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Více informací o knize Probability, Random Processes, and Statistical Analysis

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

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Anotace knihy

Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum–Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Probability & statistics

• Plný název: Probability, Random Processes, and Statistical Analysis
• Autor: Hisashi Kobayashi
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 812
• EAN: 9780521895446
• ISBN: 0521895448
• ID: 04354102
• Nakladatelství: Cambridge University Press
• Hmotnost: 1714 g
• Rozměry: 180 × 253 × 43 mm
• Datum vydání: 15. December 2011

Oblíbené z jiného soudku

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