scholarly journals Literasi Keuangan Dimasa Pandemi Covid 19 (FLC19) dan Pengaruhnya Terhadap Siklus Keuangan Di Indonesia

POINT ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 21-33
Author(s):  
Edwin Basmar ◽  
Hasdiana S
Keyword(s):  
Time Series ◽  
Data Bank

Literasi keuangan dan Pandemi Covid 19 merupakan dua kondisi yang saling bertentangan, sehingga memberikan pengaruh pada pergerakan siklus keuangan di Indonesia, proses pengukuran tekanan literasi keuangan di masa Pandemi Covid 19 (FLC19) ini, dilakukan dengan menggunakan data Bank Indonesia selama priode Pandemi Covid 19 (2019 - 2021) secara time series, dengan menggunakan model pengembangan Ed Waves Index, hasil penelitian ini menemukan bahwa, untuk tipe tekanan literasi keuangan positif (FLC19+) bertekanan 0.015 Amplitudo yang menandakan adanya pertumbuhan perekonomian, sementara untuk tipe tekanan literasi keuangan negatif (FLC19-) bertekanan -0.024 Amplitudo yang menandakan ketidakstabilan keuangan dalam perekonomian Indonesia selama Pandemi Covid 19.

scholarly journals MOTEDAS Century database, Part 1: temperature evolution in Spanish Mainland (1916-2015).

2020 ◽  
Author(s):  
Dhais Peña-Angulo ◽  
Leire Sandonís-Pozo ◽  
Michele Brunetti ◽  
Santiago Beguería ◽  
José Carlos Gonzalez-Hidalgo
Keyword(s):  
Time Series ◽  
Data Bank ◽  
Angular Distance ◽  
Temperature Series ◽  
Spatial Density ◽  
Climate Data ◽  
Present Contribution ◽  
Weighting Method ◽  
Global Pattern ◽  
Mean Temperature

<p>We have finished the complete digitalization of Annual Books from the Spanish meteorological service (AEMET) between 1916 to 1949. Data retrieved included monthly means of maximum and minimum temperature. In the present contribution we are going to show the new MOTEDAS_Century dataset (MOnthly TEmperature Dataset of Spain century) which has been performed matching data from the annual books and data from the national climate data bank of AEMET. The amount of stations with temperature data vary from a minimum of 228 (1938) and 2.030 (1994). This length of the time series is sometimes very short. Since we aim to analyse the information with a highest spatial density as possible we decided, instead of reconstructing series, to reconstruct monthly fields independently by using all the information available month to month between 1916 and 2015. Monthly interpolated data were converted to a high-resolution grid (10x10 km) using the Angular Distance Weighting method, resulting into a 5000 pixels grid.</p><p> </p><p>The time series of annual mean temperature in Spanish mainland from 1916 to 2015 shows the well-known pattern of increase during the first decades, a slowdown in the middle of the 20<sup>th</sup> century, and the final rise since the 1970´s, including a final stage without significant trend for the last three decades.</p><p> </p><p>MOTEDAS_Century´s annual temperature average series has been compared with other analogous series from BEST (Berkelay Earth Surface Temperature) and SDAT (Spanish Daily Adjusted Temperature Series) datasets, as well as the twentieth century reanalysis for the Iberian Peninsula. The different versions resemble the global pattern, although differences exist particularly during the last three decades. The comparison of the annual mean temperature series with their counterparts in the BEST, AEMET and SDAT databases suggests that processing the newly retrieved information does not modify the behaviour patterns of mean annual temperatures in the Spanish mainland, and that the difference observed among the various sources can be attributed to a combination of effects from the different number of weather stations examined, which is very much higher in MOTEDAS_century, to the local characteristics of stations. The MOTEDAS_century grid in the anomalies format is available on request from the authors and will be in future on the website of the CLICES Project (http://clices.unizar.es).</p>

scholarly journals SPA SERVICES DISTRIBUTION AND SPECIALIZATION IN KUJAWSKO-POMORSKIE, POMORSKIE AND PODKARPACKIE VOIVODESHIPS COMMUNES

Turyzm ◽  
2017 ◽  
Vol 27 (1) ◽  
pp. 57-63
Author(s):  
Paweł Stelmach
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Functional Relationship ◽  
Data Bank ◽  
Data Sets ◽  
Local Data ◽  
Correlation And Regression Analysis ◽  
Central Statistical ◽  
Central Statistical Office ◽  
The Relationship

Abstract The objective of the article is to identify and explain the relationship between spa services distribution and spa specialization in Kujawsko-Pomorskie, Pomorskie and Podkarpackie Voivodeships spa communes. Correlation and regression analysis were used based on data from the Local Data Bank and unpublished data sets from the Central Statistical Office of Poland. In order to explain the relation between spa services distribution and spa specialization, time-series analysis was used. In five of nine researched communes (Horyniec-Zdrój, Solina, Ustka, Ciechocinek and Inowrocław) there is a functional relationship between spa services distribution and spa specialization.

