Construction of Optimal Super Saturated Design | Chapter 10 | Research and Applications Towards Mathematics and Computer Science Vol. 7

 This episode discuss the new procedure of constructing Optimum Super Saturated design established 3n -factorial design by merging few of the treatment alliances, deleting control and different unimportant treatment alliances in 3n-factorial design. Also the to find the effectiveness of the constructed design and to find the it’s lower bound advantage.

Author(s) Details:

Rajarathinam, A.,
Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli-627012, India.

Please see the link here: https://stm.bookpi.org/RATMCS-V7/article/view/12881

Supersaturated Design and Its Construction Based on Fractional Factorial Design | Chapter 2 | Research and Applications Towards Mathematics and Computer Science Vol. 6

 The main objective concerning this chapter search out propose a new form for constructing a Super Saturated design based on a 2n factorial design by erase all the main effects situation combinations and the maximal-order interactions and to represent the constructed design utilizing numerical illustration.

Author(s) Details:

Rajarathinam A.,
Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli-627012, Tamil Nadu, India.

Please see the link here: https://stm.bookpi.org/RATMCS-V6/article/view/12521

The Development of a Method for Constructing Super Saturated Design and Nearly Orthogonal Design with Mixed Level Orthogonal Design | Chapter 4 | Current Topics on Mathematics and Computer Science Vol. 10

 For discovering significant aspects to increase the quality of an experiment, orthogonal arrays such as factorial and fractional factorial designs of experimental plans are used. In the early stages of scientific research, Super Saturated Designs are particularly cost-effective. Nearly-Orthogonal Arrays with good statistical features can create a variety of small-run designs with varied levels. Super Saturated Design and Nearly Orthogonal Design are created with Orthogonal Design in this work. The creation of factor screening experiments that are optimal or extremely efficient under the E (s2) and J2 criterion has sparked a lot of attention. We are primarily interested in finding a combinatorial solution to the experiment. Using Hadamard design on thalassemic children's data, we suggested a class of exceptional super saturated designs and produced mixed level orthogonal arrays and nearly orthogonal arrays.

Author(s) Details

Sunita Khurana
School of Statistics, Devi Ahilya University, Indore, M.P., India

Shakti Banerjee
School of Statistics, Devi Ahilya University, Indore, M.P., India

View Book :- https://stm.bookpi.org/CTMCS-V10/article/view/3743