Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data (SpringerBriefs in Statistics)
暫譯: 樣本調查與顧客滿意度數據的參數與非參數統計 (SpringerBriefs in Statistics)
Rosa Arboretti
- 出版商: Springer
- 出版日期: 2018-06-27
- 售價: $2,400
- 貴賓價: 9.5 折 $2,280
- 語言: 英文
- 頁數: 96
- 裝訂: Paperback
- ISBN: 3319917390
- ISBN-13: 9783319917399
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相關分類:
機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
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商品描述
This book deals with problems related to the evaluation of customer satisfaction in very different contexts and ways. Often satisfaction about a product or service is investigated through suitable surveys which try to capture the satisfaction about several partial aspects which characterize the perceived quality of that product or service. This book presents a series of statistical techniques adopted to analyze data from real situations where customer satisfaction surveys were performed.
The aim is to give a simple guide of the variety of analysis that can be performed when analyzing data from sample surveys: starting from latent variable models to heterogeneity in satisfaction and also introducing some testing methods for comparing different customers. The book also discusses the construction of composite indicators including different benchmarks of satisfaction. Finally, some rank-based procedures for analyzing survey data are also shown.
商品描述(中文翻譯)
本書探討與評估客戶滿意度相關的問題,涵蓋非常不同的情境和方式。通常,對於產品或服務的滿意度會透過適當的調查來進行研究,這些調查試圖捕捉影響該產品或服務感知品質的多個部分方面的滿意度。本書呈現了一系列統計技術,這些技術用於分析來自實際情況的數據,這些情況中進行了客戶滿意度調查。
本書的目的是提供一個簡單的指南,介紹在分析樣本調查數據時可以進行的各種分析:從潛在變數模型到滿意度的異質性,並引入一些比較不同客戶的檢驗方法。本書還討論了合成指標的構建,包括不同的滿意度基準。最後,還展示了一些基於排名的調查數據分析程序。