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The machinery about which I am writing is found in the confectionery industry, but it is also generally used throughout the food industry and some other areas that produce items that need to be wrapped and packed for distribution. It just happens that much of my working life was spent in the confectionery industry. Similar machinery operates in the pharmaceutical industry, is used for wrapping and handling books, for wrapping blocks of fuel and for packing tea and other items. Some of the robots described are used in the glass industry, loading drinking glasses direct from hot moulding plants. They are used to load filled bottles into cases in the drinks business or shampoo for chemical manu...
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Statistical methods are made easier for engineers and scientists in this highly respected interdisciplinary reference. Covering a broad spectrum of statistical methods used at intermediate and advanced levels, the second edition features new sections on additional graphical tools, acceptance sampling, and the uses of new software. Matching how-to procedures to specific disciplines simplifies the application. Coverage of each statistical principle is followed by an example of its application. Users gain vital guidance on survey sampling, computer simulation, design and analysis of experiments, and more. Guidelines for organizing and managing a statistical consulting firm are included.
Presents a detailed exposition of statistical intervals and emphasizes applications in industry. The discussion differentiates at an elementary level among different kinds of statistical intervals and gives instruction with numerous examples and simple math on how to construct such intervals from sample data. This includes confidence intervals to contain a population percentile, confidence intervals on probability of meeting specified threshold value, and prediction intervals to include observation in a future sample. Also has an appendix containing computer subroutines for nonparametric statistical intervals.
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