Analysis of Vibrations of an Oscillator Using Statistical Series

2018 ◽  
pp. 261-270
Author(s):  
Ozga Agnieszka
Keyword(s):  
Statistical Series

Children in Custody: 20-Year Trends in Juvenile Detention, Correctional, and Shelter Facilities

1998 ◽  
Vol 44 (4) ◽  
pp. 526-543 ◽  
Author(s):  
Bradford Smith
Keyword(s):  
At Risk ◽  
Violent Offenders ◽  
Juvenile Detention ◽  
Correctional Facilities ◽  
Residential Placement ◽  
Statistical Series ◽  
Juvenile Population ◽  
Juvenile Correctional Facilities ◽  
Using Data

Using data drawn from the Children in Custody (CIC) statistical series, this article presents 20-year trends (1) in the number and characteristics of juvenile correctional facilities, (2) in the number and characteristics of youth held in juvenile correctional facilities, and (3) in the costs of confinement of youth held in juvenile correctional facilities. A brief history and some of the limitations of the CIC data are presented. The new Census of Juveniles in Residential Placement that replaced CIC in 1997 is briefly described. The article concludes that, even after controlling for the size of the at-risk juvenile population and inflation, there were more juveniles, more males, more minorities, and more violent offenders in more crowded, secure, and costly juvenile correctional facilities in 1995 than there were in the preceding years.

Statistical relationships between the rule-making activity of state bodies in Russia

2021 ◽  
pp. 3-28
Author(s):  
Pavel Pavlov
Keyword(s):  
Granger Causality ◽  
Econometric Analysis ◽  
Regulatory Framework ◽  
Statistical Series ◽  
Federal Laws ◽  
Statistical Relationships ◽  
The Relationship ◽  
Rule Making ◽  
Overlapping Sets

The article provides the analysis of the relationship between the rule-making activity of Russia’s state authorities: parliament, president, government and federal executive bodies. The analysis of Granger causality, carried out for statistical series of federal authorities rulemaking activity, indicates that the level of laws specification largely determines the level of by-laws specification (government decrees and orders of federal executive bodies), thereby exerting a significant impact on entire Russian regulatory framework volume. Econometric analysis based on a corpus of federal laws and aggregated corpus of regulations shows that the entire rule-making activity of the Russian parliament and federal authorities is explained by overlapping sets of factors. The findings indicate that to consolidate the effect of the “regulatory guillotine” it may be useful to develop mechanisms (procedural rules) that correct the balance between the pace and quality of developing legislative initiatives.

scholarly journals Forecasting the Inequality of Income Distribution in Consequence of the Covid-19 Pandemic

2021 ◽  
Vol 19 (1) ◽  
pp. 27-38
Author(s):  
Suparmono Suparmono ◽  
Anna Partina
Keyword(s):  
Income Inequality ◽  
Agricultural Sector ◽  
Linear Trend ◽  
Transportation Services ◽  
Statistical Series ◽  
Forecast Result ◽  
Result Show ◽  
Data Source ◽  
Social Safety Nets ◽  
Series Book

This study aims to forecasting the Covid-19 Pandemic's effect on income inequality distribution in Kulon-Progo Regency during of 2020 to 2028. The study analysis tools utilized forecast are linear and non-linear trend. The historical data use during of 2010 to 2019, data source obtained from Central Bureau of Statistics Yogyakarta in statistical series book of 2020. The findings of forecast result show that the Covid-19 pandemic directly impact on the increased income inequality distribution. The implication is to carry out the process of economic recovery due to the Covid-19 pandemic case by identifying community groups who are vulnerable to decreased income through strengthening social safety nets. In addition, government policies can also optimize the utilization and transportation services to increase farmer exchange rates, because most people work in the agricultural sector.

scholarly journals REB’s statistical series: surveys of agricultural enterprises

2019 ◽  
pp. 56-60
Author(s):  
S. Aukutsionek ◽  
◽  
A. Batyaeva ◽  
N. Dyomina ◽  
A. Egorov ◽  
...  
Keyword(s):  
Agricultural Enterprises ◽  
Statistical Series

scholarly journals REB’s statistical series: surveys of agricultural enterprises

2019 ◽  
pp. 61-65
Author(s):  
S. Aukutsionek ◽  
◽  
A. Batyaeva ◽  
N. Dyomina ◽  
A. Egorov ◽  
...  
Keyword(s):  
Agricultural Enterprises ◽  
Statistical Series

scholarly journals The development of small business as a source of formation of local budget revenues in Ukraine

2018 ◽  
Vol 15 (1) ◽  
pp. 132-140 ◽  
Author(s):  
Olha Hryhorash ◽  
Maxim Korneyev ◽  
Yevgeny Leheza ◽  
Liliya Zolotukhina ◽  
Tetiana Hryhorash
Keyword(s):  
Regression Analysis ◽  
Small Business ◽  
Business Development ◽  
Sales Volume ◽  
Financial Situation ◽  
Small Business Development ◽  
Correlation And Regression Analysis ◽  
Economic Level ◽  
Statistical Series ◽  
Local Budget

The timeliness of the research is conditioned by the need to analyze the development of small business as an indicator of the development of the middle class, which characterizes the socio-economic level of the country in general and contributes to strengthening its financial situation. The article contains the analysis of the small business development and its influence on the formation of local budget revenues in Ukraine. Based on the correlation and regression analysis, the statistical series of the sales volume of small business was aligned, taking into account changes in the legislation for the criteria for the small business definition in 2008 and in 2012. The correlation between the sales volume of the small business and the local budget revenues of Ukraine is analyzed. In order to evaluate the certainty of the small business development trends and its impact on local budget revenues, the same analysis was done on the basis of the indicators calculated in the currency equivalent.

Classification of Statistical Series

1919 ◽  
Vol 16 (128) ◽  
pp. 533
Author(s):  
Edmund E. Day
Keyword(s):  
Statistical Series
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