Written in an easy-to-read style, it discusses different experimental design techniques such as completely randomized design, randomized complete block design and Latin square design. Besides this, the book also covers 22, 23, and 3n factorial experiments; two-stage, three-stage and mixed design with nested factors and factorial factors; different methods of orthogonal array design; and multivariate analysis of variance (MANOVA) for one-way MANOVA and factorial MANOVA.
KEY FEATURES :
Case Studies to illustrate the concepts and techniques
Chapter end questions on prototype reality problems
Yates algorithm for 2n factorial experiments
Answers to Selected Questions
R. PANNEERSELVAM, Ph.D., is former Professor of the Department of Management Studies, School of Management, Pondicherry University, Pondicherry. He has been the Chairman of Computer Society of India (Pondicherry Chapter) and carried out overseas consultancy for CEMS, Malaysia. His area of expertise includes computer systems, quantitative methods and operations management. With 39 years of teaching and research experience, including his service at College of Engineering, Anna University, Chennai, he has authored thirteen other well-established books, including Production and Operations Management, Operations Research, Design and Analysis of Algorithms, System Simulation, Modelling and Languages (twelve published by PHI Learning and one published by Cengage Learning). Besides, he has also published more than 100 research articles in leading national and international journals, and Conference proceedings.