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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/87598

Title:	傳統工業升級計畫評估的統計分析 Statistical analysis on the evalution of a conventional industries upgrading program
Authors:	張仲翔 Chang, Chung Hsiung
Contributors:	姜志銘 Thomas jiang 張仲翔 Chang, Chung Hsiung
Keywords:	對數線型模式階級模式概似比例卡方統計量後退消去法 Loglinear model hierarchical model likelihood ratio chi-squared statistic backward method
Date:	1995
Issue Date:	2016-04-28 15:18:50 (UTC+8)
Abstract:	工業的發達與否代表一個國家國力的強弱，故欲使我國達已開發國家之林，提昇整個工業或產業的升級，已經是刻不容緩的事。近年來，政府致力於發展新的高科技產業，同時，對於傳統工業也以獎勵或鼓勵技術升級的方式，以提昇整體產業競爭力。其中包含了所謂"傳統工業技術升級計畫"。　　Modernization of Industry represents the powerfulness of a country. It`surgent to upgrade the inndustry, so that our country become a developed country.The government has been making every effort on new hi-tech industries lately, at the same time, the government also provide different incentives to upgradethe tradional industries. This way would increase the competitiveness of ourone of the incentives is that the government provided the so called "Conventionalindustries upgrading program"
Description:	碩士國立政治大學應用數學系 83751005
Source URI:	http://thesis.lib.nccu.edu.tw/record/#B2002002890
Data Type:	thesis
Appears in Collections:	[應用數學系] 學位論文

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