Författare
Michael Baron
Michael Baron är en uppskattad författare inom Naturvetenskap och teknik med totalt 1 bok tillgängliga på Bokkollen, utgivna hos Taylor & Francis Ltd.
Bland verken finns Probability and Statistics for Computer Scientists, som toppar listan över Michael Barons populäraste böcker. Verken spänner över naturvetenskap & teknik och tilltalar läsare som uppskattar genren.
På Bokkollen gör vi det enkelt att navigera i Michael Barons författarskap. Vår databas uppdateras ständigt med nya släpp och format, så oavsett om du söker efter en lättläst pocket för semestern, en lyxig inbunden presentutgåva eller en digital ljudbok för pendlingen, har vi rätt utgåva för dig.
Jämför snabbt och smidigt priser på alla böcker av Michael Baron hos Sveriges ledande bokhandlare – som Adlibris, Bokus och Akademibokhandeln – och hitta alltid det bästa erbjudandet utan att betala för mycket.
Probability and Statistics for Computer Scientists
Praise for the Second Edition: "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 Probability and Statistics for Computer Scientists, Third Edition 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. Features: Axiomatic introduction of probability Expanded 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 Numerous motivating examples and exercises including computer projects Fully annotated R codes in parallel to MATLAB Applications in computer science, software engineering, telecommunications, and related areas In-Depth yet Accessible Treatment of Computer Science-Related TopicsStarting 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).
Hela bibliografin
Utforska alla Michael Barons publicerade verk sorterade efter popularitet.
Upptäck liknande författare
Om du gillar Michael Baron kommer du förmodligen att uppskatta även dessa författare inom naturvetenskap & teknik.