Time Series Modeling and Analysis on the Silk Crape Satin Product

Xi Yang; Bo Nie; Bing Di Liu; Hai Liu; Lun Bai

doi:10.4028/www.scientific.net/AMR.175-176.412

Paper Titles

Development of New Apparatus for Slug Detection on the Loom
p.394

Modern Home Textiles Database Query System
p.398

The Discussion of the Yarn Cross-Section Shape of Woven Fabrics
p.402

The Application and Prospects of Two-Dimensional Code in Clothing Field
p.408

Time Series Modeling and Analysis on the Silk Crape Satin Product
p.412

Modeling and Analyzing of Regional Fluctuation of Cocoon Silk Based on BP Neural Network
p.418

General Design of a Kind of Electronic Testing System for Raw Silk
p.424

Shape Analysis of the Raw Silk Defects
p.429

The Research on Electronic Measurement of Steam with High Temperature and High Humidity in the Steaming Process
p.434

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Time Series Modeling and Analysis on the Silk Crape Satin Product

Abstract:

Empirical analysis on typical product categories, product series and Price Index of every level of single species is made by using classical ARMA models as well as ARCH models, which based on the actual data sampling and network. This study sets up AR models with ARCH effect of timing of product operations Index that judged by LM test used as model identification, and then establishes corresponding mathematical quantitative model for prediction. All of these are carried out by the Metrical Economics and the Eviews software. With time series, the fitting and prediction for running change-trend of silk are also in the theoretic confidence interval, which can also verify the degree of accuracy and precision of the established model.