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Article | 15-September-2020

Model selection in radon data fusion

Xuze Zhang, Saumyadipta Pyne, Benjamin Kedem

Statistics in Transition New Series, Volume 21 , ISSUE 4, 159–165

Article | 06-July-2017

VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION

Daniel Hernandez-Stumpfhauser, F. Jay Breidt, Jean D. Opsomer

Statistics in Transition New Series, Volume 17 , ISSUE 1, 91–104

Research paper | 01-November-2017

COVARIATE SELECTION FOR SMALL AREA ESTIMATION IN REPEATED SAMPLE SURVEYS

If the implementation of small area estimation methods to multiple editions of a repeated sample survey is considered, then the question arises which covariates to use in the models. Applying standard model selection procedures independently to the different editions of the survey may identify different sets of covariates for each edition. If the small area predictions are sensitive to the different models, this is undesirable in official statistics since monitoring change over time of

Jan A. van den Brakel, Bart Buelens

Statistics in Transition New Series, Volume 16 , ISSUE 4, 523–540

Research Article | 30-March-2017

ANALYSIS OF POSSIBILITIES FOR THE USE OF VOLUME-DELAY FUNCTIONS IN THE PLANNING MODULE OF THE TRISTAR SYSTEM

deployed across the Tri-City (Gdansk, Sopot, Gdynia), is almost completed and data obtained from the System can be useful for the development of prediction models. A procedure for travel speed model selection for the Tri-City street network is presented in this paper. Matching of chosen volume-delay functions to the data obtained from the TRISTAR has been tested. Analyses have shown insufficient matching of functions that does not justify the possibility of their use in traffic control due to

Jacek OSKARBSKI, Kazimierz JAMROZ, Leszek SMOLAREK, Marcin ZAWISZA, Karol ŻARSKI

Transport Problems, Volume 12 , ISSUE 1, 39–50

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