{"product_id":"probability-and-statistics-for-computer-scientists","title":"Probability and Statistics for Computer Scientists","description":"\u003cp\u003ePraise for the Second Edition:\u003c\/p\u003e\u003cp\u003e\"The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter... [He] has taken great care to select examples that are interesting and practical for computer scientists. ... The content is illustrated with numerous figures, and concludes with appendices and an index. The book is erudite and … could work well as a required text for an advanced undergraduate or graduate course.\" ---Computing Reviews\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProbability and Statistics for Computer Scientists, Third Edition\u003c\/strong\u003e helps students understand fundamental concepts of Probability and Statistics, general methods of stochastic modeling, simulation, queuing, and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses. Written in a lively style with simple language and now including R as well as MATLAB, this classroom-tested book can be used for one- or two-semester courses.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFeatures:\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eAxiomatic introduction of probability\u003c\/li\u003e\n\u003cli\u003eExpanded coverage of statistical inference and data analysis, including estimation and testing, Bayesian approach, multivariate regression, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap\u003c\/li\u003e\n\u003cli\u003eNumerous motivating examples and exercises including computer projects\u003c\/li\u003e\n\u003cli\u003eFully annotated R codes in parallel to MATLAB\u003c\/li\u003e\n\u003cli\u003eApplications in computer science, software engineering, telecommunications, and related areas\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003ci\u003eIn-Depth yet Accessible Treatment of Computer Science-Related Topics\u003c\/i\u003eStarting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET).\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":54257017061720,"sku":"9781138044487","price":137.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781138044487_06afb610-19ad-403b-bc26-d345cc9163ff.jpg?v=1777585524","url":"https:\/\/agendabookshop.com\/products\/probability-and-statistics-for-computer-scientists","provider":"Agenda Bookshop","version":"1.0","type":"link"}