Satz von Cramer (große Abweichungen)

Satz von Cramer (große Abweichungen) Cramér's theorem is a fundamental result in the theory of large deviations, a subdiscipline of probability theory. It determines the rate function of a series of iid random variables. A weak version of this result was first shown by Harald Cramér in 1938.

Statement The logarithmic moment generating function (which is the cumulant-generating function) of a random variable is defined as: {Anzeigestil Lambda (t)=log operatorname {E} [exp(tX_{1})].} Lassen {Anzeigestil X_{1},X_{2},Punkte } be a sequence of iid real random variables with finite logarithmic moment generating function, z.B. {Anzeigestil Lambda (t)Name des Bedieners {E} [X_{1}].} In the terminology of the theory of large deviations the result can be reformulated as follows: Wenn {Anzeigestil X_{1},X_{2},Punkte } is a series of iid random variables, then the distributions {Anzeigestil links({mathematisch {L}}({tfrac {1}{n}}Summe _{i=1}^{n}X_{ich})Rechts)_{nin mathbb {N} }} satisfy a large deviation principle with rate function {displaystyle Lambda ^{*}} .

References Klenke, Achim (2008). Probability Theory. Berlin: Springer. pp. 508. doi:10.1007/978-1-84800-048-3. ISBN 978-1-84800-047-6. "Cramér theorem", Enzyklopädie der Mathematik, EMS-Presse, 2001 [1994] Kategorien: Large deviations theoryProbability theorems