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020 _a9781260453812
020 _a9781260453812
020 _a9781260453812
020 _a260453812
035 _a(OCoLC)1150211674
040 _aABU
_btur
_erda
041 0 _aeng
050 0 0 _aQA 273.25
_b.H78 2020
072 7 _aSTU
_x026000
_2bisacsh
100 1 _aHsu, Hwei P.,
_eauthor.
_949173
245 1 0 _aSchaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition /
_cHwei P. Hsu.
250 _a4. basım
264 1 _aNew York, N.Y. :
_bMcGraw-Hill Education,
_c[2020]
264 4 _c?2020.
300 _a422 sayfa :
_btablo ;
_c27 cm.
336 _atext
_2rdacontent.
337 _acomputer
_2rdamedia.
338 _2rdacarrier.
347 _adata file
_2rda.
504 _aKaynakça var.
505 0 _aCover --
_tTitle Page --
_tCopyright Page --
_tPreface to The Second Edition --
_tPreface to The First Edition --
_tContents --
_tCHAPTER 1 Probability --
_t1.1 Introduction --
_t1.2 Sample Space and Events --
_t1.3 Algebra of Sets --
_t1.4 Probability Space --
_t1.5 Equally Likely Events --
_t1.6 Conditional Probability --
_t1.7 Total Probability --
_t1.8 Independent Events --
_tCHAPTER 2 Random Variables --
_t2.1 Introduction --
_t2.2 Random Variables --
_t2.3 Distribution Functions --
_t2.4 Discrete Random Variables and Probability Mass Functions --
_t2.5 Continuous Random Variables and Probability Density Functions --
_t2.6 Mean and Variance --
_t2.7 Some Special Distributions --
_t2.8 Conditional Distributions --
_tCHAPTER 3 Multiple Random Variables --
_t3.1 Introduction --
_t3.2 Bivariate Random Variables --
_t3.3 Joint Distribution Functions --
_t3.4 Discrete Random Variables?Joint Probability Mass Functions --
_t3.5 Continuous Random Variables?Joint Probability Density Functions --
_t3.6 Conditional Distributions --
_t3.7 Covariance and Correlation Coefficient --
_t3.8 Conditional Means and Conditional Variances --
_t3.9 N-Variate Random Variables --
_t3.10 Special Distributions --
_tCHAPTER 4 Functions of Random Variables, Expectation, Limit Theorems --
_t4.1 Introduction --
_t4.2 Functions of One Random Variable --
_t4.3 Functions of Two Random Variables --
_t4.4 Functions of n Random Variables --
_t4.5 Expectation --
_t4.6 Probability Generating Functions --
_t4.7 Moment Generating Functions --
_t4.8 Characteristic Functions --
_t4.9 The Laws of Large Numbers and the Central Limit Theorem --
_tCHAPTER 5 Random Processes --
_t5.1 Introduction --
_t5.2 Random Processes --
_t5.3 Characterization of Random Processes --
_t5.4 Classification of Random Processes --
_t5.5 Discrete-Parameter Markov Chains --
_t5.6 Poisson Processes --
_t5.7 Wiener Processes --
_t5.8 Martingales --
_tCHAPTER 6 Analysis and Processing of Random Processes --
_t6.1 Introduction --
_t6.2 Continuity, Differentiation, Integration --
_t6.3 Power Spectral Densities --
_t6.4 White Noise --
_t6.5 Response of Linear Systems to Random Inputs --
_t6.6 Fourier Series and Karhunen-Lo?ve Expansions --
_t6.7 Fourier Transform of Random Processes --
_tCHAPTER 7 Estimation Theory --
_t7.1 Introduction --
_t7.2 Parameter Estimation --
_t7.3 Properties of Point Estimators --
_t7.4 Maximum-Likelihood Estimation --
_t7.5 Bayes? Estimation --
_t7.6 Mean Square Estimation --
_t7.7 Linear Mean Square Estimation --
_tCHAPTER 8 Decision Theory --
_t8.1 Introduction --
_t8.2 Hypothesis Testing --
_t8.3 Decision Tests --
_tCHAPTER 9 Queueing Theory --
_t9.1 Introduction --
_t9.2 Queueing Systems --
_t9.3 Birth-Death Process --
_t9.4 The M/M/1 Queueing System --
_t9.5 The M/M/s Queueing System --
_t9.6 The M/M/1/K Queueing System --
_t9.7 The M/M/s/K Queueing System --
_tCHAPTER 10 Information Theory --
_t10.1 Introduction --
_t10.2 Measure of Information --
_t10.3 Discrete Memoryless Channels --
_t10.4 Mutual Information --
_t10.5 Channel Capacity --
_t10.6 Continuous Channel --
_t10.7 Additive White Gaussian Noise Channel --
_t10.8 Source Coding --
_t10.9 Entropy Coding --
_tAPPENDIX A Normal Distribution --
_tAPPENDIX B Fourier Transform --
_tB.1 Continuous-Time Fourier Transform --
_tB.2 Discrete-Time Fourier Transform --
_tINDEX.
506 1 _aAccess to the Contents available at Istanbul Technical University Campus and off-Campus just for the members.
530 _aAlso available in print edition.
533 _aElectronic reproduction.
_bNew York, N.Y. :
_cMcGraw Hill,
_d2020.
_nMode of access: World Wide Web.
_nSystem requirements: Web browser.
_nAccess may be restricted to users at subscribing institutions.
538 _aMode of access: Internet via World Wide Web.
546 _aIn English.
588 _aDescription based on e-Publication PDF.
650 0 _aProbabilities
_xOutlines, syllabi, etc.
650 0 _aRandom variables
_xOutlines, syllabi, etc.
650 0 _aStochastic processes
_xOutlines, syllabi, etc.
776 0 _iPrint version:
_tSchaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition,
_dNew York, N.Y. : McGraw-Hill Education, [2020].
_z9781260453812.
942 _2lcc
_cBK
999 _c22931
_d22931