Sale!

Test Bank for Probability and Random Processes for Electrical and Computer Engineers (1st Edition)

By:  
  • ISBN-10:  0521864704 / ISBN-13:  9780521864701
  • Ebook Details

    • Edition: 1th edition
    • Format: Downloadable ZIP Fille
    • Resource Type : Testbank
    • Publication: 2006
    • Duration: Unlimited downloads
    • Delivery: Instant Download
     

    $35.00 $30.00

    SKU: 8a1865b709fb Category:

    Table of content:

    Cover
    Half Title
    Title Page
    Copyright
    Dedication
    Contents
    Chapter dependencies
    Preface
    1. Introduction to probability
    1.1 Sample spaces, outcomes, and events
    1.2 Review of set notation
    1.3 Probability models
    1.4 Axioms and properties of probability
    1.5 Conditional probability
    1.6 Independence
    1.7 Combinatorics and probability
    Notes
    Problems
    Exam preparation
    2. Introduction to discrete random variables
    2.1 Probabilities involving random variables
    2.2 Discrete random variables
    2.3 Multiple random variables
    2.4 Expectation
    Notes
    Problems
    Exam preparation
    3. More about discrete random variables
    3.1 Probability generating functions
    3.2 The binomial random variable
    3.3 The weak law of large numbers
    3.4 Conditional probability
    3.5 Conditional expectation
    Notes
    Problems
    Exam preparation
    4. Continuous random variables
    4.1 Densities and probabilities
    4.2 Expectation of a single random variable
    4.3 Transform methods
    4.4 Expectation of multiple random variables
    4.5 Probability bounds
    Notes
    Problems
    Exam preparation
    5. Cumulative distribution functions and their applications
    5.1 Continuous random variables
    5.2 Discrete random variables
    5.3 Mixed random variables
    5.4 Functions of random variables and their cdfs
    5.5 Properties of cdfs
    5.6 The central limit theorem
    5.7 Reliability
    Notes
    Problems
    Exam preparation
    6. Statistics
    6.1 Parameter estimators and their properties
    6.2 Histograms
    6.3 Confidence intervals for the mean – known variance
    6.4 Confidence intervals for the mean – unknown variance
    6.5 Confidence intervals for Gaussian data
    6.6 Hypothesis tests for the mean
    6.7 Regression and curve fitting
    6.8 Monte Carlo estimation
    Notes
    Problems
    Exam preparation
    7. Bivariate random variables
    7.1 Joint and marginal probabilities
    7.2 Jointly continuous random variables
    7.3 Conditional probability and expectation
    7.4 The bivariate normal
    7.5 Extension to three or more random variables
    Notes
    Problems
    Exam preparation
    8. Introduction to random vectors
    8.1 Review of matrix operations
    8.2 Random vectors and random matrices
    8.3 Transformations of random vectors
    8.4 Linear estimation of random vectors (Wiener filters)
    8.5 Estimation of covariance matrices
    8.6 Nonlinear estimation of random vectors
    Notes
    Problems
    Exam preparation
    9. Gaussian random vectors
    9.1 Introduction
    9.2 Definition of the multivariate Gaussian
    9.3 Characteristic function
    9.4 Density function
    9.5 Conditional expectation and conditional probability
    9.6 Complex random variables and vectors
    Notes
    Problems
    Exam preparation
    10. Introduction to random processes
    10.1 Definition and examples
    10.2 Characterization of random processes
    10.3 Strict-sense and wide-sense stationary processes
    10.4 WSS processes through LTI systems
    10.5 Power spectral densities for WSS processes
    10.6 Characterization of correlation functions
    10.7 The matched filter
    10.8 The Wiener filter
    10.9 The Wiener–Khinchin theorem
    10.10 Mean-square ergodic theorem for WSS processes
    10.11 Power spectral densities for non-WSS processes
    Notes
    Problems
    Exam preparation
    11. Advanced concepts in random processes
    11.1 The Poisson process
    11.2 Renewal processes
    11.3 The Wiener process
    11.4 Specification of random processes
    Notes
    Problems
    Exam preparation
    12. Introduction to Markov chains
    12.1 Preliminary results
    12.2 Discrete-time Markov chains
    12.3 Recurrent and transient states
    12.4 Limiting n-step transition probabilities
    12.5 Continuous-time Markov chains
    Notes
    Problems
    Exam preparation
    13. Mean convergence and applications
    13.1 Convergence in mean of order p
    13.2 Normed vector spaces of random variables
    13.3 The Karhunen–Loève expansion
    13.4 The Wiener integral (again)
    13.5 Projections, orthogonality principle, projection theorem
    13.6 Conditional expectation and probability
    13.7 The spectral representation
    Notes
    Problems
    Exam preparation
    14. Other modes of convergence
    14.1 Convergence in probability
    14.2 Convergence in distribution
    14.3 Almost-sure convergence
    Notes
    Problems
    Exam preparation
    15. Self similarity and long-range dependence
    15.1 Self similarity in continuous time
    15.2 Self similarity in discrete time
    15.3 Asymptotic second-order self similarity
    15.4 Long-range dependence
    15.5 ARMA processes
    15.6 ARIMA processes
    Problems
    Exam preparation
    Bibliography
    Index

    Reviews

    There are no reviews yet.

    Be the first to review “Test Bank for Probability and Random Processes for Electrical and Computer Engineers (1st Edition)”

    Additional Information


    Resource Type:

    Ebook Title:

    Authors:

    Publisher: