نتایج جستجو برای: multi linear regression
تعداد نتایج: 1162506 فیلتر نتایج به سال:
multi-echelon inventory systems are one of the most important and attractive areas in modelling supply chain management so that several researches and studies have been done about. in this paper, the total cost function of a two-echelon inventory system with central warehouse and many identical retailers controlled by continuous review inventory policy is estimated. we have assumed the demand i...
Semantic odor perception descriptors, such as “sweet”, are widely used for product quality assessment in food, beverage, and fragrance industries to profile the perceptions. The current literature focuses on developing many possible descriptors. A large number of descriptors poses challenges sensory assessment. In this paper, we propose task narrowing down To end, contrive a novel selection mec...
the purpose of this study was to identify daily changes in body weight of broiler chickens using image processing and multi-regression analysis. therefore, thirty 1-day-old broiler chickens were reared under standard rearing condition and after acquiring images they were weighted, individually. from 2490 digital images, six features (perimeter, area convex, major axis, minor axis, eccentricity)...
multi-echelon inventory systems are one of the most important and attractive areas in modelling supply chain management so that several researches and studies have been done about. in this paper, the total cost function of a two-echelon inventory system with central warehouse and many identical retailers controlled by continuous review inventory policy is estimated. we have assumed the demand i...
In a multiple linear regression model, there are instances where one has to update the regression parameters. In such models as new data become available, by adding one row to the design matrix, the least-squares estimates for the parameters must be updated to reflect the impact of the new data. We will modify two existing methods of calculating regression coefficients in multiple linear regres...
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