001463480 000__ 04670cam\a22006257i\4500 001463480 001__ 1463480 001463480 003__ OCoLC 001463480 005__ 20230601003322.0 001463480 006__ m\\\\\o\\d\\\\\\\\ 001463480 007__ cr\cn\nnnunnun 001463480 008__ 230426s2023\\\\enka\\\\ob\\\\001\0\eng\d 001463480 019__ $$a1376980556$$a1379637450 001463480 020__ $$a9781447175032$$qelectronic book 001463480 020__ $$a1447175034$$qelectronic book 001463480 020__ $$z9781447175025 001463480 020__ $$z1447175026 001463480 0247_ $$a10.1007/978-1-4471-7503-2$$2doi 001463480 035__ $$aSP(OCoLC)1377500562 001463480 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX 001463480 049__ $$aISEA 001463480 050_4 $$aTA340$$b.S67 2023 001463480 08204 $$a620.0072/7$$223/eng/20230426 001463480 24500 $$aSpringer handbook of engineering statistics /$$cHoang Pham, editor. 001463480 250__ $$aSecond edition. 001463480 264_1 $$aLondon :$$bSpringer,$$c2023. 001463480 300__ $$a1 online resource (1 volume) :$$billustrations (black and white, and color). 001463480 336__ $$atext$$btxt$$2rdacontent 001463480 337__ $$acomputer$$bc$$2rdamedia 001463480 338__ $$aonline resource$$bcr$$2rdacarrier 001463480 4901_ $$aSpringer Handbooks,$$x2522-8706 001463480 500__ $$aPrevious edition: 2006. 001463480 504__ $$aIncludes bibliographical references and index. 001463480 5050_ $$aPart I: Fundamental Statistics and its Applications -- Part II: Process Monitoring and Improvement -- Part III: Reliability Models and Survival Analysis -- Part IV: Advanced Statistical Methods and Modeling -- Part V: Statistical Computing and Data Mining -- Part VI: Applications in Engineering Statistics. 001463480 506__ $$aAccess limited to authorized users. 001463480 520__ $$aThis handbook gathers the full range of statistical techniques and tools required by engineers, analysts and scientists from all fields. The book is a comprehensive place to look for methods and solutions to practical problems within - but not limited to - data science, quality assurance in design and production engineering. The tools of engineering statistics are relevant for modeling and prediction of products, processes and services, but also for the analysis of ongoing processes, the reliability and life-cycle assessment of products and services, and finally to achieve realistic predictions on how to improve processes and products. This book contains contributions from around 115 leading experts in statistics, biostatistics, engineering statistics, reliability engineering, and related areas. It covers the various methods as well as their applications from industrial control to failure mechanism and analysis, medicine, business intelligence, electronic packaging, and risk management. It enables readers to choose the most appropriate method through its wide range of selection of statistical techniques and tools. For the second edition all chapters have been thoroughly updated to reflect the current state-of-the-art. Included are also more than 30 completely new contriubutions revolving around current trends related to modern statistical computing, including: data science, big data, machine learning, optimization, data fusion, high dimensional data, voting systems, life testing, related statistical artificial intelligence (AI) and reliability physics and failure mode mechanisms. This Springer Handbook of Engineering Statistics provides comprehensive literature with up-to-date statistical methodologies, algorithms, computation methods and tools that can be served as a main reference for researchers, engineers, business analysts, educators and students in all applied fields affected by statistics. 001463480 588__ $$aDescription based on print version record. 001463480 650_0 $$aEngineering$$xStatistical methods. 001463480 655_0 $$aElectronic books. 001463480 7001_ $$aPham, Hoang,$$eeditor.$$1https://isni.org/isni/0000000120172457 001463480 77608 $$iPrint version:$$tSpringer handbook of engineering statistics.$$bSecond edition.$$dLondon : Springer, 2023$$z9781447175025$$w(OCoLC)1350635027 001463480 830_0 $$aSpringer Handbooks,$$x2522-8706 001463480 852__ $$bebk 001463480 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4471-7503-2$$zOnline Access$$91397441.1 001463480 909CO $$ooai:library.usi.edu:1463480$$pGLOBAL_SET 001463480 980__ $$aBIB 001463480 980__ $$aEBOOK 001463480 982__ $$aEbook 001463480 983__ $$aOnline 001463480 994__ $$a92$$bISE