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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.5
- 수록면
- 71 - 74 (4page)
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초록· 키워드
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Recently, information system researchers have become used to handling big data comprising more than 10,000 observations. Researchers using statistical inference in such very large samples have often found that p-values quickly go to zero as the sample size increases. This study investigates the p-value problem with large sample via central limit theorem. The results revealed that strong positive dependency of big data may be the main cause behind the problem.
목차
ABSTRACT
1. Introduction
2. CLT and Big Data
3. Concluding Remarks
References
참고문헌 (12)
참고문헌 신청
Pavlou P / 2006 / The nature and role of feedback text comments in online marketplaces : Implications for trust building, price premiums, and seller differentiation / Inform Syst Res 17:392~414
Overby E / 2009 / Electronic and physical market channels : A multiyear investigation in a market for products of uncertain quality / Manage Sci 55:940~957
Forman C / 2009 / Competition between local and electronic markets : How the benefit of buying online depends on where you live / Manage Sci 55:47~57
Goldfarb A / 2006 / Household-specific regressions using clickstream data / Stat Sci 21:247~255
Ghose A / 2011 / Using transaction prices to re-examine price dispersion in electronic markets / Inform Syst Res 22:1~17
Overby E / 2009 / Electronic and physical market channels : A multiyear investigation in a market for products of uncertain quality / Manage Sci 55:940~957
Forman C / 2009 / Competition between local and electronic markets : How the benefit of buying online depends on where you live / Manage Sci 55:47~57
Goldfarb A / 2006 / Household-specific regressions using clickstream data / Stat Sci 21:247~255
Ghose A / 2011 / Using transaction prices to re-examine price dispersion in electronic markets / Inform Syst Res 22:1~17
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