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E-raamat: Schaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition

  • Formaat: 352 pages
  • Ilmumisaeg: 22-Oct-2019
  • Kirjastus: McGraw-Hill Education
  • Keel: eng
  • ISBN-13: 9781260453829
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Schaum's Outline of Probability, Random Variables, and Random Processes, Fourth EditionSuurem pilt
  • Formaat: 352 pages
  • Ilmumisaeg: 22-Oct-2019
  • Kirjastus: McGraw-Hill Education
  • Keel: eng
  • ISBN-13: 9781260453829
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Tough Test Questions? Missed Lectures? Not Enough Time?

Fortunately, there’s Schaum’s.

More than 40 million students have trusted Schaum’s to help them succeed in the classroom and on exams. Schaum’s is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.

Schaum’s Outline of Probability, Random Variables, and Random Processes, Fourth Edition is packed with hundreds of examples, solved problems, and practice exercises to test your skills. This updated guide approaches the subject in a more concise, ordered manner than most standard texts, which are often filled with extraneous material.

Schaum’s Outline of Probability, Random Variables, and Random Processes, Fourth Edition features:

•  405 fully-solved problems
•  22 problem-solving videos
•  An accessible review of probability and statistics concepts
•  Clear, concise explanations of probability, random variables, and random processes
•  Content supplements the major leading textbooks in probability and statistics
•  Content that is appropriate for Probability, Random Processes, Stochastic Processes, Probability and Random Variables, Introduction to Probability and Statistics courses

PLUS: Access to the revised Schaums.com website and new app, containing 22 problem-solving videos, and more.

Schaum’s reinforces the main concepts required in your course and offers hundreds of practice exercises to help you succeed. Use Schaum’s to shorten your study time—and get your best test scores!

Schaum’s Outlines—Problem solved.

      Chapter 1 Probability
      		1(49)
      1.1 Introduction
      		1(1)
      1.2 Sample Space and Events
      		1(1)
      1.3 Algebra of Sets
      		2(4)
      1.4 Probability Space
      		6(3)
      1.5 Equally Likely Events
      		9(1)
      1.6 Conditional Probability
      		10(1)
      1.7 Total Probability
      		10(1)
      1.8 Independent Events
      		11(39)
      Solved Problems
      		12(38)
      Chapter 2 Random Variables
      		50(51)
      2.1 Introduction
      		50(1)
      2.2 Random Variables
      		50(2)
      2.3 Distribution Functions
      		52(1)
      2.4 Discrete Random Variables and Probability Mass Functions
      		53(1)
      2.5 Continuous Random Variables and Probability Density Functions
      		54(1)
      2.6 Mean and Variance
      		54(1)
      2.7 Some Special Distributions
      		55(9)
      2.8 Conditional Distributions
      		64(37)
      Solved Problems
      		65(36)
      Chapter 3 Multiple Random Variables
      		101(48)
      3.1 Introduction
      		101(1)
      3.2 Bivariate Random Variables
      		101(1)
      3.3 Joint Distribution Functions
      		102(1)
      3.4 Discrete Random Variables---Joint Probability Mass Functions
      		103(1)
      3.5 Continuous Random Variables---Joint Probability Density Functions
      		104(1)
      3.6 Conditional Distributions
      		105(1)
      3.7 Covariance and Correlation Coefficient
      		106(1)
      3.8 Conditional Means and Conditional Variances
      		107(1)
      3.9 W-Variate Random Variables
      		108(2)
      3.10 Special Distributions
      		110(39)
      Solved Problems
      		112(37)
      Chapter 4 Functions of Random Variables, Expectation, Limit Theorems
      		149(58)
      4.1 Introduction
      		149(1)
      4.2 Functions of One Random Variable
      		149(1)
      4.3 Functions of Two Random Variables
      		150(1)
      4.4 Functions of n Random Variables
      		151(1)
      4.5 Expectation
      		152(2)
      4.6 Probability Generating Functions
      		154(1)
      4.7 Moment Generating Functions
      		155(1)
      4.8 Characteristic Functions
      		156(2)
      4.9 The Laws of Large Numbers and the Central Limit Theorem
      		158(49)
      Solved Problems
      		159(48)
      Chapter 5 Random Processes
      		207(64)
      5.1 Introduction
      		207(1)
      5.2 Random Processes
      		207(1)
      5.3 Characterization of Random Processes
      		208(1)
      5.4 Classification of Random Processes
      		209(2)
      5.5 Discrete-Parameter Markov Chains
      		211(5)
      5.6 Poisson Processes
      		216(2)
      5.7 Wiener Processes
      		218(1)
      5.8 Martingales
      		219(52)
      Solved Problems
      		222(49)
      Chapter 6 Analysis and Processing of Random Processes
      		271(41)
      6.1 Introduction
      		271(1)
      6.2 Continuity, Differentiation, Integration
      		271(2)
      6.3 Power Spectral Densities
      		273(2)
      6.4 White Noise
      		275(1)
      6.5 Response of Linear Systems to Random Inputs
      		276(3)
      6.6 Fourier Series and Karhunen-Loeve Expansions
      		279(1)
      6.7 Fourier Transform of Random Processes
      		280(32)
      Solved Problems
      		282(30)
      Chapter 7 Estimation Theory
      		312(19)
      7.1 Introduction
      		312(1)
      7.2 Parameter Estimation
      		312(1)
      7.3 Properties of Point Estimators
      		312(1)
      7.4 Maximum-Likelihood Estimation
      		313(1)
      7.5 Bayes' Estimation
      		314(1)
      7.6 Mean Square Estimation
      		314(1)
      7.7 Linear Mean Square Estimation
      		315(16)
      Solved Problems
      		316(15)
      Chapter 8 Decision Theory
      		331(18)
      8.1 Introduction
      		331(1)
      8.2 Hypothesis Testing
      		331(1)
      8.3 Decision Tests
      		332(17)
      Solved Problems
      		335(14)
      Chapter 9 Queueing Theory
      		349(18)
      9.1 Introduction
      		349(1)
      9.2 Queueing Systems
      		349(1)
      9.3 Birth-Death Process
      		350(2)
      9.4 The M/M/1 Queueing System
      		352(1)
      9.5 The M/M/s Queueing System
      		352(1)
      9.6 The M/M/1/K Queueing System
      		353(1)
      9.7 The M/M/s/K Queueing System
      		354(13)
      Solved Problems
      		355(12)
      Chapter 10 Information Theory
      		367(44)
      10.1 Introduction
      		367(1)
      10.2 Measure of Information
      		367(2)
      10.3 Discrete Memory less Channels
      		369(2)
      10.4 Mutual Information
      		371(2)
      10.5 Channel Capacity
      		373(1)
      10.6 Continuous Channel
      		374(1)
      10.7 Additive White Gaussian Noise Channel
      		375(1)
      10.8 Source Coding
      		376(2)
      10.9 Entropy Coding
      		378(35)
      Solved Problems
      		380(33)
      Appendix A Normal Distribution 411(2)
      Appendix B Fourier Transform 413(4)
      B.1 Continuous-Time Fourier Transform
      		413(1)
      B.2 Discrete-Time Fourier Transform
      		414(3)
      Index 417
      McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide.
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