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政大機構典藏 > 商學院 > 統計學系 > 學位論文 > Item 140.119/84408

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Title:	小區域勞動力序列的時間空間模型 Spatio-Temporal Models for Labor Force Series of Small Areas
Authors:	蘇懿
Contributors:	黃景祥蘇懿
Date:	1999
Issue Date:	2016-04-14 13:57:28 (UTC+8)
Abstract:	近年來隨著區域均衡發展的推行，公、私部門對於各縣市區域性統計資料的需求與日遽增。然而大型抽樣調查之小區域結果，常因樣本數較少而產生過大的變異，改善上述問題之統計方法稱為「小區域估計」。行政院主計處現行「台灣地區人力資源調查」，以台灣地區23縣市為副母體，按月實施抽樣調查，期能提供縣市人力統計結果。惟受限於經費，致使各縣市按月調查結果因樣本數較少而發生變異過大之現象。 Small area estimation is getting more important because of a growing demand for reliable small area statistics.　In Taiwan, labor force series of local governments are likely to yield unacceptably large standard errors due to unduly small size of the sample in the areas.　In this paper, we propose four methods to find more accurate estimates for given small areas.
Description:	博士國立政治大學統計學系
Source URI:	http://thesis.lib.nccu.edu.tw/record/#A2002000640
Data Type:	thesis
Appears in Collections:	[統計學系] 學位論文

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