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| Preface | ||
| Ch. 1 | Definitions and Basic Inequalities | 3 |
| Ch. 2 | Moment Estimations of Partial Sums | 15 |
| Ch. 3 | Weak Convergence for [alpha]-mixing Sequences | 41 |
| Ch. 4 | Weak Convergence for [rho]-mixing Sequences | 71 |
| Ch. 5 | Weak Convergence of [actual symbol not reproducible] Sequences | 123 |
| Ch. 6 | Weak Convergence for Mixing Random Fields | 141 |
| Ch. 7 | The Berry-Esseen Inequality and the Rate of Weak Convergence | 169 |
| Ch. 8 | Laws of Large Numbers and Complete Convergence | 191 |
| Ch. 9 | Strong Approximations | 241 |
| Ch. 10 | The Increments of Partial Sums | 269 |
| Ch. 11 | Strong Approximations for Mixing Random Fields | 287 |
| Ch. 12 | Empirical Processes | 311 |
| Ch. 13 | Convergence of Some Statistics with a Mixing Sample | 347 |
| Ch. 14 | Strong Approximations for Other Kinds of Dependent Random Variables | 379 |
| Appendix | 406 | |
| References | 409 | |
| Index | 425 |
| Price | Condition | Delivery | Seller | Action |
| $210.00 | Digital |
| WonderClub |
Eloy Lopez
reviewed Limit Theory For Mixing Dependent Random Variables on August 20, 2020
Limit Theory For Mixing Dependent Random Variables
Great for the student interested in learning more about calculus. Good first math book for college.
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