Titlebook: Data Analysis in Astronomy III; V. Gesù,L. Scarsi,M. C. Maccarone Book 1989 Springer Science+Business Media New York 1989 astronomy.astrop

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书目名称Data Analysis in Astronomy III影响因子(影响力)




书目名称Data Analysis in Astronomy III影响因子(影响力)学科排名




书目名称Data Analysis in Astronomy III网络公开度




书目名称Data Analysis in Astronomy III网络公开度学科排名




书目名称Data Analysis in Astronomy III被引频次




书目名称Data Analysis in Astronomy III被引频次学科排名




书目名称Data Analysis in Astronomy III年度引用




书目名称Data Analysis in Astronomy III年度引用学科排名




书目名称Data Analysis in Astronomy III读者反馈




书目名称Data Analysis in Astronomy III读者反馈学科排名

饰带

观点

The Rayleigh Statistic in the Case of Weak Signals — Applications and Pitfallsstrength is less than this limit, then one should be careful when interpreting results, since the bias increases rapidly as p→0 which may result in the possibility of identifying a signal where none exists.

形上升才刺激

A Model for the Infrared Space Observatory Photometerrogress regarding the production of this model, in which case we will attempt to make this model as general as possible so that it may be used in modelling other similar experiments. In this paper we will discuss the problems associated with this work, the overall design concept, and the implementation.

indubitable

Stability in Factor Analyses with Respect to Small Perturbations of the Data and to Departure from Gond step, we recall the principle of two non-parametric processes, namely jackknife and bootstrap. In a last stage, we compare the robustness of the asymptotic results mentioned earlier with the results obtained through non parametric processes by means of simulation and drawing of random samples in a given population.

aviator

Statistical Restoration of Astronomical Images(i,j) is given by.where ε. represents the external contribution, in our case background and random noise. The main problem in the restoration of astronomical images is to estimate S(,) on a grid of points from the Z values, knowledge of the psf and adequate assumptions about the noise process.

aviator

Multidimensional Discrete Signals Description Using Rotation and Scale Invariant Pattern Spectruma structuring element, called kernel, strategically chosen by the observer. A morphological operation is then constitucd by a transformation followed by some measurement on the transformed signal. The measurement on the transformed signal can be its lenght, area, volume, etc., depending on the dimension of the signal.

合适

Applications of Decomposition Algorithm in Clustering Methodsto study properties of non-fuzzy partitions derived from a number of algorithms providing convex decomposition of matrix U..We suggest the possibility of the application of decomposition algorithm in clustering methods in two approaches:

GENUS

Yukari Shindo,Michiaki Yamakage that the latter is much more adequate to exhibit some periodic terms confirmed in the case of the sun demi-diameter through another analysis of oneothe authors (Laclare, 1985). Furthermore, the increased accuracy of the estimations in the parameters of the relative solar orbit (Bougeard and al 1983) shows that this method is relevant.

FIS