Sentence examples for model for lags from inspiring English sources

bDLM 05): Distributed lag model for lags 0 to 5. cPM2.5 only from 2001 to 2004 d Ozone restricted to spring period: Las Palmas de Gran Canaria: from February to May, Santa Cruz de Tenerife: from March to May. aLag01: Average of levels of air pollutant during concurrent day (lag 0) and previous day (lag 1).

bDLM 05): Distributed lag model for lags 0 to 5. cPM2.5 only from 2001 to 2004 d Ozone restricted to spring period: Las Palmas de Gran Canaria: from February to May, Santa Cruz de Tenerife: from March to May The results of this study suggest the existence of a short-term relation spreading over successive days between air pollution and mortality in these two cities between 2000 and 2004.

Figure  5 shows the concentration-risk plot for the ozone single pollutant model for lag 0 compared with the cumulative effect of lag 0 to 2 days.

The model for lag 0 24-hr average personal PM2.5 showed smaller associations for an interquartile increase in exposure, and was of borderline significance (p < 0.08).

The regression models for lag phase, growth rate and "shelf life" (based on P. aeruginosa which closely related to Pseudomonas fluorescens and Pseudomonas pudita and all belong to the same RNA group used to classify the Pseudomonas at the subgenus level) were validated experimentally.

To simplify the presentation, we show models for lag 0 and 4-day averages.

To simplify the presentation, we show models for lag 0 and for multiday averages for 3 days (or 5 days) and 9 days before the blood draw.

These findings relate also to theoretical models for lag phase dynamics, such as Baranyi's model [ 19], which are widely used in the food safety field to estimate lag phase duration in a given food product.

Tempered processes are stationary time series that have a semi-long memory property in the sense that the autocovariogram of the process resembles that of a long memory model for moderate lags but eventually diminishes exponentially fast according to the presence of a decay factor governed by a tempering parameter.

Summary rate ratios (RRs) from the distributed lag models were calculated by summing the coefficients from the model for each lag and exponentiating the sum.

We therefore consider a one- and two-period lag in the relocation response, by estimating the interacted IV model, instrumenting for lagged homicides using kilometers of federal highways in 2005 multiplied by cocaine seizures in the previous year or two periods.