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Growth Curves: Statistics: A Series of Textbooks and Monographs

Autor Anant Kshirsagar, William Smith
en Limba Engleză Hardback – 19 apr 1995
This work describes several statistical techniques for studying repeated measures data, presenting growth curve methods applicable to biomedical, social, animal, agricultural and business research. It details the multivariate development of growth science and repeated measures experiments, covering time-moving covariates, exchangable errors, bioassay results, missing data procedures and nonparametric and Bayesian methods.
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Specificații

ISBN-13: 9780824793418
ISBN-10: 0824793412
Pagini: 382
Dimensiuni: 152 x 229 x 24 mm
Greutate: 0.73 kg
Ediția:New.
Editura: CRC Press
Colecția CRC Press
Seria Statistics: A Series of Textbooks and Monographs

Locul publicării:Boca Raton, United States

Public țintă

Academic and Postgraduate

Cuprins

The growth curve model; a multidimensional growth curve model; the sum of profiles and time moving covariates models; a growth curve model with exchangeably distributed errors; structured-covariance matrices, model selection, prediction from growth curves and other topics; growth curves with incomplete or unbalanced data; Potthoff-Roy growth curve model - derivations of main results; Bayesian techniques; nonparametric techniques in growth curves. Appendices: case study 1 - effects of prostaglandin and leukotriene on the eyes of dogs; case study 2 - plasma silicon concentrations from dietary treatment of sodium zeolite A (SZA) in quarter horses; case study 3 - endotracheal suctioning in intensive care. (Part Contents).

Notă biografică

Anant Kshirsagar, William Smith

Descriere

This work describes several statistical techniques for studying repeated measures data, presenting growth curve methods applicable to biomedical, social, animal, agricultural and business research. It details the multivariate development of growth science and repeated measures experiments, covering time-moving covariates, exchangable errors, bioassay results, missing data procedures and nonparametric and Bayesian methods.