Experimental Design and Analysis
This book focuses on design and analysis of experiments. It is intended as required reading material for Experimental Design for the Behavioral and Social Sciences course for undergraduate students at Carnegie Mellon University.
Tag(s): Statistics
Publication date: 08 Sep 2015
ISBN-10: n/a
ISBN-13: n/a
Paperback: 428 pages
Views: 8,068
Type: N/A
Publisher: n/a
License: n/a
Post time: 28 Apr 2016 12:00:00
Experimental Design and Analysis
This book focuses on design and analysis of experiments. It is intended as required reading material for Experimental Design for the Behavioral and Social Sciences course for undergraduate students at Carnegie Mellon University.
Publication date: 08 Sep 2015
ISBN-10: n/a
ISBN-13: n/a
Paperback: 428 pages
Views: 8,068
Document Type: N/A
Publisher: n/a
License: n/a
Post time: 28 Apr 2016 12:00:00
Howard Seltman wrote:This book is intended as required reading material for my course, Experimental Design for the Behavioral and Social Sciences, a second level statistics course for undergraduate students in the College of Humanities and Social Sciences at Carnegie Mellon University. This course is also cross-listed as a graduate level course for Masters and PhD students (in fields other than Statistics), and supplementary material is included for this level of study.
Over the years the course has grown to include students from dozens of majors beyond Psychology and the Social Sciences and from all of the Colleges of the University. This is appropriate because Experimental Design is fundamentally the same for all fields. This book tends towards examples from behavioral and social sciences, but includes a full range of examples.
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About The Author(s)
Howard Seltman is a Senior Research Statistician in the Department of Statistics at Carnegie Mellon University. His research interests lie at the intersection of medicine and statistics. Some current research areas include: various aspects of longitudinal modeling, particularly as it applies to Psychiatry, combining information from different types of studies, use of haplotypes in genetic analysis, and analysis of spoken words from focus groups.
Howard Seltman is a Senior Research Statistician in the Department of Statistics at Carnegie Mellon University. His research interests lie at the intersection of medicine and statistics. Some current research areas include: various aspects of longitudinal modeling, particularly as it applies to Psychiatry, combining information from different types of studies, use of haplotypes in genetic analysis, and analysis of spoken words from focus groups.