Preface to the 1st edition | p. v |
Preface to the 2nd edition | p. vii |
Notation and Symbols | p. xiii |
Introduction | p. 1 |
Limit Theorems for Stopped Random Walks | p. 9 |
Introduction | p. 9 |
a.s. Convergence and Convergence in Probability | p. 12 |
Anscombe's Theorem | p. 16 |
Moment Convergence in the Strong Law and the Central Limit Theorem | p. 18 |
Moment Inequalities | p. 21 |
Uniform Integrability | p. 30 |
Moment Convergence | p. 39 |
The Stopping Summand | p. 42 |
The Law of the Iterated Logarithm | p. 44 |
Complete Convergence and Convergence Rates | p. 45 |
Problems | p. 47 |
Renewal Processes and Random Walks | p. 49 |
Introduction | p. 49 |
Renewal Processes; Introductory Examples | p. 50 |
Renewal Processes; Definition and General Facts | p. 51 |
Renewal Theorems | p. 54 |
Limit Theorems | p. 57 |
The Residual Lifetime | p. 61 |
Further Results | p. 64 |
| p. 64 |
| p. 65 |
| p. 65 |
| p. 66 |
| p. 66 |
| p. 66 |
Random Walks; Introduction and Classifications | p. 66 |
Ladder Variables | p. 69 |
The Maximum and the Minimum of a Random Walk | p. 71 |
Representation Formulas for the Maximum | p. 72 |
Limit Theorems for the Maximum | p. 74 |
Renewal Theory for Random Walks with Positive Drift | p. 79 |
Introduction | p. 79 |
Ladder Variables | p. 82 |
Finiteness of Moments | p. 83 |
The Strong Law of Large Numbers | p. 88 |
The Central Limit Theorem | p. 91 |
Renewal Theorems | p. 93 |
Uniform Integrability | p. 96 |
Moment Convergence | p. 98 |
Further Results on E¿(t) and Var ¿(t) | p. 100 |
The Overshoot | p. 103 |
The Law of the Iterated Logarithm | p. 108 |
Complete Convergence and Convergence Rates | p. 109 |
Applications to the Simple Random Walk | p. 109 |
Extensions to the Non-I.I.D. Case | p. 112 |
Problems | p. 112 |
Generalizations and Extensions | p. 115 |
Introduction | p. 115 |
A Stopped Two-Dimensional Random Walk | p. 116 |
Some Applications | p. 126 |
Chromatographic Methods | p. 126 |
Motion of Water in a River | p. 129 |
The Alternating Renewal Process | p. 129 |
Cryptomachines | p. 130 |
Age Replacement Policies | p. 130 |
Age Replacement Policies; Cost Considerations | p. 132 |
Random Replacement Policies | p. 132 |
Counter Models | p. 132 |
Insurance Risk Theory | p. 133 |
The Queueing System M/G/1 | p. 134 |
The Waiting Time in a Roulette Game | p. 134 |
A Curious (?) Problem | p. 136 |
The Maximum of a Random Walk with Positive Drift | p. 136 |
First Passage Times Across General Boundaries | p. 141 |
Functional Limit Theorems | p. 157 |
Introduction | p. 157 |
An Anscombe–Donsker Invariance Principle | p. 157 |
First Passage Times for Random Walks with Positive Drift | p. 162 |
A Stopped Two-Dimensional Random Walk | p. 167 |
The Maximum of a Random Walk with Positive Drift | p. 169 |
First Passage Times Across General Boundaries | p. 170 |
The Law of the Iterated Logarithm | p. 172 |
Further Results | p. 174 |
Perturbed Random Walks | p. 175 |
Introduction | p. 175 |
Limit Theorems; the General Case | p. 178 |
Limit Theorems; the Case <$>Z_n = n cdot g(bar Y_n)<$> | p. 183 |
Convergence Rates | p. 190 |
Finiteness of Moments; the General Case | p. 190 |
Finiteness of Moments; the Case <$>Z_n = n cdot g (bar Y_n)<$> | p. 194 |
Moment Convergence; the General Case | p. 198 |
Moment Convergence; the Case <$>Z_n = n cdot g(bar Y_n)<$> | p. 200 |
Examples | p. 202 |
Stopped Two-Dimensional Perturbed Random Walks | p. 205 |
The Case <$>Z_n = n cdot g(bar Y_n)<$> | p. 209 |
An Application | p. 211 |
Remarks on Further Results and Extensions | p. 214 |
Problems | p. 221 |
Some Facts from Probability Theory | p. 223 |
Convergence of Moments. Uniform Integrability | p. 223 |
Moment Inequalities for Martingales | p. 225 |
Convergence of Probability Measures | p. 229 |
Strong Invariance Principles | p. 234 |
Problems | p. 235 |
Some Facts about Regularly Varying Functions | p. 237 |
Introduction and Definitions | p. 237 |
Some Results | p. 238 |
References | p. 241 |
Index | p. 257 |
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