Name: Statistical Methods in Food and Consumer Research (Food Science and Technology) (en Inglés)
Price: 2554.24 MXN
Availability: InStock
Author: Maximo C. Gacula Jr.
ISBN: 9780122720505

Envío gratis

portada Statistical Methods in Food and Consumer Research (Food Science and Technology) (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Maximo C. Gacula Jr.

Año

1984

Idioma

Inglés

N° páginas

505

Encuadernación

Tapa Dura

ISBN

0122720504

ISBN13

9780122720505

N° edición

Statistical Methods in Food and Consumer Research (Food Science and Technology) (en Inglés)

Maximo C. Gacula Jr. (Autor) · Academic Press · Tapa Dura

Libro Nuevo

$ 2,554.24

$ 4,257.06

Ahorras: $ 1,702.82

40% descuento

Envío normal

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

Se enviará desde nuestra bodega entre el Viernes 19 de Julio y el Lunes 29 de Julio.

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

Reseña del libro "Statistical Methods in Food and Consumer Research (Food Science and Technology) (en Inglés)"

Food Science and Technology: A Series of Monographs: Statistical Methods in Food and Consumer Research focuses on the applications of statistical methods and specialized techniques in food and consumer research. The publication begins with a review of tools for statistical inference, statistical sensory testing, and analysis of variance and multiple comparison tests. Discussions focus on principles of experimental design, psychophysical aspects of sensory data, scales of measurement, distribution of sensory data, sample size estimation, and analysis of variance. The text then ponders on experimental design and incomplete block experimental designs. The book touches on factorial experiments and response surface designs and analysis. Topics include fitting of response surface design considerations, simple confounding and fractional factorial experiments, composite and rotatable designs, and response surface analysis approach for sensory data. The manuscript then examines shelf life testing experiments, nonparametric statistical methods, and sensory difference tests and selection of panel members. The publication is a dependable source material for researchers, instructors, and applied statisticians.