Sentence examples for models for height from inspiring English sources

Hypotheses were tested by developing and validating robust stand-level models for height, basal area and standing whole-tree volume.

Tree height may be a predictor in volume, taper and biomass equations and it is therefore useful to have models for height as well.Of the tested dominant height models, the Hossfeld equation had good fitting statistics while being biologically acceptable.

For some models, we can reject the null hypothesis with 95% confidence, but overall, the penalized regression models for height and BMI trained using individuals from Croatia do not have good generalization performance in the Orkney data set.

The analysis was limited to GHD and TS because only for these indications were 4-year prediction models for height and weight available and validated at the time of the analysis [ 6].

Model fit was assessed by comparing the Akaike information criterion (AIC) values of potential models and conducting likelihood ratio tests of nested models (main effects vs. growth trajectory models for height and BMI).

Early attempts at fitting the Schumacher model for height produced extreme estimates for the asymptote (a parameter) (e.g. >150 m).

Model for height also includes weight as a fixed effect.

For the purpose of the present article, the Preece-Baines (1978) 1 (PB1) model for height growth between approximately eight to 18 years of age is used as an example: where is height, is decimal age, is adulthood height, is age at peak height velocity, is height at peak height velocity, and are growth rate constants related to prepubertal and postpubertal velocities, and is the residual error.

After adjustment with the different models, percentiles for height, weight (percentiles 3, 5, 10, 25, 50, 75, 90, 95, and 97) and BMI (percentiles 3, 5, 50, 85, 95, and 97) are presented for both genders.

Conversely, body fatness is positively associated with IR and its correlates in adulthood as well as in childhood [ 39], and in the present study it did not appear to be a confounder in models unadjusted for height.

The second order mathematical models for burr height and burr thickness were developed using response surface methodology (RS M with cutting speed, feed, drill diameter, point angle and lip clearance angle as affecting parameters.