Rencher, Alvin, Bruce Schaalje. Linear Models in Statistics. Hoboken: John Wiley & Sons, Inc. 2008. Print.
Linear models are the basis for just about anything statistics related. Having a solid foundation in regression theory and application will help me understand and extend the theory of design studies. In addition to developing linear regression models, this book has a chapter specifically devoted to design theory for both Analysis of Variance models and Analysis of Covariance models. Also, this book explains the theory behind hypothesis testing and what to do when certain assumptions are violated in an experiment. In short, it explains both how to use statistics to design an experiment and how to redeem a poorly designed experiment. Understanding the principles in this book will help me progress with the theory and application behind the statistics in my project.
No comments:
Post a Comment