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pro vyhledávání: '"Rao J N, K."'
In this paper we derive a second-order unbiased (or nearly unbiased) mean squared prediction error (MSPE) estimator of empirical best linear unbiased predictor (EBLUP) of a small area mean for a non-normal extension to the well-known Fay-Herriot mode
Externí odkaz:
http://arxiv.org/abs/2409.16409
Autor:
Sohrabi, Maryam, Rao, J. N. K.
Demand for reliable statistics at a local area (small area) level has greatly increased in recent years. Traditional area-specific estimators based on probability samples are not adequate because of small sample size or even zero sample size in a loc
Externí odkaz:
http://arxiv.org/abs/2306.04907
In this article we propose a new variable selection method for analyzing data collected from longitudinal sample surveys. The procedure is based on the survey-weighted quadratic inference function, which was recently introduced as an alternative to t
Externí odkaz:
http://arxiv.org/abs/2105.00504
Public-use survey data are an important source of information for researchers in social science and health studies to build statistical models and make inferences on the target finite population. This paper presents two general inferential tools thro
Externí odkaz:
http://arxiv.org/abs/2005.12172
Standard statistical methods that do not take proper account of the complexity of survey design can lead to erroneous inferences when applied to survey data due to unequal selection probabilities, clustering, and other design features. In particular,
Externí odkaz:
http://arxiv.org/abs/1902.08944
Autor:
Gabler, Siegfried
Publikováno v:
Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 10, 1, 109-111, Rao, J. N. K., Molina, Isabel, 2015, Small area estimation, Wiley series in survey methodology, 2nd ed., Hoboken, New Jersey, Wiley, 978-1-118-73578-7
Externí odkaz:
http://www.ssoar.info/ssoar/handle/document/46950
Autor:
Gabler, Siegfried
methods, data, analyses, Vol 10, No 1 (2016)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55c669b39129a1f0cc7c8fe8f0a58937
Publikováno v:
Statistics in Transition. New Series. 21(4):68-83
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=937807
Autor:
Rao, J. N. K.
Publikováno v:
Statistics in Transition. New Series. 21(4):53-58
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=937802