{"title":"Richard H. McCuen","description":"\u003cp\u003eRichard H. McCuen’s works offer thorough explorations of mathematical and statistical methods tailored for engineering and scientific applications. Readers can expect clear, practical guidance on numerical analysis as well as probability, statistics, and reliability, presented with precision and clarity.\u003c\/p\u003e\n\n\u003cp\u003eIdeal for students and professionals alike, his books bridge theory and practice, emphasising techniques that support decision-making and problem-solving in engineering contexts. McCuen’s writings serve as valuable resources within \u003cem\u003eEducation \u0026amp; Reference\u003c\/em\u003e and \u003cem\u003eEngineering \u0026amp; Technology\u003c\/em\u003e fields.\u003c\/p\u003e","products":[{"product_id":"numerical-analysis-for-engineers-by-richard-h-mccuen-9781032920047","title":"Numerical Analysis for Engineers","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eNumerical Analysis for Engineers: Methods and Applications\u003c\/em\u003e demonstrates the power of numerical methods in the context of solving complex engineering and scientific problems. The book helps to prepare future engineers and assists practising engineers in understanding the fundamentals of numerical methods, especially their applications, limitations, and potentials.\u003c\/p\u003e\n\n\u003cp\u003eEach chapter contains many computational examples, as well as a section on applications that include additional engineering examples. Each chapter also includes a set of exercise problems.\u003c\/p\u003e\n\n\u003cp\u003eThe problems are designed to meet the needs of instructors in assigning homework and to help students with practising the fundamental concepts. Although the book was developed with an emphasis on engineering and technological problems, the numerical methods can also be used to solve problems in other fields of science.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47607300260076,"sku":"9781032920047","price":134.0,"currency_code":"NZD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781032920047-numerical-analysis-for-engineers.jpg?v=1778160005"},{"product_id":"probability-statistics-and-reliability-for-engineers-and-scientists-by-richard-h-mccuen-9781439809518","title":"Probability, Statistics, and Reliability for Engineers and Scientists","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eIn a technological society, virtually every engineer and scientist needs to be able to collect, analyse, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential.\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eProbability, Statistics, and Reliability for Engineers and Scientists\u003c\/i\u003e, Third Edition, introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modelling in support of decision making.\u003c\/p\u003e\n\n\u003cp\u003eThe third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modelling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision-making processes.\u003c\/p\u003e\n\n\u003cp\u003eThis edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods.\u003c\/p\u003e\n\n\u003cp\u003eLike its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem-solving and decision-making, particularly in practical applications.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47932390473964,"sku":"9781439809518","price":376.0,"currency_code":"NZD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781439809518-probability-statistics-and-reliability-for-engineers-and-scientists.jpg?v=1783861634"},{"product_id":"probability-statistics-and-reliability-for-engineers-and-scientists-by-richard-h-mccuen-9781032917900","title":"Probability, Statistics, and Reliability for Engineers and Scientists","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eIn a technological society, virtually every engineer and scientist needs to be able to collect, analyse, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eProbability, Statistics, and Reliability for Engineers and Scientists, Third Edition\u003c\/em\u003e introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modelling in support of decision making.\u003c\/p\u003e\n\n\u003cp\u003eThe third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modelling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes. This edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods.\u003c\/p\u003e\n\n\u003cp\u003eLike its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem solving and decision making, particularly in practical applications.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47932390801644,"sku":"9781032917900","price":134.0,"currency_code":"NZD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781032917900-probability-statistics-and-reliability-for-engineers-and-scientists.jpg?v=1783861644"}],"url":"https:\/\/bookhero.pro\/collections\/richard-h-mccuen.oembed","provider":"Book Hero","version":"1.0","type":"link"}