

Article | 15-September-2020

Skew normal small area time models for the Brazilian annual service sector survey

produce estimates with acceptable precision for service activities in the North, Northeast and Midwest regions of the country. Therefore, the use of small area estimation models may provide acceptable precise estimates, especially if they take into account temporal dynamics and sector similarity. Besides, skew normal models can handle business data with asymmetric distribution and the presence of outliers. We propose models with domain and time random effects on the intercept and slope. The results

André Felipe Azevedo Neves, Denise Britz do Nascimento Silva, Fernando Antônio da Silva Moura

Statistics in Transition New Series, Volume 21 , ISSUE 4, 84–102

Research Article | 03-March-2021

An application of a complex measure to model–based imputation in business statistics

similar techniques: ratio imputation, regression imputation, regression imputation with iteration, predictive mean matching and the propensity score method. The second study presented in the paper involved a simulation of missing data using IT business data from the California State University in Los Angeles, USA. The results show that models with a strong dependence on functional form assumptions can be improved by using a complex measure to summarize the predictor variables rather than the variables

Andrzej Młodak

Statistics in Transition New Series, Volume 22 , ISSUE 1, 1–28

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