Asymptotic properties of the maximum in a stationary Gaussian process.
نویسندگان
چکیده
منابع مشابه
Some Properties of Large Excursions of a Stationary Gaussian Process
The present work investigates two properties of level crossings of a stationary Gaussian process X(t) with autocorrelation function RX(τ). We show firstly that if RX(τ) admits finite second and fourth derivatives at the origin, the length of up-excursions above a large negative level −γ is asymptotically exponential as −γ → −∞. Secondly, assuming that RX(τ) admits a finite second derivative at ...
متن کاملAsymptotic Theory for Maximum Likelihood Estimation of the Memory Parameter in Stationary Gaussian Processes
Consistency, asymptotic normality and e¢ ciency of the maximum likelihood estimator for stationary Gaussian time series, were shown to hold in the short memory case by Hannan (1973) and in the long memory case by Dahlhaus (1989). In this paper, we extend these results to the entire stationarity region, including the case of antipersistence and noninvertibility. In the process of proving the mai...
متن کاملOn the tails of the distribution of the maximum of a smooth stationary Gaussian process
This paper deals with the asymptotic behavior when the level tends to +1, of the tail of the distribution of the maximum of a stationary Gaussian process on a xed interval of the line. For processes satisfying certain regularity conditions, we give a second order term for this asymptotics.
متن کاملa swot analysis of the english program of a bilingual school in iran
با توجه به جایگاه زبان انگلیسی به عنوان زبانی بین المللی و با در نظر گرفتن این واقعیت که دولت ها و مسئولان آموزش و پرورش در سراسر جهان در حال حاضر احساس نیاز به ایجاد موقعیتی برای کودکان جهت یاد گیری زبان انگلیسی درسنین پایین در مدارس دو زبانه می کنند، تحقیق حاضر با استفاده از مدل swot (قوت ها، ضعف ها، فرصتها و تهدیدها) سعی در ارزیابی مدرسه ای دو زبانه در ایران را دارد. جهت انجام این تحقیق در م...
15 صفحه اولAsymptotic Distribution for the Sum and Maximum of Gaussian Processes
Previous work on the joint asymptotic distribution of the sum and maxima of Gaussian processes is extended here. In particular, it is shown that for a stationary sequence of standard normal random variables with correlation function r, the condition r(n) log n = o(1) as n →∞ suffices to establish the asymptotic independence of the sum and maximum.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transactions of the American Mathematical Society
سال: 1969
ISSN: 0002-9947
DOI: 10.1090/s0002-9947-1969-0250368-1