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STATISTICAL METHODS FOR ENGINEERS by Geoff Vining and Scott Kowalski presents real engineering data and takes a truly modern approach to;
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Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system;
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Probability Theory and Statistical Methods for Engineers brings together probability theory with the more practical applications;
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Probability Theory and Statistical Methods for Engineers brings together probability theory with the more practical applications;
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STATISTICAL METHODS FOR ENGINEERS, 3e, International Edition offers a balanced, streamlined one-semester introduction to Engineering;
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relationships, statistical formulas and problem-solving methods, including illustrated examples for problem-solving methods.;
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relationships, statistical formulas and problem-solving methods, including illustrated examples for problem-solving methods.;
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This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR;
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Sample Size Calculations: Practical Methods for Engineers and Scientists presents power and sample size calculations for common statistical;
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emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern;
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emphasizes the analysis of variance, regression analysis and the use of Statistical Analysis System computer programs. This edition: discusses modern;
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of statistical methods based on graphical techniques and exploratory data is among the highlights of Simulation Methodology for Statisticians, Operations;
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of statistical methods based on graphical techniques and exploratory data is among the highlights of Simulation Methodology for Statisticians, Operations;
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This text brings statistical tools to engineers and scientists who design and develop new products, new manufacturing systems and processes;
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This text brings statistical tools to engineers and scientists who design and develop new products, new manufacturing systems and processes;
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statistical data analysis, the contents are intended as a resource for researchers, practitioners and industrial statisticians. Several contributions;
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applications, including: statistical methods and model selection for machine learning; models for maintenance and software;
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Available for the first time in McGraw-Hill's Connect! Principles of Statistics for Engineers and Scientists emphasizes statistical methods;
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Experimental Methods for Engineers, 8/e, offers the broadest range of experimental measurement techniques available for mechanical and;
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This practical text is an essential source of information for those wanting to know how to deal with the variability that exists in every;
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in measured information, they make use of a variety of statistical techniques. This 1999 book presents single-variable statistical distributions that;
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in measured information, they make use of a variety of statistical techniques. This 1999 book presents single-variable statistical distributions that;
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Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract;
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Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract;
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A solutions manual to accompany Statistics and Probability with Applications for Engineers and Scientists Unique among books of this kind;
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is essential for survival. This book gathers together the full range of statistical techniques required by engineers from all fields. It will assist;
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An authoritative guide to the most recent advances in statistical methods for quantifying reliability Statistical Methods for;
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