The sales data sequence of the enterprise often has the seasonal effect, this paper uses X-12-ARIMA method to analyze the enterprise sales data, to eliminate the influence of the seasonal fluctuation, and provide support for the enterprise. Supply and demand is the survival and development of every enterprise, a company's sales in a certain extent, the company's production and business activities, and business sales data will show the development and change of economic time series, but the seasonal factors of production will be more, so the study of enterprise sales data seasonal changes, the following will be a clear understanding of seasonal fluctuations in corporate sales data.
목차
Abstract Method Introduction Two, Data Sources and Empirical Analysis 1, Stationary Test 2, Seasonal Adjustment 3, Seasonal Inspection Three, Conclusion References
키워드
seasonal adjustmentX-12-ARIMAstability
저자
Yingying Min [ Northeast Agricultural University College of engineering, Harbin University of Commerce college of computer and information engineering ]
Changlin Ao [ Northeast Agricultural University College of engineering ]
Corresponding author
보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Smart Home
간기
격월간
pISSN
1975-4094
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Smart Home Vol.10 No.7