Probability and Statistics, Random Variables, and Queuing Theory
5th Edition
9364449037
·
9789364449038
© 2027 | Published: July 10, 2026
Overview:This book offers a clear, systematic introduction to core mathematical concepts. The text covers varied topics such as probability theory, random variables, probability distributions, random processes, queueing theory and statistical inferen…
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1. Probability Theory
2. Random Variables
3. Joint distribution
4. Statistic Averages and Inequalities
5. Sampling Distributions and Estimation
6. Random Processes
7. Markov Chains and Spectral Analysis
8. Queuing theory
9. Reliability and Networks
10. Statistical Inference
11. Design of Experiments
12. Statistical Quality Control and Regression
Appendix: Statistical Tables
2. Random Variables
3. Joint distribution
4. Statistic Averages and Inequalities
5. Sampling Distributions and Estimation
6. Random Processes
7. Markov Chains and Spectral Analysis
8. Queuing theory
9. Reliability and Networks
10. Statistical Inference
11. Design of Experiments
12. Statistical Quality Control and Regression
Appendix: Statistical Tables
Overview:
This book offers a clear, systematic introduction to core mathematical concepts. The text covers varied topics such as probability theory, random variables, probability distributions, random processes, queueing theory and statistical inference. With refined explanations and consistent notation, this book builds both conceptual understanding and problem-solving proficiency. It is an ideal resource for university examinations and competitive tests. It would be useful for students seeking a solid foundation for advanced studies in statistics, data science, machine learning, operations research, and related disciplines
Key Features:
1. Simplified explanation with comprehensive coverage of topics with step-by-step problem-solving approaches that cater to beginners.
2. Extensive worked examples and exercises enabling students to master key topics.
3. Focus on applications of probability and queuing theory in real-world scenario
This book offers a clear, systematic introduction to core mathematical concepts. The text covers varied topics such as probability theory, random variables, probability distributions, random processes, queueing theory and statistical inference. With refined explanations and consistent notation, this book builds both conceptual understanding and problem-solving proficiency. It is an ideal resource for university examinations and competitive tests. It would be useful for students seeking a solid foundation for advanced studies in statistics, data science, machine learning, operations research, and related disciplines
Key Features:
1. Simplified explanation with comprehensive coverage of topics with step-by-step problem-solving approaches that cater to beginners.
2. Extensive worked examples and exercises enabling students to master key topics.
3. Focus on applications of probability and queuing theory in real-world scenario