{"product_id":"statistics-for-experimenters","title":"Statistics for Experimenters","description":"\u003cb\u003eA Classic adapted to modern times\u003c\/b\u003e  \u003cp\u003eRewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers. Catalyzing innovation, problem solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from research data, illustrating how these tools may best be utilized during all stages of the investigative process. The authors’ practical approach starts with a problem that needs to be solved and then examines the appropriate statistical methods of design and analysis.\u003c\/p\u003e \u003cp\u003eProviding even greater accessibility for its users, the Second Edition is thoroughly revised and updated to reflect the changes in techniques and technologies since the publication of the classic First Edition.\u003c\/p\u003e \u003cp\u003eAmong the new topics included are:\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eGraphical Analysis of Variance\u003c\/li\u003e\n\u003cli\u003eComputer Analysis of Complex Designs\u003c\/li\u003e\n\u003cli\u003eSimplification by transformation\u003c\/li\u003e\n\u003cli\u003eHands-on experimentation using Response Service Methods\u003c\/li\u003e\n\u003cli\u003eFurther development of robust product and process design using split plot arrangements and minimization of error transmission\u003c\/li\u003e\n\u003cli\u003eIntroduction to Process Control, Forecasting and Time Series\u003c\/li\u003e\n\u003cli\u003eIllustrations demonstrating how multi-response problems can be solved using the concepts of active and inert factor spaces and canonical spaces\u003c\/li\u003e\n\u003cli\u003eBayesian approaches to model selection and sequential experimentation\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eAn appendix featuring Quaquaversal quotes from a variety of sources including noted statisticians and scientists to famous philosophers is provided to illustrate key concepts and enliven the learning process.\u003c\/p\u003e \u003cp\u003eAll the computations in the Second Edition can be done utilizing the statistical language R. Functions for displaying ANOVA and lamba plots, Bayesian screening, and model building are all included and R packages are available online. All theses topics can also be applied utilizing easy-to-use commercial software packages.\u003c\/p\u003e \u003cp\u003eComplete with applications covering the physical, engineering, biological, and social sciences, Statistics for Experimenters is designed for individuals who must use statistical approaches to conduct an experiment, but do not necessarily have formal training in statistics. Experimenters need only a basic understanding of mathematics to master all the statistical methods presented. This text is an essential reference for all researchers and is a highly recommended course book for undergraduate and graduate students.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54231641588056,"sku":"9780471718130","price":169.82,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9780471718130.jpg?v=1778903158","url":"https:\/\/agendabookshop.com\/products\/statistics-for-experimenters","provider":"Agenda Bookshop","version":"1.0","type":"link"}