Analysis of Variance for Sensory Data

Analysis of Variance (ANOVA) is a statistical technique used in a number of chemical areas including the food industry. This handbook is a highly readable guide to the uses of the very important technique of ANOVA applied to sensory analysis. It is unique in stressing the practical implications of the topic rather than the theoretical background. This is important since ANOVA is a complex statistical technique which can be misunderstood and misused by sensory analysts. Typical problems from sensory analysis are used as examples.Sensorische Daten spielen in vielen Bereichen der Chemie, so in der Nahrungsmittel- und Kosmetikindustrie, eine zentrale Rolle. Eine wichtige statistische Auswertungsmethode, die Varianzanalyse (ANOVA), wird hier aus der Sicht des Anwenders - ohne ein Zuviel an mathematischen Formalismen - umfassend diskutiert. Factorial Designs.
Further Aspects of Design and Modelling.
Analysis of Variance.
Random or Fixed Assessors in Analysis of Variance.
More Complex ANOVA Situations.
Replicates in Sensory Analysis.
Multiple Comparisons.
Two Detailed Examples.
References and Relevant Literature.
Appendices.
Index. Aus dem Inhalt:
Factorial Designs;
Further Design and Modelling Aspects;
Analysis of Variance;
Random or Fixed Assessors in Analysis of Variance;
More Complex ANOVA Situations;
Replicates in Sensory Analysis;
Multiple Comparisons;
Two Detailed Examples. About the Authors Per Lea and Tormod Næs are both Research Scientists in Statistics at Matforsk, the Norwegian Food Research Institute; Marit Rødbotten is Senior Sensory Analyst at Matforsk. The field of sensory science, the perception science of the food industry, increasingly requires a working knowledge of statistics for the evaluation of data. However, most sensory scientists are not also expert statisticians. This highly readable book presents complex statistical tools such as Anova in a way that is easily understood by the practising sensory scientist. In Analysis of Variance for sensory Data, written jointly by statisticians and food scientists, the reader is taken by the hand and guided through tests such as Anova. Using real examples from the food industry, practical implications are stressed rather than the theoretical background. The result of this is that the reader will be able to apply advanced Anova teqhniques to a variety of problems and learn how to interpret the results. The book is intended as a workbook for all students of sensory analysis who would gain from a knowledge of statistical techniques.