scholarly journals On the predictability of ice avalanches

2005 ◽  
Vol 12 (6) ◽  
pp. 849-861 ◽  
Author(s):  
A. Pralong ◽  
C. Birrer ◽  
W. A. Stahel ◽  
M. Funk
Keyword(s):  
Power Law ◽  
Time Window ◽  
Regression Method ◽  
Linear Regression Method ◽  
Time Singularity ◽  
Periodic Oscillations ◽  
Power Law Function ◽  
Spatially Homogeneous ◽  
Finite Time Singularity ◽  
Time Of Failure

Abstract. The velocity of unstable large ice masses from hanging glaciers increases as a power-law function of time prior to failure. This characteristic acceleration presents a finite-time singularity at the theoretical time of failure and can be used to forecast the time of glacier collapse. However, the non-linearity of the power-law function makes the prediction difficult. The effects of the non-linearity on the predictability of a failure are analyzed using a non-linear regression method. Predictability strongly depends on the time window when the measurements are performed. Log-periodic oscillations have been observed to be superimposed on the motion of large unstable ice masses. The value of their amplitude, frequency and phase are observed to be spatially homogeneous over the whole unstable ice mass. Inclusion of a respective term in the function describing the acceleration of unstable ice masses greatly increases the accuracy of the prediction.

scholarly journals Evidence of log-periodic oscillations and increasing icequake activity during the breaking-off of large ice masses

2008 ◽  
Vol 54 (187) ◽  
pp. 725-737 ◽  
Author(s):  
Jérome Faillettaz ◽  
Antoine Pralong ◽  
Martin Funk ◽  
Nicholas Deichmann
Keyword(s):  
Snow Avalanches ◽  
Velocity Measurements ◽  
Time Singularity ◽  
Periodic Oscillations ◽  
Physical Mechanisms ◽  
Naturally Occurring ◽  
Combined Motion ◽  
Power Law Function ◽  
Finite Time Singularity ◽  
First Time

AbstractIn 1973, surface velocities were measured for the first time on an unstable hanging glacier to predict its collapse. The observed velocities have been shown to increase as a power-law function of time up to infinity at the theoretical time of failure (known as ‘finite time singularity’). This is the characteristic signature of critical phenomena and has been observed in the case of various other naturally occurring ruptures such as earthquakes, landslides and snow avalanches. Recent velocity measurements performed on Weisshorn and Mönch hanging glaciers, Switzerland, confirmed this behaviour, while log-periodic oscillations superimposed on this general acceleration were also detected. Despite different rupture mechanisms in both cases, the log frequency of the oscillations is shown to be the same. The seismic activity was recorded near the unstable Weisshorn hanging glacier, simultaneously with the velocity measurements. Results show dramatically increasing icequake activity 3 days before the final collapse. Combined motion–seismic monitoring seems to be a promising way to accurately predict the breaking-off of hanging glaciers. Such a combined analysis is also useful for capturing the physical mechanisms of rupture in natural heterogeneous materials.

Rainfall Prediction in South-Eastern Part of Bangladesh by Linear Regression Method

2018 ◽  
Vol 6 (6) ◽  
pp. 119
Author(s):  
Mohammad Shohidul Islam ◽  
Sultana Easmin Siddika ◽  
S M Injamamul Haque Masum
Keyword(s):  
Linear Regression ◽  
Correlation Coefficients ◽  
Rain Gauge ◽  
Regression Method ◽  
Linear Regression Method ◽  
Climate Data ◽  
Rainfall Forecasting ◽  
Statistical Parameters ◽  
Time Duration ◽  
Rainfall Prediction

Rainfall forecasting is very challenging task for the meteorologists. Over the last few decades, several models have been utilized, attempting the successful analysing and forecasting of rainfall. Recorded climate data can play an important role in this regard. Long-time duration of recorded data can be able to provide better advancement of rainfall forecasting. This paper presents the utilization of statistical techniques, particularly linear regression method for modelling the rainfall prediction over Bangladesh. The rainfall data for a period of 11 years was obtained from Bangladesh Meteorological department (BMD), Dhaka i.e. that was surface-based rain gauge rainfall which was acquired from 08 weather stations over Bangladesh for the years of 2001-2011. The monthly and yearly rainfall was determined. In order to assess the accuracy of it some statistical parameters such as average, meridian, correlation coefficients and standard deviation were determined for all stations. The model prediction of rainfall was compared with true rainfall which was collected from rain gauge of different stations and it was found that the model rainfall prediction has given good results.

