Statistics in marketing research: A brief review on special methods and applications

Q4 Mathematics
S. Lipovetsky
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引用次数: 2

Abstract

The work considers statistical techniques developed for solving various special marketing research problems. These approaches include items comparisons in Thurstone and Bradley-Terry scaling, total unduplicated reach and frequency and Shapley value, sample balancing and price sensitivity analysis, customer satisfaction and identification of key drivers, best-worst and max-diff priority estimation, items cannibalization and synergy, and different other methods. The described techniques have been developed and employed in multiple marketing research projects, and they are helpful for successful solving various practical problems.
市场营销研究中的统计学:特殊方法和应用综述
这项工作考虑了为解决各种特殊的营销研究问题而开发的统计技术。这些方法包括Thurstone和Bradley Terry比例中的项目比较、总的非重复覆盖范围和频率以及Shapley值、样本平衡和价格敏感性分析、客户满意度和关键驱动因素的识别、最佳-最差和最大差异优先级估计、项目分解和协同作用,以及不同的其他方法。所描述的技术已被开发并应用于多个营销研究项目,它们有助于成功解决各种实际问题。
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来源期刊
Model Assisted Statistics and Applications
Model Assisted Statistics and Applications Mathematics-Applied Mathematics
CiteScore
1.00
自引率
0.00%
发文量
26
期刊介绍: Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation, or analytical phase of statistical project. This information may be survey generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis will be preferred. Papers of both applied and theoretical topics are acceptable.
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