Research paper | 01-November-2017
Small area estimation (SAE) has seen a rapid growth over the past 10 years or so. Earlier work is covered in the author's book (Rao 2003). The main purpose of this paper is to highlight some new developments in model-based SAE since the publication of the author's book. A large part of the new theory addressed practical issues associated with the model-based approach, and we present some of those methods for area level and unit level models. We also briefly mention some new work on synthetic
J. N. K. Rao
Statistics in Transition New Series, Volume 16 , ISSUE 4, 491–510
Article | 06-July-2017
Jan Kubacki,
Alina Jędrzejczak
Statistics in Transition New Series, Volume 17 , ISSUE 3, 365–390
Article | 06-July-2017
. Next, before discussing general issues of small area estimation (SAE) in official statistics, the author reminds: the methods of sampling surveys, data collection, estimation procedures, and data quality assessment used for official statistics. Statistical information is published in different breakdowns with stable or even decreasing budget while being legally bound to control the response burden. Special attention is paid, from a practitioner point of view, to synthetic development of small area
Jan Kordos
Statistics in Transition New Series, Volume 17 , ISSUE 1, 105–132
Research paper | 01-November-2017
The aim of the paper is to present some experiences in teaching Small Area Estimation (SAE). SAE education experiences and challenges are analysed from the academic side and from the NSI side. An attempt was undertaken to discuss SAE issues in a wider perspective of teaching statistics. In particular, the topics refer to Polish conditions, but they are presented against the background of selected international experiences and practices. Information comes from a special inquiry - a survey
Elżbieta Gołata
Statistics in Transition New Series, Volume 16 , ISSUE 4, 611–630