Statistical Analysis of Seasonal Effect on Freight Train Derailments

2021 ◽  
Vol 147 (10) ◽  
pp. 04021073
Author(s):  
Zhipeng Zhang ◽  
Xiang Liu ◽  
Hao Hu
Keyword(s):  
Statistical Analysis ◽  
Seasonal Effect ◽  
Freight Train

Electrojet poleward boundary variations with IMF By and season

2021 ◽  
Author(s):  
Simon Walker ◽  
Margot Decotte ◽  
Karl Laundal ◽  
Jone Reistad ◽  
Anders Ohma ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Current Density ◽  
Seasonal Effect ◽  
Precipitation Data ◽  
Ionospheric Currents ◽  
Sheet Current ◽  
Modelling Techniques ◽  
Divergence Free ◽  
Magnetic Meridian ◽  
Lobe Reconnection

<p>By utilising measurements from twenty ground magnetometer stations in Fennoscandia, divergence-free ionospheric currents above this region are modelled using spherical elementary currents (SECS). New modelling techniques are implemented that coerce the model to find a solution that resembles the resolvable ionospheric currents. The divergence-free currents are evaluated along the 105<sup>o</sup> magnetic meridian covering a period of almost 20 years with a resolution of 1 minute, as a result of the magnetometers chosen. From these sheet current density latitude profiles, the boundaries of the auroral electrojet are identified. After performing a large statistical analysis it is found that there is a significant IMF B<sub>y</sub> effect on the poleward boundary of the electrojets during the Summer but not during the Winter. We suggest that this seasonal effect can be attributed to the effects of lobe reconnection on the extent of currents in the auroral electrojets. Further work is done to compare the SECS derived electrojet boundaries with particle precipitation data from low orbit satellites.</p>

scholarly journals Seasonal Variations of Temperature, Salinity and Turbidity of the Lembeh Strait’s waters, North Sulawesi

2020 ◽  
Vol 8 (1) ◽  
pp. 110
Author(s):  
Simon I. Patty ◽  
Rikardo Huwae ◽  
Ferdimon Kainama
Keyword(s):  
Statistical Analysis ◽  
Seasonal Variations ◽  
Sea Water ◽  
External Factors ◽  
Seasonal Effect ◽  
North Sulawesi ◽  
Lembeh Strait

Research on seasonal variations of temperature, salinity and turbidity of the Lembeh Strait’s waters were carried out in March 2016 to February 2017. Observations of temperature, salinity and turbidity were conducted using the Sonde EXO-2 multi parameter tool. The purpose of this study was to determine the seasonal effect on temperature, salinity and turbidity Lembeh Strait’s water. The results of the statistical analysis using ANOVA and Tuckey's test showed that the season affected the salinity and temperature, whereas no significant effect were observed on turbidity. Variations in temperature, salinity and turbidity are affected by external factors such as weather, wind and seasonal current patterns occurred in these waters. The conditions of temperature, salinity and turbidity of sea water in Lembeh Strait are still adequate for marine life.Keywords: temperature, salinity, turbidity, oceanography, Lembeh Strait

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

Intraindividual Variability in Development Within and Between Individuals

2001 ◽  
Vol 6 (3) ◽  
pp. 187-193 ◽  
Author(s):  
John R. Nesselroade
Keyword(s):  
Statistical Analysis ◽  
Research Design ◽  
Intraindividual Variability ◽  
Factor Analytic

A focus on the study of development and other kinds of changes in the whole individual has been one of the hallmarks of research by Magnusson and his colleagues. A number of different approaches emphasize this individual focus in their respective ways. This presentation focuses on intraindividual variability stemming from Cattell's P-technique factor analytic proposals, making several refinements to make it more tractable from a research design standpoint and more appropriate from a statistical analysis perspective. The associated methods make it possible to study intraindividual variability both within and between individuals. An empirical example is used to illustrate the procedure.

Review of Basic FORTRAN for Statistical Analysis.

1967 ◽  
Vol 12 (9) ◽  
pp. 467-467
Author(s):  
JOHN C. LOEHLIN
Keyword(s):  
Statistical Analysis
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