Sentence examples for model is ln from inspiring English sources

The estimated model is ln a it = α 0 + α 1 NonUnio n it + α 2 Pric e it + α 3 NonUnio n it · Pric e it + X it α + u it ln b it = β 0 + β 1 NonUnio n it + β 2 Pric e it + β 3 NonUnio n it · Pric e it + X it β + e it (39).

The corresponding model is ln h t = ln h 0 t + x ′ β ∗ + PI The coefficient of PI is constrained to equal 1.

The basic regression model is: ln {Y}_i=alpha +beta {mathrm{lnCoal}}_i+gamma {mathrm{lnControl}}_i+Dmathrm{dummy}+{varepsilon}_i.

The linearized form of pseudo first order model is ln left( {q_{e} - q_{t} } right) = {ln}q_{e} - k_{1} twhere qe and qt are the adsorption capacity of Cd2+ at equilibrium and given time, t is temperature and k1 is rate constant.

Thus the model was: ln (cases ) = (year     dummy ) + (village     dummy ) + (spray     dummy ),with an offset given by the population of the village.

The regression model was: ln W = a + b ln H + c ln A + d D where W is the dry weight per plot (kg), H is the mean height per plot (cm), A is the total stem area per plot (cm), D is the mean wood specific gravity (g/cm), a is a constant, and b, c and d are slopes of the parameters.

The fixed effect part of the best model was: ln relative section = 0.93 (±0.05 SE) − 0.25 (±0.06 SE) × second group, which after back-transformation gave expected positions of 2.53 and 1.98 sections for first and second arrivals, respectively (Fig.  2), indicating that the second arrivals were more likely to be found further downstream.

For example, in the case of race/ethnicity, which had 3 categories and White as the referent category, the model was: ln(S -(a )) = -(β 0 + λ 0 a + β 1 δ [ White Blackck ] + β 2 δ [ Mexican ] + λ 1 δ [ White Blackck ] a + λ 2 δ [ Mexican ] a ), where δ [X] = 1 if X and 0 otherwise.

Equation of pseudo-first-order kinetic model is (4) ln ⁡ Q e − Q t = ln ⁡ Q e − k 1 t.

The prediction equation from the parsimonious model is Predicted ln (WTH − 21 ) = 7. 49 − 0. 112 z PTH − 0. 137 zPO4 The right hand side of this equation defines a calcium regulation-base health metric for CKD.

This model is transformed into ln y = ln β+α ln x.