000 00961cam a2200205 i 4500
020 _a9781461447078 (hardback : acidfree paper)
040 _cDLC
082 0 0 _a519.24
_bGUT/P
100 1 _aGut, Allan
_911159
245 1 0 _aProbability: a graduate course /
250 _a2nd ed.
260 _aNew York:
_bSpringer,
_c2013.
300 _axxv, 600 p.
_c25 cm.
504 _aIncludes bibliographical references (pages 577-586) and index.
505 _a Preface to the Second Edition.- Outline of Contents.- Notation and Symbols.- Introductory Measure Theory.- Random Variables.- Inequalities.- Characteristic Functions.- Convergence.- The Law of Large Numbers.- The Central Limit Theorem.- The Law of the Iterated Logarithm.- Limited Theorems.- Martingales.- Some Useful Mathematics.- References.-
650 0 _aProbabilities.
_94579
650 0 _aDistribution (Probability theory)
_910792
650 0 _aProbabilistic number theory.
_911160
942 _cWB16
999 _c196642
_d196642