Forecasting missing data in time series with the application of hybrid models – theoretical and empirical approach

2020 ◽  
Vol 65 (10) ◽  
pp. 24-48
Author(s):  
Jan Zawadzki
Keyword(s):  
Time Series ◽  
Applied Mathematics ◽  
Data Bank ◽  
Hybrid Models ◽  
Seasonal Fluctuations ◽  
University Of Technology ◽  
Hourly Data ◽  
Daily Cycles ◽  
Distribution Company ◽  
Theoretical Considerations

The main goal of the article is to present the possibilities of forecasting missing observations in time series for hourly data with the application of hybrid models. Hybrid time series models and regression models with complex seasonal fluctuations were used in the study. Complex fluctuations for hourly data can be either a sum or a product of fluctuations of annual, weekly and daily cycles, while fluctuations the length of a cycle expressed by an even number (12-month and 24-hour ones) can be described using regular hierarchical models. The theoretical considerations were illustrated by an empirical analysis of the demand for electricity in hourly periods in a selected agglomeration. The statistical data covered three consecutive years of the first decade of the 2000s. The data were provided by an electricity distribution company and included in the Data Bank of the Department of Applied Mathematics in Economics of the West Pomeranian University of Technology in Szczecin. It was assumed that non-systematic gaps occur with regard to all types of seasonal fluctuations. The obtained results indicate the usefulness of hybrid models in forecasting economic phenomena subject to very frequent observations.

scholarly journals Method for calculating loads combination on a building using information measures

2018 ◽  
Vol 212 ◽  
pp. 01033
Author(s):  
Elena Chernetsova ◽  
Anatoly Shishkin
Keyword(s):  
Time Series ◽  
Error Probability ◽  
A Priori ◽  
Monitoring Network ◽  
Physical Nature ◽  
Data Bank ◽  
Information Measure ◽  
Wireless Monitoring ◽  
Information Measures ◽  
Definition Of

A method for calculating loads combination on a building is considered using information measures of the connectivity of signals received from sensors of various physical nature, united in a wireless monitoring network. The method includes the definition of the most powerful information measure on the ensemble of process realizations with known a priori load data by the criterion of connectedness of time series. Then, based on the selected information measure, the connectivity of the signals for the ensemble of realizations of the random process of loads to the building from the network formed by the wireless monitoring data bank of time series is calculated. The volume of the data bank sufficient to make the correct decision about the combination of loads on the building with a predetermined error probability is calculated on the basis of a consistent criterion for the ratio of Wald probabilities. This method is easily algorithmized and can be used to develop an automated decision support system.

scholarly journals Spa service distribution and specialisation in kujawsko-pomorskie, pomorskie and podkarpackie voivodship communes

Turyzm ◽  
2017 ◽  
Vol 27 (1) ◽  
pp. 57-63
Author(s):  
Paweł Stelmach
Keyword(s):  
Time Series ◽  
Functional Relationship ◽  
Data Bank ◽  
Data Sets ◽  
Local Data ◽  
Correlation And Regression Analysis ◽  
Service Distribution ◽  
Central Statistical ◽  
Central Statistical Office ◽  
The Relationship

The objective of the article is to identify and explain the relationship between spa services distribution and spa specialization in Kujawsko-Pomorskie, Pomorskie and Podkarpackie Voivodeships spa communes. Correlation and regression analysis were used based on data from the Local Data Bank and unpublished data sets from the Central Statistical Office of Poland. In order to explain the relation between spa services distribution and spa specialization, time-series analysis was used. In five of nine researched communes (Horyniec-Zdrój, Solina, Ustka, Ciechocinek and Inowrocław) there is a functional relationship between spa services distribution and spa specialization.

scholarly journals Limitations of wind power availability over Europe: a conceptual study

2008 ◽  
Vol 15 (6) ◽  
pp. 803-813 ◽  
Author(s):  
P. Kiss ◽  
I. M. Jánosi
Keyword(s):  
Time Series ◽  
Wind Speed ◽  
Wind Power ◽  
Wind Field ◽  
Dynamic Control ◽  
Data Bank ◽  
Spatial Correlations ◽  
Electric Networks ◽  
Average Value ◽  
Wind Power Integration

Abstract. Wind field statistics are evaluated from the ERA-40 data bank covering a period of 44 years with a temporal resolution of 6 h. Instantaneous wind speed values are provided in geographic cells of size 1°×1° (lat/long) for surface (10 m) and 1000 hPa pressure heights. Potential wind power generation is estimated in two steps. Firstly, the wind speed at hub height is approximated from surface data based on the statistical analysis of the wind and geopotential records for 1000 hPa pressure level. Secondly, the wind speed values are transformed by an idealised power curve fitted for measured data. The model time series are fed into various hypothetical electric networks. The main quantity of interest is the aggregated output from the networks. A reference power time series is determined for a static network connecting each continental site and an envelope of 1° around the shorelines (representing off-shore locations) over Europe. This time series exhibits a low average value and a marked annual periodicity. Wind power integration over limited areas results in higher average outputs at the expense of stronger fluctuations. The long-range spatial correlations of the wind field limit the level of fluctuations strongly which can not be eliminated either by an increase of the area of integration or by dynamic control. This study is fully conceptual, however it demonstrates the limitations of wind power integration over Europe.

scholarly journals MOTEDAS Century Database, Part 2: spatial variation of temperature trends: the UP-TO-DATE effect.