ANALISIS PENGARUH AGENCY COST TERHADAP DIVIDEND PAYOUT RATIO (Pada Perusahaan Manufaktur di Bursa Efek Indonesia Tahun 2010-2011)

2013 ◽  
Author(s):  
Raudhatul Hidayah
Keyword(s):  
Firm Size ◽  
Sampling Method ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Institutional Ownership ◽  
Agency Cost ◽  
Regression Method ◽  
Linear Regression Method ◽  
Dividend Payout ◽  
Multiple Linear Regression Method

The main purpose of the research was to know partially the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010–2011 period. The other purpose is to know simultaneously the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010–2011 period. The population of this research was all the firms that listed at Indonesia Stock Exchange of 2010-2011 period namely, 136 in number. The sample, 27 firms, was taken by the use of purposive sampling method. The technique of data collection used was documentation.  The data analysis made use of multiple linear regression method. The results showed that partially institutional ownership had a positive and significant effect to dividend policy. Collateralizable assets, debt to total assets and firm size partially was not significant to dividend policy. Simultaneously institutional ownership, collateralizable assets, debt to total assets and firm size had a positive and significant effect to dividend payout ratio.

ANALISIS PENGARUH AGENCY COST TERHADAP DIVIDEND PAYOUT RATIO (Pada Perusahaan Manufaktur di Bursa Efek Indonesia Tabun 2010-2011)

2013 ◽  
Author(s):  
Raudhatul Hidayah
Keyword(s):  
Firm Size ◽  
Sampling Method ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Institutional Ownership ◽  
Agency Cost ◽  
Regression Method ◽  
Linear Regression Method ◽  
Dividend Payout ◽  
Multiple Linear Regression Method

The main purpose of the research was to know partially the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010-2011 period. The other purpose is to know simultaneously the influence of institutional ownership, collateralizable assets, debt to total assets and firm size on dividend payout ratio in firms that listed at Indonesia Stock Exchange of 2010-2011 period. The population of this research was all the firms that listed at Indonesia Stock Exchange of 2010-2011 period namely, 136 in number. The sample, 27 firms, was taken by the use of purposive sampling method. The technique of data collection used was documentation. The data analysis made use of multiple linear regression method. The results showed that partially institutional ownership had a positive and significant effect to dividend policy. Collateralizable assets, debt to total assets and firm size partially was not significant to dividend policy. Simultaneously institutional ownership, collateralizable assets, debt to total assets and firm size had a positive and significant effect to dividend payout ratio.

An alternative model of the vibronic coupling in octahedral complexes

1988 ◽  
Vol 53 (6) ◽  
pp. 1134-1140
Author(s):  
Martin Breza ◽  
Peter Pelikán
Keyword(s):  
Linear Regression ◽  
Alternative Model ◽  
Potential Surface ◽  
Analytical Formula ◽  
Coupling Model ◽  
Regression Method ◽  
Vibronic Coupling ◽  
Linear Regression Method ◽  
Active Systems ◽  
Jahn Teller

It is suggested that for some transition metal hexahalo complexes, the Eg-(a1g + eg) vibronic coupling model is better suited than the classical T2g-(a1g + eg) model. For the former, alternative model, the potential constants in the analytical formula are evaluated from the numerical map of the adiabatic potential surface by using the linear regression method. The numerical values for 29 hexahalo complexes of the 1st row transition metals are obtained by the CNDO/2 method. Some interesting trends of parameters of such Jahn-Teller-active systems are disclosed.

scholarly journals Searching for energy-resolved quasi-periodic oscillations in AGN

