Probability And Statistics For Computer Scientists Av Michael (American University Washington Dc) Baron

Probability And Statistics For Computer Scientists Av Michael (American University Washington Dc) Baron

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 il......
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<P>Praise for the Second Edition:</P><I><P>"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." ---</I>Computing Reviews</P><B><I><P>Probability and Statistics for Computer Scientists, Third Edition</B></I> 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-
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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 ReviewsProbability 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 bootstrapNumerous motivating examples and exercises including computer projectsFully annotated R codes in parallel to MATLABApplications in computer science, software engineering, telecommunications, and related areasIn-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).About the AuthorMichael Baron is David Carroll Professor of Mathematics and Statistics at American University in Washington D. C. He conducts research in sequential analysis and optimal stopping, change-point detection, Bayesian inference, and applications of statistics in epidemiology, clinical trials, semiconductor manufacturing, and other fields. M. Baron is a Fellow of the American Statistical Association and a recipient of the Abraham Wald Prize for the best paper in Sequential Analysis and the Regents Outstanding Teaching Award. M. Baron holds a Ph.D. in statistics from the University of Maryland. In his turn, he supervised twelve doctoral students, mostly employed on academic and research positions.

Produktinformasjon

Oppdag Probability And Statistics For Computer Scientists av Michael Baron

Ønsker du å styrke dine ferdigheter innen sannsynlighet og statistikk? Den tredje utgaven av Probability And Statistics For Computer Scientists er skapt for å hjelpe studenter og fagfolk med å navigere gjennom de grunnleggende konseptene innen disse feltene. Michael (American University Washington D.C.) Baron har samlet praktiske eksempler og motiverende øvelser for å sikre at materialet forblir engasjerende og lettfattelig.

Hva kan du forvente fra boka?

  • Axiomatisk introduksjon til sannsynlighet
  • Utvidet dekning av statistisk inferens og dataanalyse, inkludert estimasjon, testing, og Bayesian tilnærming
  • Tilgjengelige R-koder parallelt med MATLAB for praktiske prosjekter
  • Spennende eksempler fra datavitenskap, programvareteknikk og telekommunikasjon

Forbedret forståelse av komplekse konsepter

Baron tar deg med på en reise fra de grunnleggende prinsippene til mer avanserte emner som Monte Carlo-metoder, stokastiske prosesser og regresjonsanalyse. Denne boka er ideell for både undergraduate og graduate kurs, og gir deg verktøyene du trenger for å ta bedre beslutninger under usikkerhet.

Om forfatteren Michael Baron

Med en Ph.D. i statistikk fra University of Maryland og omfattende erfaring innen feltet, er Michael Baron ikke bare en forfatter; han er en anerkjent ekspert innen sitt område. Han har mottatt flere priser, inkludert Abraham Wald-prisen for beste artikkel i sekvensanalyse.

Er dette boken for deg?

Enten du er student, forsker eller bare nysgjerrig på statistikk, vil Probability And Statistics For Computer Scientists av Michael Baron fungere som en uvurderlig ressurs. Den kombinerer lettfattelig språk med dybde, noe som gjør den til et perfekt valg for alle som ønsker å mestre praktiske utfordringer innen datavitenskap.

Spesifikasjon

Spesifikasjoner
SpråkEngelsk
SjangerNaturvitenskap og teknologi
Generelt
Sett
Nei
TypPapirbøker

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