Name: Advanced Statistics in Criminology and Criminal Justice (en Inglés)
Price: 414.86 PEN
Availability: InStock
Author: Weisburd, David ; Wilson, David B. ; Wooditch, Alese
ISBN: 9783030677404

portada Advanced Statistics in Criminology and Criminal Justice (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

550

Encuadernación

Tapa Blanda

Dimensiones

25.4 x 17.8 x 2.9 cm

Peso

0.96 kg.

ISBN13

9783030677404

N° edición

0005

Categorías

Investigación social y estadística
Criminología

Advanced Statistics in Criminology and Criminal Justice (en Inglés)

David Weisburd (Autor) · David B. Wilson (Autor) · Alese Wooditch (Autor) · Springer · Tapa Blanda

Libro Físico

S/ 414,86

S/ 829,72

Ahorras: S/ 414,86

50% descuento

Envío normal

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

Se enviará desde nuestra bodega entre el Viernes 21 de Junio y el Martes 02 de Julio.

Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.

Reseña del libro "Advanced Statistics in Criminology and Criminal Justice (en Inglés)"

This book provides the student, researcher or practitioner with the tools to understand many of the most commonly used advanced statistical analysis tools in criminology and criminal justice, and also to apply them to research problems. The volume is structured around two main topics, giving the user flexibility to find what they need quickly. The first is "the general linear model" which is the main analytic approach used to understand what influences outcomes in crime and justice. It presents a series of approaches from OLS multivariate regression, through logistic regression and multi-nomial regression, hierarchical regression, to count regression. The volume also examines alternative methods for estimating unbiased outcomes that are becoming more common in criminology and criminal justice, including analyses of randomized experiments and propensity score matching. It also examines the problem of statistical power, and how it can be used to better design studies. Finally, it discusses meta analysis, which is used to summarize studies; and geographic statistical analysis, which allows us to take into account the ways in which geographies may influence our statistical conclusions.