Harmonic continuation and gridding effects on geoid height prediction

1992 ◽  
Vol 66 (1) ◽  
pp. 41-53 ◽  
Author(s):  
C. C. Tscherning ◽  
R. Forsberg
Keyword(s):  
Geoid Height ◽  
Harmonic Continuation ◽  
Height Prediction

Comparison of the Effectiveness of Adult Height Prediction Methods in Children with Growth Hormone Deficiency

2021 ◽  
pp. 1-8
Author(s):  
İbrahim Mert Erbaş ◽  
Zeynep Ölmez ◽  
Ahu Paketçi ◽  
Korcan Demir ◽  
Ece Böber ◽  
...  
Keyword(s):  
Growth Hormone ◽  
Growth Hormone Deficiency ◽  
Adult Height ◽  
Hormone Deficiency ◽  
Prediction Methods ◽  
Height Prediction

Estimating geoid height change in North America: past, present and future

2011 ◽  
Vol 86 (5) ◽  
pp. 337-358 ◽  
Author(s):  
Thomas Jacob ◽  
John Wahr ◽  
Richard Gross ◽  
Sean Swenson ◽  
Geruo A
Keyword(s):  
North America ◽  
Geoid Height ◽  
Height Change

Rock-Mechanical Model of Thin-Bedded Sands and Shales for Improved Fracture Height Prediction, Mesaverde Sandstone, Wyoming

1999 ◽  
Author(s):  
David Pantoja ◽  
Neil F. Hurley ◽  
Ramona M. Graves ◽  
C. Mark Pearson
Keyword(s):  
Mechanical Model ◽  
Height Prediction ◽  
Fracture Height

On harmonic continuation of characteristic functions

2010 ◽  
Vol 50 (4) ◽  
pp. 418-425 ◽  
Author(s):  
S. Norvidas
Keyword(s):  
Characteristic Functions ◽  
Harmonic Continuation

scholarly journals Gravity recovery from SWOT altimetry using geoid height and geoid gradient

2021 ◽  
Vol 265 ◽  
pp. 112650
Author(s):  
Daocheng Yu ◽  
Cheinway Hwang ◽  
Ole Baltazar Andersen ◽  
Emmy T.Y. Chang ◽  
Lucile Gaultier
Keyword(s):  
Geoid Height ◽  
Gravity Recovery

Evaluating the efficacy of SVMs, BNs, ANNs and ANFIS in wave height prediction

2011 ◽  
Vol 38 (2-3) ◽  
pp. 487-497 ◽  
Author(s):  
Iman Malekmohamadi ◽  
Mohammad Reza Bazargan-Lari ◽  
Reza Kerachian ◽  
Mohammad Reza Nikoo ◽  
Mahsa Fallahnia
Keyword(s):  
Wave Height ◽  
Height Prediction

scholarly journals Weight and height prediction of immobilized patients

2006 ◽  
Vol 19 (6) ◽  
pp. 655-661 ◽  
Author(s):  
Estela Iraci Rabito ◽  
Gabriela Bergamini Vannucchi ◽  
Vivian Marques Miguel Suen ◽  
Laércio Lopes Castilho Neto ◽  
Júlio Sérgio Marchini
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Hospitalized Patients ◽  
Anthropometric Measurements ◽  
Abdominal Circumference ◽  
Calf Circumference ◽  
Mean Error ◽  
Arm Circumference ◽  
Height Prediction ◽  
The One

OBJECTIVE: To confirm the adequacy of the formula suggested in the literature and/or to develop appropriate equations for the Brazilian population of immobilized patients based on simple anthropometric measurements. METHODS: Hospitalized patients were submitted to anthropometry and methods to estimate weight and height of bedridden patients were developed by multiple linear regression. RESULTS: Three hundred sixty eight persons were evaluated at two hospital centers and five weight-predicting and two height-predicting equations were developed from the measurements obtained. Among the new equations developed, the simplest one for weight estimate was: Weight (kg) = 0.5759 x (arm circumference, cm) + 0.5263 x (abdominal circumference, cm) + 1.2452 x (calf circumference, cm) -4.8689 x (Sex, male = 1 and female = 2) -32.9241 (r = 0.94); and the one for height estimate was: Height (cm) = 58.6940 - 2.9740 x (Sex) -0.0736 x (age, years) + 0.4958 x (arm length, cm) + 1.1320 x (half- span, cm) (r = 0.88). The estimates thus calculated did not differ significantly from actual measurements, with p = 0.94 and 0.89 and a mean error of 6.0 and 2.1% for weight and height, respectively. CONCLUSION: We suggest that these equations can be used to estimate the weight and height of bedridden patients when necessary or when these parameters cannot be measured with a scale and a stadiometer.

Is TW3 Height Prediction More Accurate than TW2? Preliminary Data

2006 ◽  
Vol 67 (5) ◽  
pp. 220-223 ◽  
Author(s):  
C. Bertaina ◽  
B. Stasiowska ◽  
A. Benso ◽  
S. Vannelli
Keyword(s):  
Preliminary Data ◽  
Height Prediction
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