Applied Regression and ANOVA Using SAS
暫譯: 使用 SAS 的應用迴歸與變異數分析

本書專為對數據揭示內容感興趣的研究人員設計，介紹統計方法而不讓讀者負擔矩陣代數和微積分的複雜性。本書展示了如何幾乎不費力地由 SAS 使用者生成與回歸和 ANOVA 方法相關的高解析度、可供出版的圖形。

Patricia F. Moodie is a Research Scholar in the Department of Mathematics and Statistics at the University of Winnipeg, Manitoba, Canada. Prior to that she was Head of Biostatistics in the Computer Department for Health Sciences in the College of Medicine, University of Manitoba, an adjunct lecturer in Biometry in the Department of Social and Preventive Medicine at the University of Manitoba, and a biostatistician in the Epidemiology and Biostatistics Department at the Manitoba Cancer Treatment and Research Foundation. Her statistical consulting and collaboration for over three decades as well as her substantive background in the biomedical sciences have made her appreciate the challenges in analyzing and interpreting real-life data. She received a BSc (Hons) in Biology at Memorial University of Newfoundland, an MSc in Zoology at the University of Alberta, and an MS in Biostatistics at the University of Illinois at Chicago. She has been an enthusiastic SAS user since 1980.

Dallas E. Johnson, Professor Emeritus in the Department of Statistics, Kansas State University, has published extensively in the areas of linear models, multiplicative interaction models, experimental design, and messy data analysis. He is the author of Applied Multivariate Methods for Data Analysts and co-author with George A. Milliken of the following books: Analysis of Messy Data, Vol. I - Designed Experiments, Vol. II - Nonreplicated Experiments, Vol. III - Analysis of Covariance, and Vol. I - Designed Experiments 2nd Edition. An active presenter of short courses, and a statistical consultant for over 50 years, he was the recipient of ASA's award for Excellence in Statistical Consulting in 2010. He received his B.S. degree in Mathematics Education, Kearney State College, a M.A.T. degree in Mathematics, Colorado State University, a M.S. degree in Mathematics, Western Michigan University, and a Ph.D. degree in Statistics, Colorado State University. He has been a SAS user and mentor since 1976.

Patricia F. Moodie 是加拿大曼尼托巴省溫尼伯大學數學與統計系的研究學者。在此之前，她曾擔任曼尼托巴大學醫學院健康科學計算機部的生物統計學主任，並在曼尼托巴大學社會與預防醫學系擔任生物計量學的兼任講師，以及在曼尼托巴癌症治療與研究基金會的流行病學與生物統計部擔任生物統計師。她在統計諮詢和合作方面有超過三十年的經驗，加上她在生物醫學科學方面的豐富背景，使她能夠理解分析和解釋現實數據所面臨的挑戰。她在紐芬蘭紀念大學獲得生物學榮譽學士學位，在阿爾伯塔大學獲得動物學碩士學位，以及在伊利諾伊大學芝加哥分校獲得生物統計碩士學位。自1980年以來，她一直是SAS的熱情用戶。

Dallas E. Johnson 是堪薩斯州立大學統計系的名譽教授，在線性模型、乘法交互模型、實驗設計和混亂數據分析等領域發表了大量著作。他是《應用多變量方法：數據分析師的指南》的作者，並與George A. Milliken共同撰寫了以下書籍：《混亂數據分析，第I卷 - 設計實驗，第II卷 - 非重複實驗，第III卷 - 協方差分析》和《設計實驗，第II版，第I卷》。作為短期課程的活躍講者和超過50年的統計顧問，他於2010年獲得美國統計協會（ASA）卓越統計諮詢獎。他在基爾尼州立學院獲得數學教育學士學位，在科羅拉多州立大學獲得數學碩士學位，在西密歇根大學獲得數學碩士學位，以及在科羅拉多州立大學獲得統計學博士學位。自1976年以來，他一直是SAS的用戶和導師。