COVARIATE SELECTION FOR SMALL AREA ESTIMATION IN REPEATED SAMPLE SURVEYS
نویسندگان
چکیده
منابع مشابه
Small Area Estimation in Longitudinal Surveys
Longitudinal surveys are very common in sampling over interval of times to estimate the aggregate level of population means at given point of time. In the present paper, the estimation methods have been developed for small area in longitudinal surveys using small area estimation (SAE) techniques. Direct, synthetic and composite estimators have been proposed to estimate the population mean of sm...
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Small area estimation has received a lot of attention in recent years due to growing demand for reliable small area statistics. Traditional area-specific estimators may not provide adequate precision because sample sizes in small areas are seldom large enough. This makes it necessary to employ indirect estimators based on linking models. Basic area level and unit level models have been extensiv...
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In a recent paper Maritz and Jarrett (1978) proposed a small-sample estimate of the variance of sample medians from continuous population. In this paper their methods are adapted to median estimation in s~atified sampling without replacement from finite populations. A weighted sample median for estimating the median of heavy-tailed or skewed populations is proposed. Its asymptotic normal distri...
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Extended Abstract. In recent years, needs for small area estimations have been greatly increased for large surveys particularly household surveys in Sta­ tistical Centre of Iran (SCI), because of the costs and respondent burden. The lack of suitable auxiliary variables between two decennial housing and popula­ tion census is a challenge for SCI in using these methods. In general, the...
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Feature selection can significantly be decisive when analyzing high dimensional data, especially with a small number of samples. Feature extraction methods do not have decent performance in these conditions. With small sample sets and high dimensional data, exploring a large search space and learning from insufficient samples becomes extremely hard. As a result, neural networks and clustering a...
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ژورنال
عنوان ژورنال: Statistics in Transition. New Series
سال: 2015
ISSN: 1234-7655,2450-0291
DOI: 10.21307/stattrans-2015-031