Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations. Using clear examples and case-studies by way of practical illustration, the book is more than just a theoretical guide for non-statisticians, and may therefore be used by scientists, students and food industry professionals at different levels and with varying degrees of statistical skill.

Dr Daniel Granato, Research Fellow, Department of Food Engineering, State University of Ponta Grossa, Paraná, Brazil.

Dr Gastón Ares, Assistant Professor, Department of Food Science and Technology, Facultad de Química, Universidad de la República, Uruguay