About the book
The first-rate quality is the preferable aspect in the fields of Science, Engineering and Technology. Accordingly, Response Surface Methodology (RSM) lays its foundation of quality in any experiment and it aims to optimize the response. Also, it is the statistical and mathematical technique used for gaining important results through an array of experiments. Normally, it is an experimental design with several factors for optimizing the target variables. Mostly, it is considered as the key component for producing the most appropriate results through exclusive experiments.
Predominantly, it is used by researchers and technocrats for accurate estimation because the main intention of it is to advance the response time. Here, quantitative data is used to fit the regression model from the experiments and for optimizing the response. So, the linear, polynomial or square functions are adopted to study the system and explore the suitable experimental condition for optimization. This book will intend to provide the reader with a comprehensive analysis of response surface methods, which is capable of being applied in all the fields of science, engineering and technology including the machine learning models in relation to the response surface method.
