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Book Categories |
| Measures and integration : an informal introduction | 1 | |
| 1 | Measures | 9 |
| 2 | Integration | 39 |
| 3 | L[superscript p]-spaces | 83 |
| 4 | Differentiation | 113 |
| 5 | Product measures, convolutions, and transforms | 147 |
| 6 | Probability spaces | 189 |
| 7 | Independence | 219 |
| 8 | Laws of large numbers | 237 |
| 9 | Convergence in distribution | 287 |
| 10 | Characteristic functions | 317 |
| 11 | Central limit theorems | 343 |
| 12 | Conditional expectation and conditional probability | 383 |
| 13 | Discrete parameter martingales | 399 |
| 14 | Markov chains and MCMC | 439 |
| 15 | Stochastic processes | 487 |
| 16 | Limit theorems for dependent processes | 509 |
| 17 | The bootstrap | 533 |
| 18 | Branching processes | 561 |
| A | Advanced calculus : a review | 573 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Himanshu Borah
reviewed Measure Theory and Probability Theory on January 20, 2015
Measure Theory and Probability Theory
I used this for my calculus classes. The author has his own way of going through questions, so it really depends on the teacher which way is acceptable. This was a required text, but for the most part it seemed to be a good teaching. It was nice to get a second opinion on topics and go more in-depth. Probably recommend to those taking a class, because without instruction it's a tougher read.
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