portada Applied Multivariate Statistics with R (en Inglés)

Applied Multivariate Statistics with R (en Inglés)

Formato

Libro Físico

Autor

Daniel Zelterman

Editorial

Springer

Idioma

Inglés

N° páginas

463

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x2.5 cm

Peso

0.67 kg.

ISBN13

9783031130076

N° edición

0002

Categorías

Investigación médica
Epidemiología y estadística médica
Anatomía
Fisiología
Biología, ciencias de la vida

Applied Multivariate Statistics with R (en Inglés)

Daniel Zelterman (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 17 a 23 días háb.

$ 174.55$ 87.27

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 50 unidades

$ 87.27

Llega entre el 14 Sep y el 24 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Applied Multivariate Statistics with R (en Inglés)"

Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary.New to this edition are chapters devoted to longitudinal studies and theclustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.