Sentence examples for market regression model from inspiring English sources

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The results of the market regression model with concurrent, lagged, and lead terms are reported in Panel C of Table 7.

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θ i (1) (t) is the forecasting value of ARIMA model of market i. θ i (2) (t) is the forecasting value of PLA regression model of market i.

To examine the influence of exploratory variables on drug market locations, the Negative Binominal regression model was used at two levels of analysis the Belo Horizonte city center and other neighborhoods including favelas.

The basic results shown in Figures 8 and 9 are further explored using a fixed-effects regression model of labor market outcomes (i.e., employment or earnings) on the VR treatment indicator.

This is one of the most important analysis contexts in marketing research since regression models are used, for example, in conjoint analysis and market response analysis, yet no previous study in either the marketing or statistics literatures explores the segment retention problem for mixture regression models.

‡No influenza A(H7N9) virus was detected before market closure in wholesale markets, and data from this period were excluded from the regression model.

Our data and regression model will be valuable for market-targeted rice breeding programs such as those aimed at different grain size preferences in different countries.

We then used a linear regression model to determine if hospital or market-level characteristics described above influenced hospital charges for these common blood tests.

To examine whether there are variations between practices in the rates at which populations are out of the labour market for health reasons, we used a random effects logistic regression model to estimate the intracluster correlation coefficient (r).

As the potential determinants of FDI, the regression model of this study incorporates factors relating to market size, trade policy, human development, infrastructure, investment policy, and institutional quality.

The inclusion of ECT in the regression model depends upon the presence of cointegration between insurance market density (LID/ NID/ TID) and economic growth.

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