{"product_id":"statistics-in-engineering-with-examples-in-matlab-r-and-r-second-edition-9781439895474","title":"Statistics in Engineering: With Examples in Matlab(r) and R, Second Edition","description":"\u003cp\u003e • Author(s): Andrew Metcalfe\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eEngineers are expected to design structures and machines that can operate in challenging and volatile environments, while allowing for variation in materials and noise in measurements and signals. \u003cstrong\u003eStatistics in Engineering, Second Edition: With Examples in MATLAB and R \u003c\/strong\u003ecovers the fundamentals of probability and statistics and explains how to use these basic techniques to estimate and model random variation in the context of engineering analysis and design in all types of environments.\u003c\/p\u003e\u003cp\u003eThe first eight chapters cover probability and probability distributions, graphical displays of data and descriptive statistics, combinations of random variables and propagation of error, statistical inference, bivariate distributions and correlation, linear regression on a single predictor variable, and the measurement error model. This leads to chapters including multiple regression; comparisons of several means and split-plot designs together with analysis of variance; probability models; and sampling strategies. Distinctive features include: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eAll examples based on work in industry, consulting to industry, and research for industry. \u003c\/li\u003e \u003c\/ul\u003e\u003cul\u003e \u003cli\u003eExamples and case studies include all engineering disciplines.\u003c\/li\u003e \u003c\/ul\u003e\u003cul\u003e \u003cli\u003eEmphasis on probabilistic modeling including decision trees, Markov chains and processes, and structure functions.\u003c\/li\u003e \u003c\/ul\u003e\u003cul\u003e \u003cli\u003eIntuitive explanations are followed by succinct mathematical justifications.\u003c\/li\u003e \u003c\/ul\u003e\u003cul\u003e \u003cli\u003eEmphasis on random number generation that is used for stochastic simulations of engineering systems, demonstration of key concepts, and implementation of bootstrap methods for inference.\u003c\/li\u003e \u003c\/ul\u003e\u003cul\u003e \u003cli\u003eUse of MATLAB and the open source software R, both of which have an extensive range of statistical functions for standard analyses and also enable programing of specific applications.\u003c\/li\u003e \u003c\/ul\u003e\u003cul\u003e \u003cli\u003eUse of multiple regression for times series models and analysis of factorial and central composite designs.\u003c\/li\u003e \u003c\/ul\u003e\u003cul\u003e \u003cli\u003eInclusion of topics such as Weibull analysis of failure times and split-plot designs that are commonly used in industry but are not usually included in introductory textbooks.\u003c\/li\u003e \u003c\/ul\u003e\u003cul\u003e \u003cli\u003eExperiments designed to show fundamental concepts that have been tested with large classes working in small groups.\u003c\/li\u003e \u003c\/ul\u003e\u003cul\u003e \u003cli\u003eWebsite with additional materials that is regularly updated.\u003c\/li\u003e \u003c\/ul\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45239334174871,"sku":"9781439895474","price":8127.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781439895474.webp?v=1769222316","url":"https:\/\/atlanticbooks.com\/products\/statistics-in-engineering-with-examples-in-matlab-r-and-r-second-edition-9781439895474","provider":"Atlantic Books","version":"1.0","type":"link"}