This book is designed to meet the requirements of students and is intended for beginners to help them understand the concepts from the first principles. Spread across 16 chapters, it discusses the theoretical aspects that have been refined and updated to reflect the current developments in the subjects. It expounds on theoretical concepts that have immense practical applications, giving adequate proofs to establish significant theorems.

Book Contents –

Chapter 1: Probability Chapter 2: Random Variables (Discrete and Continuous) Chapter 3: Mathematical Expectation Chapter 4: Standard Discrete Distributions Chapter 5: Standard Continuous Distributions Chapter 6: Sampling Theory and Distribution Chapter 7: Testing of Hypothesis (Large Samples) Chapter 8: Test of Hypothesis (Small Samples) Chapter 9: Estimation Chapter 10: Curve Fitting Chapter 11: Correlation Chapter 12: Regression Chapter 13: Queuing Theory Chapter 14: Design of Experiments Chapter 15: Random Process Chapter 16: Advanced Random Process Appendix A, Appendix B, Appendix C, Appendix D Index