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by Roy D. Yates and David J. Goodman

Edition: 2ND 05Copyright: 2005

Publisher: John Wiley & Sons, Inc.

Published: 2005

International: No

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2. Discrete Random Variables

3. Continuous Random Variables

4. Pairs of Random Variables

5. Random Vectors

6. Sums of Random Variables

7. Parameter Estimation Using the Sample Mean

8. Hypothesis Testing

9. Estimation of a Random Variable

10.Stochastic Processes

11.Random Signal Processing

12.Markov Chains

Appendices

References

Index

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Summary

This user-friendly resource helps readers grasp the concepts of probability and stochastic processes, so they can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach provides a better understanding of the material, which can be used to solve practical problems.

Table of Contents

1. Experiments, Models, and Probabilities

2. Discrete Random Variables

3. Continuous Random Variables

4. Pairs of Random Variables

5. Random Vectors

6. Sums of Random Variables

7. Parameter Estimation Using the Sample Mean

8. Hypothesis Testing

9. Estimation of a Random Variable

10.Stochastic Processes

11.Random Signal Processing

12.Markov Chains

Appendices

References

Index

2. Discrete Random Variables

3. Continuous Random Variables

4. Pairs of Random Variables

5. Random Vectors

6. Sums of Random Variables

7. Parameter Estimation Using the Sample Mean

8. Hypothesis Testing

9. Estimation of a Random Variable

10.Stochastic Processes

11.Random Signal Processing

12.Markov Chains

Appendices

References

Index

Publisher Info

Publisher: John Wiley & Sons, Inc.

Published: 2005

International: No

Published: 2005

International: No

2. Discrete Random Variables

3. Continuous Random Variables

4. Pairs of Random Variables

5. Random Vectors

6. Sums of Random Variables

7. Parameter Estimation Using the Sample Mean

8. Hypothesis Testing

9. Estimation of a Random Variable

10.Stochastic Processes

11.Random Signal Processing

12.Markov Chains

Appendices

References

Index