2021 ◽  
Author(s):  
Dominic I Ashton ◽  
Matthew J Middleton
Keyword(s):  
Power Law ◽  
Spectral Component ◽  
Broad Band ◽  
Initial Study ◽  
Periodic Oscillations ◽  
Single Observation ◽  
Curved Space ◽  
Multiple Observations ◽  
Band Noise ◽  
The Impact

Abstract X-ray quasi-periodic oscillations (QPOs) in AGN allow us to probe and understand the nature of accretion in highly curved space-time, yet the most robust form of detection (i.e. repeat detections over multiple observations) has been limited to a single source to-date, with only tentative claims of single observation detections in several others. The association of those established AGN QPOs with a specific spectral component has motivated us to search the XMM-Newton archive and analyse the energy-resolved lightcurves of 38 bright AGN. We apply a conservative false alarm testing routine folding in the uncertainty and covariance of the underlying broad-band noise. We also explore the impact of red-noise leak and the assumption of various different forms (power-law, broken power-law and lorentzians) for the underlying broad-band noise. In this initial study, we report QPO candidates in 6 AGN (7 including one tentative detection in MRK 766) from our sample of 38, which tend to be found at characteristic energies and, in four cases, at the same frequency across at least two observations, indicating they are highly unlikely to be spurious in nature.

The Accuracy Assessment of Weapon System Using Grey Linear Regression Method

2012 ◽  
Vol 268-270 ◽  
pp. 1809-1813
Author(s):  
Dai Yu Zhang ◽  
Bao Wei Song ◽  
Zhou Quan Zhu
Keyword(s):  
Linear Regression ◽  
Fuzzy Theory ◽  
Accuracy Assessment ◽  
Regression Method ◽  
Small Sample ◽  
Easy Access ◽  
Linear Regression Method ◽  
Grey Theory ◽  
Weapon System ◽  
Complex Engineering

The accuracy assessment of weapon system is always a complex engineering. How to make the most of the information given in only a few tests and obtain reasonable estimate is always a problem. Based on the fuzzy theory and grey theory, a grey linear regression method is presented. From the numerical example, we can see that this method provides an easy access to deal with data in small sample case and may have potential use in the analysis of weapon performance.

Perancangan Aplikasi Prediksi Jumlah Pendaftar Siswa Baru Dengan Metode Regresi Linier (Studi Kasus: SMA RK Deli Murni Bandar Baru)

2020 ◽  
Vol 3 (3) ◽  
pp. 330-334
Author(s):  
Novita Ria Lase ◽  
Fristi Riandari
Keyword(s):  
Linear Regression ◽  
Regression Method ◽  
Point Of View ◽  
Computational Techniques ◽  
Linear Regression Method ◽  
Simple Linear Regression ◽  
Tuition Fees ◽  
Use Of Data ◽  
New Students ◽  
New Student

The problem of the SMA RK Deli Murni Bandar Baru school is to predict how many facilities that need to be provided for new students such as chairs, tables and others. This study discusses the prediction of the number of new student registrants at SMA RK Deli Murni Bandar Baru based on the amount of tuition fees using a simple linear regression method. From a commercial point of view, the use of data mining can be used to handle the explosion of data volumes, using computational techniques can be used to produce information needed which is an asset that can increase the competitiveness of an institution. Prediction is almost the same as classification and estimation, except that in the prediction the value of the results will be in the future. This system can be used to predict the number of applicants in the following year to help the school. The advantage is that this simple linear regression method is very simple so that it is easy to calculate and use. Saves the time needed to solve problems, especially those that are very complex.

An application of QSRR approach and multiple linear regression method for lipophilicity assessment of flavonoids

2019 ◽  
Vol 164 ◽  
pp. 681-689 ◽  
Author(s):  
Mariusz Zapadka ◽  
Mateusz Kaczmarek ◽  
Bogumiła Kupcewicz ◽  
Przemysław Dekowski ◽  
Agata Walkowiak ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Method ◽  
Linear Regression Method ◽  
Multiple Linear Regression Method
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