Name: Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique (Multivariate Applications Series) (en Inglés)
Price: 2433.14 MXN
Availability: InStock
Author: Nussbaum E. Michael
ISBN: 9780367702540

Envío gratis

portada Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique (Multivariate Applications Series) (en Inglés)

Formato

Libro Físico

Editorial

Routledge

Autor

Nussbaum E. Michael

Idioma

Inglés

N° páginas

520

Encuadernación

Tapa Dura

ISBN13

9780367702540

N° edición

Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique (Multivariate Applications Series) (en Inglés)

Nussbaum E. Michael (Autor) · Routledge · Tapa Dura

Libro Físico

$ 2,433.14

$ 4,055.23

Ahorras: $ 1,622.09

40% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Miércoles 24 de Julio y el Jueves 08 de Agosto.

Lo recibirás en cualquier lugar de México entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique (Multivariate Applications Series) (en Inglés)"

Now in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. The book's clear explanations and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of these techniques. Basic statistics and probability are reviewed for those needing a refresher with mathematical derivations placed in optional appendices.Highlights include the following: - Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code.- Unique coverage of both categorical and nonparametric statistics better prepares readers to select the best technique for particular research projects.- Designed to be used with most statistical packages, clear examples of how to use the tests in SPSS, R, and Excel foster conceptual understanding.- Exploring the Concept boxes integrated throughout prompt students to draw links between the concepts to deepen understanding.- Fully developed Instructor and Student Resources featuring datasets for the book's problems and a guide to R, and for the instructor PowerPoints, author's syllabus, and answers to even-numbered problems.Intended for graduate or advanced undergraduate courses in categorical and nonparametric statistics taught in psychology, education, human development, sociology, political science, and other social and life sciences.