Statistical Methods for Analyzing and Processing Data Components When Recognizing Visual Objects in the Space of Key Point Descriptors

In some institutions of continuous education in the Republic of Moldova there is no course in Applied Statistics for Teacher taught. Because of this, the graduates encounter some difficulties in processing the experimental data. Through this article, the authors propose suggestions and models for data processing for additional qualification / requalification theses.

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Die Diffusion von Innovationen der Telematik in der Schweiz

Geographica Helvetica ◽

10.5194/gh-40-113-1985 ◽

1985 ◽

Vol 40 (3) ◽

pp. 113-122 ◽

Cited By ~ 1

Author(s):

A. Müdespacher

Keyword(s):

Information Technology ◽

Discriminant Analysis ◽

Data Processing ◽

Diffusion Process ◽

Empirical Evidence ◽

Statistical Methods ◽

Statistical Evaluation ◽

Spatial Factors ◽

Processing Data ◽

New Information

Abstract. This article analyses the reasons for the spatial variations in the diffusion process of innovations of the new information technology. A model of the diffusion process is developped in which hypotheses from well-known economic and geographical research have been integrated and combined with hypotheses which have been derived from the peculiarities of the examined innovations. The model is tested with Statistical methods such as discriminant analysis. Statistical evaluation of three different innovations (electronic data processing, data processing by means of telecommunications and facsimile machines shows empirical evidence for several hypotheses though the estimated functions are only moderatly correlated with the explained variables. The most important variables of the decision to adopt the new information technology by firms are the size of plants and a high Proportion of routine information activities. Spatial factors have much less influence but may prove statistically significant.

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Statistics and parallaxes

International Astronomical Union Colloquium ◽

10.1017/s0252921100073875 ◽

1978 ◽

Vol 48 ◽

pp. 7-29

Author(s):

T. E. Lutz

Keyword(s):

Experimental Design ◽

Statistical Methods ◽

Review Paper ◽

Systematic Errors ◽

Past Experience ◽

Random Errors ◽

Trigonometric Parallaxes ◽

Systematic And Random Errors

This review paper deals with the use of statistical methods to evaluate systematic and random errors associated with trigonometric parallaxes. First, systematic errors which arise when using trigonometric parallaxes to calibrate luminosity systems are discussed. Next, determination of the external errors of parallax measurement are reviewed. Observatory corrections are discussed. Schilt’s point, that as the causes of these systematic differences between observatories are not known the computed corrections can not be applied appropriately, is emphasized. However, modern parallax work is sufficiently accurate that it is necessary to determine observatory corrections if full use is to be made of the potential precision of the data. To this end, it is suggested that a prior experimental design is required. Past experience has shown that accidental overlap of observing programs will not suffice to determine observatory corrections which are meaningful.

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