Cantitate/Preț
Produs

Probability and Statistics for Computer Scientists

Autor Michael Baron
en Limba Engleză Hardback – 14 iun 2019

Probabilityandstatisticalmethods,simulationtechniques,andmodelingtools.ThisthirdeditiontextbookaddsR,includingcodesfordataanalysisexamples,helpsstudentssolveproblems,makeoptimaldecisionsinselectstochasticmodels,probabilitiesandforecasts,andevaluateperformanceofcomputersystemsandnetworks.

Citește tot Restrânge

Preț: 60562 lei

Preț vechi: 82123 lei
-26% Nou

Puncte Express: 908

Preț estimativ în valută:
11591 12228$ 9659£

Carte tipărită la comandă

Livrare economică 02-16 ianuarie 25
Livrare express 28 noiembrie-04 decembrie pentru 16501 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781138044487
ISBN-10: 1138044482
Pagini: 486
Dimensiuni: 178 x 254 x 33 mm
Greutate: 2.34 kg
Ediția:3 ed
Editura: CRC Press
Colecția Chapman and Hall/CRC

Cuprins

1. Introduction and Overview 2. Probability 3. Discrete Random Variables and Their Distributions 4. Continuous Distributions 5. Computer Simulations and Monte Carlo Methods 6. Stochastic Processes 7. Queuing Systems 8. Introduction to Statistics 9. Statistical Inference I 10. Statistical Inference II
11. Regression 12. Appendix
 


Notă biografică

Michael Baron is a professor of statistics at the American University in Washington, DC. He has published two books and numerous research articles and book chapters. Dr. Baron is a fellow of the American Statistical Association, a member of the International Society for Bayesian Analysis, and an associate editor of the Journal of Sequential Analysis. In 2007, he was awarded the Abraham Wald Prize in Sequential Analysis. His research focuses on the use of sequential analysis, change-point detection, and Bayesian inference in epidemiology, clinical trials, cyber security, energy, finance, and semiconductor manufacturing. He received a Ph.D. in statistics from the University of Maryland.


Descriere

Probability and statistical methods, simulation techniques, and modeling tools. This third edition textbook adds R, including codes for data analysis examples, helps students solve problems, make optimal decisions in select stochastic models, probabilities and forecasts, and evaluate performance of computer systems and networks.