Revue de presse
?This guide is essential for readers who lack extensive knowledge of statistics and need to rely upon software applications to solve more complex mathematical formulas in the field.? ( Book News , September 2009)
Présentation de l'éditeur
The recording and analysis of food data are becoming increasingly sophisticated. Consequently, the food scientist inindustry or at study faces the task of using and understandingstatistical methods. Statistics is often viewed as a difficultsubject and is often avoided because of its complexity and a lackof specific application to the requirements of food science. Thissituation is changing there is now much material onmultivariate applications for the more advanced reader, but a caseexists for a univariate approach aimed at thenon–statistician. This second edition of Statistical Methods for Food Scienceprovides a source text on accessible statistical procedures for thefood scientist, and is aimed at professionals and students in foodlaboratories where analytical, instrumental and sensory data aregathered and require some form of summary and analysis beforeinterpretation. It is suitable for the food analyst, the sensoryscientist and the product developer, and others who work infood–related disciplines involving consumer survey investigationswill also find many sections of use. There is an emphasis on a hands–on approach, and worked examples using computersoftware packages and the minimum of mathematical formulae areincluded. The book is based on the experience and practice of ascientist engaged for many years in research and teaching ofanalytical and sensory food science at undergraduate andpost–graduate level. This revised and updated second edition is accompanied by a newcompanion website giving the reader access to the datasets andExcel spreadsheets featured in the book. Check it out now byvisiting www.wiley.com/go/bower/statistical orby scanning the QR code below.