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Mathematical Statistics is a discipline that sits at the intersection of probability theory and statistical analysis, providing the theoretical founda .... Read More
Mathematical Statistics is a discipline that sits at the intersection of probability theory and statistical analysis, providing the theoretical foundation for the science of data. As our world becomes increasingly data-driven, the importance of understanding the methods and principles that underpin statistical inference has never been greater. This book is designed to introduce readers to the core concepts of mathematical statistics, while also providing the necessary mathematical rigor to understand, develop, and apply these techniques.
| Sr | Chapter Name | No Of Page |
|---|---|---|
| 1 | 1. FREQUENCY DISTRIBUTION AND MEASURES OF CENTRAL TENDENCY | 35 |
| 2 | 2. MEASURES OF DISPERSION, SKEWNESS AND KURTOSIS MOMENT OF FREQUENCY .. | 49 |
| 3 | 3. THEORY OF PROBABILITY | 64 |
| 4 | 4. DISCREATE PROBABILITY DISTRIBUTION | 33 |
| 5 | 5. DISCRETE PROBABILITY DISTRIBUTION (THEORETICAL DISTRIBUTION) | 45 |
| 6 | 6. CONTINUOUS PROBABILITY DISTRIBUTION | 41 |
| 7 | 7. CONTINUOUS PROBABILITY DISTRIBUTION (THEORETICAL DISTRIBUTION) | 55 |
| 8 | 8. 7A. SPECIFIC PROBABILITY DISTRIBUTIONS | 42 |
| 9 | 9. PRINCIPAL OF LEAST SQUARES AND FITTING OF CURVES | 12 |
| 10 | 10. CORRELATION AND REGRESSION | 56 |
| 11 | 11. MULTIPLE AND PARTIAL CORRELATIONS | 24 |
| 12 | 12. THEORY OF SAMPLING | 33 |
| 13 | 13. CHI-SQUARE DISTRIBUTION | 18 |
| 14 | 14. TEST OF SIGNIFICANCE (BASE ON CHI-DISTRIBUTION) | 26 |
| 15 | 15. SAMPLING OF VARIABLES : SMALL-SAMPLES t, F AND z DISTRIBUTION | 24 |
| 16 | 16. TEST OF SIGNIFICANCE BASED ON , AND -DISTRIBUTIONS | 23 |
| 17 | 17. ANALYSIS OF VARIANCE | 21 |
| 18 | 18. INFERENCE-1 (ESTIMATION) | 32 |
| 19 | 19. INFERENCE 2 (TESTING HYPOTHESIS) | 22 |
| 20 | 20. INTERVAL ESTIMATION | 11 |
| 21 | 21. STOCHASTIC PROCESS | 28 |
| 22 | 22. ORDER STATISTICS | 14 |
| 23 | 23. APPENDIX | 14 |
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