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20240329122006.0 |
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221015s2012 xx o ||| 0 eng d |
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|a EBLCP
|b eng
|c EBLCP
|d DXU
|d OCLCO
|d OCLCQ
|d OCLCL
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|c (S
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|a 9781118393949
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|a 1118393945
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|a (OCoLC)1347027589
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|a 519.2
|q OCoLC
|2 23/eng/20231120
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| 049 |
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|a UAMI
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| 100 |
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|a Shynk, John J.
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| 245 |
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|a Probability, Random Variables, and Random Processes
|h [electronic resource] :
|b Theory and Signal Processing Applications.
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| 260 |
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|a Newark :
|b John Wiley & Sons, Incorporated,
|c 2012.
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| 300 |
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|a 1 online resource (796 p.).
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| 490 |
1 |
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|a New York Academy of Sciences Ser.
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| 500 |
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|a Description based upon print version of record.
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0 |
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|a Intro -- PROBABILITY, RANDOM VARIABLES, AND RANDOM PROCESSES -- CONTENTS -- PREFACE -- NOTATION -- 1 Overview and Background -- 1.1 Introduction -- 1.1.1 Signals, Signal Processing, and Communications -- 1.1.2 Probability, Random Variables, and Random Vectors -- 1.1.3 Random Sequences and Random Processes -- 1.1.4 Delta Functions -- 1.2 Deterministic Signals and Systems -- 1.2.1 Continuous Time -- 1.2.2 Discrete Time -- 1.2.3 Discrete-Time Filters -- 1.2.4 State-Space Realizations -- 1.3 Statistical Signal Processing with MATLAB® -- 1.3.1 Random Number Generation -- 1.3.2 Filtering
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| 505 |
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|a Problems -- Further Reading -- PART I Probability, Random Variables, and Expectation -- 2 Probability Theory -- 2.1 Introduction -- 2.2 Sets and Sample Spaces -- 2.3 Set Operations -- 2.4 Events and Fields -- 2.5 Summary of a Random Experiment -- 2.6 Measure Theory -- 2.7 Axioms of Probability -- 2.8 Basic Probability Results -- 2.9 Conditional Probability -- 2.10 Independence -- 2.11 Bayes' Formula -- 2.12 Total Probability -- 2.13 Discrete Sample Spaces -- 2.14 Continuous Sample Spaces -- 2.15 Nonmeasurable Subsets of R -- Problems -- Further Reading -- 3 Random Variables -- 3.1 Introduction
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| 505 |
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|a 3.2 Functions and Mappings -- 3.3 Distribution Function -- 3.4 Probability Mass Function -- 3.5 Probability Density Function -- 3.6 Mixed Distributions -- 3.7 Parametric Models for Random Variables -- 3.8 Continuous Random Variables -- 3.8.1 Gaussian Random Variable (Normal) -- 3.8.2 Log-Normal Random Variable -- 3.8.3 Inverse Gaussian Random Variable (Wald) -- 3.8.4 Exponential Random Variable (One-Sided) -- 3.8.5 Laplace Random Variable (Double-Sided Exponential) -- 3.8.6 Cauchy Random Variable -- 3.8.7 Continuous Uniform Random Variable -- 3.8.8 Triangular Random Variable
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|a 3.9.1 Bernoulli Random Variable -- 3.9.2 Binomial Random Variable -- 3.9.3 Geometric Random Variable (with Support Z+ or N) -- 3.9.4 Negative Binomial Random Variable (Pascal) -- 3.9.5 Poisson Random Variable -- 3.9.6 Hypergeometric Random Variable -- 3.9.7 Discrete Uniform Random Variable -- 3.9.8 Logarithmic Random Variable (Log-Series) -- 3.9.9 Zeta Random Variable (Zipf) -- Problems -- Further Reading -- 4 Multiple Random Variables -- 4.1 Introduction -- 4.2 Random Variable Approximations -- 4.2.1 Binomial Approximation of Hypergeometric -- 4.2.2 Poisson Approximation of Binomial
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| 500 |
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|a 4.2.3 Gaussian Approximations
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 758 |
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|i has work:
|a Probability, random variables, and processes (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGTYpk4D6JbTKDRWvkVgrq
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Shynk, John J.
|t Probability, Random Variables, and Random Processes
|d Newark : John Wiley & Sons, Incorporated,c2012
|z 9780470242094
|
| 830 |
|
0 |
|a New York Academy of Sciences Ser.
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| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7103603
|z Texto completo
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| 880 |
8 |
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|6 505-00/(S
|a 3.8.9 Rayleigh Random Variable -- 3.8.10 Rice Random Variable -- 3.8.11 Gamma Random Variable (Erlang for r ∈ N) -- 3.8.12 Beta Random Variable (Arcsine for α = β = 1/2, Power Function for β = 1) -- 3.8.13 Pareto Random Variable -- 3.8.14 Weibull Random Variable -- 3.8.15 Logistic Random Variable (Sigmoid for {μ = 0, α = 1}) -- 3.8.16 Chi Random Variable (Maxwell-Boltzmann, Half-Normal) -- 3.8.17 Chi-Square Random Variable -- 3.8.18 F-Distribution -- 3.8.19 Student's t Distribution -- 3.8.20 Extreme Value Distribution (Type I: Gumbel) -- 3.9 Discrete Random Variables
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| 938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL7103603
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| 994 |
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|a 92
|b IZTAP
|
