Introduction to Experimental Statistics

Author: Han Hanpeng, Editor-in-Chief
Publisher:
Publish Date: 2006-12-01
Features: This book mainly includes single-factor experiments, multi-factor experiments, orthogonal experiments, 2k and 3k factorial designs, confounded designs, regression analysis, response surface design, uniform design, formulation design, and covariance analysis. It systematically introduces three data processing techniques—analysis of variance (ANOVA), regression analysis, and covariance analysis. The theoretical exposition is rigorous, emphasizing the application of the internationally recognized statistical software SAS in data analysis. This book can also serve as a textbook for relevant majors in higher agricultural and forestry institutions, as well as a reference for practitioners.