2020 ◽  
Author(s):  
Leire Sandonis ◽  
Dhais Peña-Angulo ◽  
michele Bruneti ◽  
Santiago Beguería ◽  
José Carlos Gonzalez-Hidalgo
Keyword(s):  
Time Series ◽  
Data Bank ◽  
Angular Distance ◽  
Temperature Series ◽  
Spatial Density ◽  
Climate Data ◽  
Present Contribution ◽  
Weighting Method ◽  
Global Pattern ◽  
Mean Temperature

<p>We have finished the complete digitalization of Annual Books from the Spanish meteorological service (AEMET) between 1916 to 1949. Data retrieved included monthly means of maximum and minimum temperature. In the present contribution we are going to show the new MOTEDAS_Century dataset (MOnthly TEmperature Dataset of Spain century) which has been performed matching data from the annual books and data from the national climate data bank of AEMET. The amount of stations with temperature data vary from a minimum of 228 (1938) and 2.030 (1994). This length of the time series is sometimes very short. Since we aim to analyse the information with a highest spatial density as possible we decided, instead of reconstructing series, to reconstruct monthly fields independently by using all the information available month to month between 1916 and 2015. Monthly interpolated data were converted to a high-resolution grid (10x10 km) using the Angular Distance Weighting method, resulting into a 5000 pixels grid.</p><p>The time series of annual mean temperature in Spanish mainland from 1916 to 2015 shows the well-known pattern of increase during the first decades, a slowdown in the middle of the 20<sup>th</sup> century, and the final rise since the 1970´s, including a final stage without significant trend for the last three decades.</p><p>MOTEDAS_Century´s annual temperature average series has been compared with other analogous series from BEST (Berkelay Earth Surface Temperature) and SDAT (Spanish Daily Adjusted Temperature Series) datasets, as well as the twentieth century reanalysis for the Iberian Peninsula. The different versions resemble the global pattern, although differences exist particularly during the last three decades. The comparison of the annual mean temperature series with their counterparts in the BEST, AEMET and SDAT databases suggests that processing the newly retrieved information does not modify the behaviour patterns of mean annual temperatures in the Spanish mainland, and that the difference observed among the various sources can be attributed to a combination of effects from the different number of weather stations examined, which is very much higher in MOTEDAS_century, to the local characteristics of stations. The MOTEDAS_century grid in the anomalies format is available on request from the authors and will be in future on the website of the CLICES Project (http://clices.unizar.es).</p>

The LDE-Type Flare Occurrence (1969-1993)

1994 ◽  
Vol 144 ◽  
pp. 279-282
Author(s):  
A. Antalová
Keyword(s):  
Time Series ◽  
Fourier Analysis ◽  
Sunspot Cycle ◽  
List Type ◽  
Type Number ◽  
Solar Cycles ◽  
Type Iv ◽  
Long Duration ◽  
Cycle Maximum ◽  
Flare Index

AbstractThe occurrence of LDE-type flares in the last three cycles has been investigated. The Fourier analysis spectrum was calculated for the time series of the LDE-type flare occurrence during the 20-th, the 21-st and the rising part of the 22-nd cycle. LDE-type flares (Long Duration Events in SXR) are associated with the interplanetary protons (SEP and STIP as well), energized coronal archs and radio type IV emission. Generally, in all the cycles considered, LDE-type flares mainly originated during a 6-year interval of the respective cycle (2 years before and 4 years after the sunspot cycle maximum). The following significant periodicities were found:• in the 20-th cycle: 1.4, 2.1, 2.9, 4.0, 10.7 and 54.2 of month,• in the 21-st cycle: 1.2, 1.6, 2.8, 4.9, 7.8 and 44.5 of month,• in the 22-nd cycle, till March 1992: 1.4, 1.8, 2.4, 7.2, 8.7, 11.8 and 29.1 of month,• in all interval (1969-1992):a)the longer periodicities: 232.1, 121.1 (the dominant at 10.1 of year), 80.7, 61.9 and 25.6 of month,b)the shorter periodicities: 4.7, 5.0, 6.8, 7.9, 9.1, 15.8 and 20.4 of month.Fourier analysis of the LDE-type flare index (FI) yields significant peaks at 2.3 - 2.9 months and 4.2 - 4.9 months. These short periodicities correspond remarkably in the all three last solar cycles. The larger periodicities are different in respective cycles.

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