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題 名 | Denoised Least Squares Estimators: An Application to Estimating Advertising Effectiveness |
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作 者 | Cai,Zongwu; Naik,Prasad A.; Tsai,Chih-ling; | 書刊名 | Statistica Sinica |
卷 期 | 10:4 2000.10[民89.10] |
頁 次 | 頁1231-1241 |
分類號 | 496.34 |
關鍵詞 | Advertising; Linear smoother; Noisy data; Threshold; Wavelets; |
語 文 | 英文(English) |
英文摘要 | It is known in marketing science that an advertiser under- or overspends millions of dollars on advertising because the estimation of advertising effectiveness is biased. This bias is induced by measurement noise in advertising variables, such as awareness and television rating points, which are provided by commercial market research firms based on small-sample surveys of consumers. In this paper, we propose a denoised regression approach to deal with the problem of noisy variables. We show that denoised least squares estimators are consistent. Simulation results indicate that the denoised regression approach outperforms the classical regression approach. A marketing example is presented to illustrate the use of denoised least squares estimators. |
本系統中英文摘要資訊取自各篇刊載內容。