如何解释R中的zeroinf回归系数？

Question

我对Zeroinf模型没有很好的了解，所以请您帮我解释下一个模型的系数：

Model <- zeroinf(NewClients ~ Discount + Week | Premium , data = DF)

Pearson residuals:
      Min        1Q    Median        3Q       Max 
-0.312103 -0.079842 -0.014251 -0.002827 17.376659 

Count model coefficients (poisson with log link):
               Estimate Std. Error z value Pr(>|z|)    
(Intercept)     2.21423    0.13212  16.759  < 2e-16 ***
Discount        1.45835    0.55525   2.626  0.00863 ** 
Week           -0.26977    0.01363 -19.792  < 2e-16 ***

Zero-inflation model coefficients (binomial with logit link):
              Estimate Std. Error z value Pr(>|z|)    
(Intercept)    2.25130    0.05328  42.253  < 2e-16 ***
Premium        0.44266    0.12861   3.442 0.000578 ***

此模型和系数有什么区别？

Model <- zeroinf(NewClients ~ Discount + Week + Premium , data = DF)

Pearson residuals:
       Min         1Q     Median         3Q        Max 
-9.362e-01 -3.346e-03 -8.319e-07 -1.490e-08  1.455e+01 

Count model coefficients (poisson with log link):
                      Estimate Std. Error z value Pr(>|z|)    
(Intercept)           -5.74330    0.16482 -34.846  < 2e-16 ***
Discount               2.28543    0.57133   4.000 6.33e-05 ***
Week                   0.56836    0.01994  28.508  < 2e-16 ***
Premium               -0.46196    0.13803  -3.347 0.000817 ***

Zero-inflation model coefficients (binomial with logit link):
                       Estimate Std. Error z value Pr(>|z|)    
(Intercept)           -11.52169    0.87234 -13.208  < 2e-16 ***
Discount               -7.53305    1.55317  -4.850 1.23e-06 ***
Week                    1.27486    0.08120  15.701  < 2e-16 ***
Premium                -0.04381    0.27801  -0.158    0.875  

Discount是产品折扣的百分比，Week是一年中的一周，Premium是一个二进制向量，指示该产品是否被认为是优质产品。