mapping of the scene may be considered as a variance (radar cross-section) estimation of space non-stationary process (scattering coefficient). Proposed algorithm characterizes by higher resolution of the radar cross-section estimation. Moreover results of the optimal parameter estimation may

We highlight a very simple statistical tool for the analysis of financial bubbles, which has already been studied in [1]. We provide extensive empirical tests of this statistical tool and investigate analytically its link with stocks correlation structure.

We present an algorithm that is able to smooth out the speckle from many SAR images and which does not suffer from the drawbacks of multilooking. The algorithm is able to preserve the detail and resolution of the original image while preserving a smooth, real-valued output. In many cases the quality of the smoothed image is sufficiently high that it may be used with standard optical post-processing algorithms.

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Efficiency of estimators in additive fixed-effects models is investigated. Asymptotically, panel data are more efficient in case of strong residual autocorrelation; in small samples, variances are comparable, but repeated cross-sections show larger bias for some parameter values. Key words

Abstract: We estimate the total cross sections for field stimulated photoemissions and photoabsorptions by quasi-free electrons within a non-equilibrium plasma evolving from the strong coupling to the weak coupling regime. Such transition may occur within laser-created plasmas, when the initially

systematically positive (negative) estimates of abnormal accruals for firms whose cash flows are below (above) their industry median. Using mean squared prediction errors as well as simulation analysis, we show that our model is more powerful than the cross-sectional Jones model in detecting earnings management

THE SPECIFICATION of the money demand function has important impli-cations for a number of macroeconomic issues. First, if policymakers are to be responsible for achieving price stability, they need reliable quantitative estimates of money demand. ' In particular, if the money de-mand function

ture's 1987-88 Nationwide Food Consumption Survey data. The censored translog demand system is estimated with full-information and simulated maximum-likelihood procedures. These procedures represent different approaches to evaluation of multiple probability integrals in the likelihood function

been the object of able labor among regions. It attempts to rectify some estimation attempts in the past. These efforts have of these inadequacies by applying relatively simple relied on regression analysis [2, 3, 7, 9], trend func-statistical adjustments. These are based on secondary tions [4, 8