Autor:	Jyrki Möttönen, Tapio Nummi, Martti T. Tuomisto
Rok vydání:	2017
Předmět:	010104 statistics & probability 03 medical and health sciences Multivariate statistics Spline (mathematics) 030505 public health Multiple response Applied mathematics Growth model 0101 mathematics 0305 other medical science 01 natural sciences Mathematics
Zdroj:	New Advances in Statistics and Data Science ISBN: 9783319694153
DOI:	10.1007/978-3-319-69416-0_5
Popis:	In this paper we present a new method for testing multivariate growth curves which is based on spline approximation and on F-test. We show how the basic spline regression model can easily be extended to the multiple response case. The method is illustrated using a real data set.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0396332054d3552e8b7960743135d11d https://doi.org/10.1007/978-3-319-69416-0_5 Zobrazit plný text záznamu