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Statistical Quality Control By Mahajan Pdf Download [Latest 2022]
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It makes use of Monte Carlo simulation and hypothesis testing to outline the techniques required for successful design of experimental work and suggests a design of experiments methodology to help achieve the quality that is essential for economic benefits and public health benefits. The book begins with the principles of design of experiments, which state the objectives of quality control: to measure quality (i.e. to attain the intended result) or to determine whether the current process is good enough to achieve this quality. The first part of the book considers design of experiments for quality control, particularly the planning and implementation of experiments, followed by evaluation of the quality of an experiment, including an outline of the construction of a procedure for decision making. For each of these stages, each step of the process is described, including an outline of the statistical methods required. The discussion then moves on to describe design of experiments for quality control, beginning with the fundamental principle that the quality of a product is derived from the quality of its component parts. Good quality control requires good design of experiments, so that the design is tailored to the application at hand. The design of experiments for quality control is discussed in detail, including a discussion of the design process, the use of design of experiments for multi-factorial studies, and design of experiments for single-factor designs. This is followed by a discussion of the need for quality control, which includes a summary of the features of the two objectives outlined above. The general principles of hypothesis testing are then considered, which includes a description of basic hypothesis testing, the relationship between the null and the alternative hypotheses, inference procedures for significance testing, and statistical power. With these general principles in mind, the chapter then considers a wide range of the problems that are faced when conducting experiments to ensure the quality of a product, including summarizing and describing design of experiments for quality control, design of experiments for multi-factorial experiments, design of experiments for single-factor experiments, descriptive statistics for quality control, and hypothesis testing for quality control. An experiment is then set to practice, using a real-life example and a fictitious example. The chapter concludes with a discussion of the effects of random variation, the effect of bias in measurement, and the effects of quality control. Programme URL: Book Description Springer, 2011. PAP.DOC, PDF, EPUB, MOBI, TXT, DOCX, PPT. This book is
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