On Second Statistical Moments for Capricious Vague Perceptions
نویسندگان
چکیده
منابع مشابه
On Pattern Classification Using Statistical Moments
Selecting appropriate feature extraction method is absolutely one of the most important factors to archive high classification performance in pattern recognition systems. Among different feature extraction methods proposed for pattern recognition, statistical moments seem to be so promising. Whereas theoretical comparison of the moments is too complicated, in this paper, an experimental evaluat...
متن کاملCVaR Reduced Fuzzy Variables and Their Second Order Moments
Based on credibilistic value-at-risk (CVaR) of regularfuzzy variable, we introduce a new CVaR reduction method fortype-2 fuzzy variables. The reduced fuzzy variables arecharacterized by parametric possibility distributions. We establishsome useful analytical expressions for mean values and secondorder moments of common reduced fuzzy variables. The convex properties of second order moments with ...
متن کاملStatistical inference of spectral estimation for continuous-time MA processes with finite second moments
In this paper we investigate a continuous-time MA (moving average) process (Xt)t≥0 sampled at an equally spaced time grid {∆,2∆, . . . ,n∆}, where the grid distance ∆ > 0 is fixed and n denotes the number of observations, in the frequency domain. We derive for the process (Xk∆)k∈N with finite second moments the asymptotic behavior of the periodogram and of the lag-window spectral density estima...
متن کاملOscillating Statistical Moments for Speech Polarity Detection
An inversion of the speech polarity may have a dramatic detrimental effect on the performance of various techniques of speech processing. An automatic method for determining the speech polarity (which is dependent upon the recording setup) is thus required as a preliminary step for ensuring the well-behaviour of such techniques. This paper proposes a new approach of polarity detection relying o...
متن کاملHouse-Hunting Without Second Moments
In the house-hunting problem, i.i.d. random variables, X1,X2, . . . are observed sequentially at a cost of c > 0 per observation. The problem is to choose a stopping rule, N , to maximize E(XN − Nc). If the X’s have a finite second moment, the optimal stopping rule is N∗ = min{n ≥ 1 : Xn > V ∗}, where V ∗ satisfies E(X − V ∗)+ = c. The statement of the problem and its solution requires only the...
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 Institute of Systems, Control and Information Engineers
سال: 2013
ISSN: 1342-5668,2185-811X
DOI: 10.5687/iscie.26.375