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基于先验信息的无标底投标报价策略研究
引用本文:宋维佳,张巍. 基于先验信息的无标底投标报价策略研究[J]. 预测, 2007, 26(1): 33-37
作者姓名:宋维佳  张巍
作者单位:1. 东北财经大学,金广建设管理学院,辽宁,大连,116025
2. 东北财经大学,数量经济系,辽宁,大连,116025
摘    要:将次序统计量与拍卖理论相结合,考虑投标商在无标底投标形式下的最优报价策略问题,通过估计投标商报价的分布,可以通过蒙特卡罗模拟方式得到每一报价下投标商中标的概率,最终可依据最高中标概率和最高期望利润来计算最优报价。

关 键 词:无标底投标  次序统计量  蒙特卡罗模拟
文章编号:1003-5192(2007)01-0033-05
收稿时间:2006-03-16
修稿时间:2006-03-16

Optimal Bidding Strategy Based on Apriori Information under Non-base Auction
SONG Wei-jia,ZHANG Wei. Optimal Bidding Strategy Based on Apriori Information under Non-base Auction[J]. Forecasting, 2007, 26(1): 33-37
Authors:SONG Wei-jia  ZHANG Wei
Affiliation:1. Jinguang School of Construction Management, Dongbei University of Finance and Economics, Dalian 116025, Chian ; 2. Department of Quantitative Economics, Dongbei University of Finance and Economics, Dalian 116025, China
Abstract:With combination of order statistics and bidding theory,we consider optimal bidding strategy under non-base auction.Through estimating the distribution of tenderer's quote,we can calculate its winning probability using Monte Carlo simulation,and ultimately determine best quote by highest winning probability or expected profit.
Keywords:non-base auction  order statistics  Monte Carlo simulation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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