Dimensional Statistics for Estimation of Lung Volumes
Bibliographic Data
| ID | 3779150 |
|---|---|
| Authors | Verma (0000-0002-0220-3034), S S Verma (0000-0001-8097-0194, Defence Institute of Physiology and Allied Sciences), Y K Sharma (0009-0007-3561-5194), Arora (0000-0001-8733-4510), Shikha Arora, P Bandopadhyay, W Selvamurthy |
| Year | 2003 |
| Volume | 61 |
| Issue | 1 |
| Pages | 79-84 |
| Publication date | 2003-03-26 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Anthropologischer Anzeiger (JOURNAL) |
| Journal identifiers | ISSN: 0003-5548 • E-ISSN: 2363-7099 |
| Publisher | S ch we iz er ba rt (PUBLISHER) |
| DOI | 10.1127/anthranz/61/2003/79 |
| PMID | 12712775 |
| OpenAlex | W2418383500 |
| Language | EN |
The theory of dimension has been widely used in physics to check the validity of formulae. This theory has not been used more frequently in statistics as compared to physics for development of various prediction formulae/equations in applied physiology. An attempt has, therefore, been made in the present investigation to evolve formulae for estimation of lung volumes from cubic function of height based on dimensional considerations in boys and girls 8-13 and 16-21 years of age.
Dimension (graph theory) · Estimation · Lung · Lung function · Physics · Pure mathematics · Statistical physics · Statistics · Applied Mathematics · Body Composition Measurement Techniques · Internal Medicine · Mathematics · Medicine · Multidisciplinary Science and Engineering Research
| Highly cited | No |
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