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Who's Who in Orthopedics
Seyed Behrooz Mostofi
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Orthopedics; History of Medicine
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2005 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-1-85233-786-5
ISBN electrónico
978-1-84628-070-2
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2005
Información sobre derechos de publicación
© Springer-Verlag London Limited 2005
Cobertura temática
Tabla de contenidos
Sir Harry Platt 1886–1986
Palabras clave: Peripheral Nerve Injury; Founder Member; Gold Medal; Orthopaedic Hospital; British Orthopaedic Association.
Pp. 270-272
Thomas Bartlett Quigley 1908—
Seyed Behrooz Mostofi
Cluster analysis is an exploratory technique. Functional data methods offer the advantage of allowing a greater variety of clustering matrixes to choose from. The examples involving the clustering of Canadian weather stations are meant to be illustrative, since the known locations of weather stations can be used to infer which ones should exhibit similar weather patterns. The objective is not so much to find “real” clusters of stations, but rather to learn how the weather patterns at the different stations are related. Some of the clusters obtained consist of stations that are located in the same region, which we would expect similar to have weather patterns. Other aspects of the clustering are harder to interpret (e.g., assignment of Prince Rupert and Halifax to the same cluster), although they may also indicate relationships in weather patterns for stations at some distance from each other. A cluster analysis that accounted for both precipitation and temperature (and other weather related variables such as humidity) might be preferable, provided a suitable clustering metric could be found.
Methods for determining the number of clusters in functional cluster analysis are identical to those in the classical case, and thus are not discussed further here.
If groupings for some of the data are known in advance, it may be preferable to use a discriminant function analysis to find the variables and matrix that best classify the remaining observations. In the chapter on functional generalized linear models, we use a form of discriminant function analysis, functional logistic models, to classify the weather stations.
Pp. 285-286
César Roux 1857–1934
Palabras clave: Cervical Spine; Esophageal Stenosis; Anatomy Department; Recurrent Dislocation; Gold Medal.
Pp. 289-290
Raymond Roy-Camille 1927–1994
Palabras clave: Cervical Spine; Innovative Idea; Cauda Equina Syndrome; Anatomy Laboratory; Fourth Lumbar Vertebra.
Pp. 290-291
Leslie V. Rush 1905—
Palabras clave: Cauda Equina Syndrome; Aseptic Necrosis; Fourth Lumbar Vertebra; Monteggia Fracture; North American Spine Society.
Pp. 291-292
James Russell 1755–1836
Palabras clave: Medical Education; Medical Graduate; York Academy; Surgical Practice; Gynecological Surgery.
Pp. 292-292
Robert Hamilton Russell 1860–1933
Palabras clave: Orthopedic Surgeon; Orthopedic Surgery; United States Public Health; Rush Medical College; Cook County Hospital.
Pp. 292-293
Edwin Warner Ryerson 1872–1961
Palabras clave: Orthopedic Surgeon; Orthopedic Surgery; United States Public Health; Rush Medical College; Cook County Hospital.
Pp. 293-294
Amulya Kumar Saha 1913—
Palabras clave: Orthopedic Surgery; Dynamic Stability; Shoulder Joint; Shoulder Arthroplasty; Glenohumeral Joint.
Pp. 294-296
Lewis Albert Sayre 1820–1900
Palabras clave: United States; Medical School; Nineteenth Century; York City; Orthopedic Surgeon.
Pp. 296-296