scholarly journals A Time-Series Analysis of the 20th Century Climate Simulations Produced for the IPCC’s Fourth Assessment Report

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e60017 ◽  
Author(s):  
Francisco Estrada ◽  
Pierre Perron ◽  
Carlos Gay-García ◽  
Benjamín Martínez-López
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
20Th Century ◽  
Assessment Report ◽  
Series Analysis ◽  
Fourth Assessment Report ◽  
Climate Simulations

scholarly journals Swedish nationwide time series analysis of influenza and suicide deaths from 1910 to 1978

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e049302
Author(s):  
Christian Rück ◽  
David Mataix-Cols ◽  
Kinda Malki ◽  
Mats Adler ◽  
Oskar Flygare ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
20Th Century ◽  
Short Term ◽  
Death Rates ◽  
Men And Women ◽  
Series Analysis ◽  
Suicide Rates ◽  
Relationship Of

ObjectivesThere is concern that the COVID-19 pandemic will be associated with an increase in suicides, but evidence supporting a link between pandemics and suicide is limited. Using data from the three influenza pandemics of the 20th century, we aimed to investigate whether an association exists between influenza deaths and suicide deaths.DesignTime series analysis.SettingSweden.ParticipantsDeaths from influenza and suicides extracted from the Statistical Yearbook of Sweden for 1910–1978, covering three pandemics (the Spanish influenza, the Asian influenza and the Hong Kong influenza).Main outcome measuresAnnual suicide rates in Sweden among the whole population, men and women. Non-linear autoregressive distributed lag models was implemented to explore if there is a short-term and/or long-term relationship of increases and decreases in influenza death rates with suicide rates during 1910–1978.ResultsBetween 1910 and 1978, there was no evidence of either short-term or long-term significant associations between influenza death rates and changes in suicides (β coefficients of 0.00002, p=0.931 and β=0.00103, p=0.764 for short-term relationship of increases and decreases in influenza death rates, respectively, with suicide rates, and β=−0.0002, p=0.998 and β=0.00211, p=0.962 for long-term relationship of increases and decreases in influenza death rates, respectively, with suicide rates). The same pattern emerged in separate analyses for men and women.ConclusionsWe found no evidence of short-term or long-term association between influenza death rates and suicide death rates across three 20th century pandemics.

The Effect of Modernization on Suicide in Finland: 1800–1984

1993 ◽  
Vol 36 (2) ◽  
pp. 137-148 ◽  
Author(s):  
Steven Stack
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
20Th Century ◽  
19Th Century ◽  
Control Variables ◽  
Series Analysis ◽  
Historical Processes ◽  
Percent Increase ◽  
The 19Th Century

Durkheim's theory of suicide stressed the historical processes of modernization in explaining the rise in suicide. Tests of Durkheim's theory have, however, been largely ahistorical. The present study fills this void with a time-series analysis of Finnish historical suicide data. A Cochrane-Orcutt analysis finds that a one percent increase in urbanization is associated with a.19 percent increase in suicide. The results are independent of control variables from alternate perspectives on suicide. Some evidence is found to support Halbwach's “Law of Convergence.” Whereas a one percent increase in modernization increases suicide by .22 percent in the 19th century, this figure drops to .12 percent in the 20th century.

Dynamical Peculiarities of Concatenational Changes in Functional Cardiovascular Parameters

2018 ◽  
Vol 3 (82) ◽  
Author(s):  
Eurelija Venskaitytė ◽  
Jonas Poderys ◽  
Tadas Česnaitis
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Functional State ◽  
The Body ◽  
Functional Changes ◽  
High Intensity Training ◽  
Series Analysis ◽  
Greco Roman ◽  
St Segment ◽  
Standard Lead

Research  background  and  hypothesis.  Traditional  time  series  analysis  techniques,  which  are  also  used  for the analysis of cardiovascular signals, do not reveal the relationship between the  changes in the indices recorded associated with the multiscale and chaotic structure of the tested object, which allows establishing short-and long-term structural and functional changes.Research aim was to reveal the dynamical peculiarities of interactions of cardiovascular system indices while evaluating the functional state of track-and-field athletes and Greco-Roman wrestlers.Research methods. Twenty two subjects participated in the study, their average age of 23.5 ± 1.7 years. During the study standard 12 lead electrocardiograms (ECG) were recorded. The following ECG parameters were used in the study: duration of RR interval taken from the II standard lead, duration of QRS complex, duration of JT interval and amplitude of ST segment taken from the V standard lead.Research  results.  Significant  differences  were  found  between  inter-parametric  connections  of  ST  segment amplitude and JT interval duration at the pre and post-training testing. Observed changes at different hierarchical levels of the body systems revealed inadequate cardiac metabolic processes, leading to changes in the metabolic rate of the myocardium and reflected in the dynamics of all investigated interactions.Discussion and conclusions. It has been found that peculiarities of the interactions of ECG indices interactions show the exposure of the  functional changes in the body at the onset of the workload. The alterations of the functional state of the body and the signs of fatigue, after athletes performed two high intensity training sessions per day, can be assessed using the approach of the evaluation of interactions between functional variables. Therefore the evaluation of the interactions of physiological signals by using time series analysis methods is suitable for the observation of these processes and the functional state of the body.Keywords: electrocardiogram, time series, functional state.

The Contribution of Foreign Direct Investment for Economic Growth of Ethiopia: Time Series Analysis

2018 ◽  
Vol 9 (02) ◽  
Author(s):  
Addissie Melak
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Foreign Direct Investment ◽  
Time Series Analysis ◽  
Direct Investment ◽  
Policy Framework ◽  
Annual Growth Rate ◽  
African Countries ◽  
Series Analysis ◽  
Integration Test

Economic growth of countries is one of the fundamental questions in economics. Most African countries are opening their economies for welcoming of foreign investors. As such Ethiopia, like many African countries took measures to attract and improve foreign direct investment. The purpose of this study is to examine the contribution of foreign direct investment (FDI) for economic growth of Ethiopia over the period of 1981-2013. The study shows an overview of Ethiopian economy and investment environment by the help of descriptive and econometric methods of analysis to establish empirical investigation for the contribution of FDI on Ethiopian economy. OLS method of time series analysis is employed to analyse the data. The stationary of the variables have been checked by using Augmented Dickey Fuller (ADF) Unit Root test and hence they are stationery at first difference. The co- integration test also shows that there is a long run relationship between the dependent and independent variables. Accordingly, the finding of the study shows that FDI, GDP per capita, exchange rate, total investment as percentage of GDP, inflow of FDI stock, trade as percentage of GDP, annual growth rate of GDP and liberalization of the economy have positive impact on Ethiopian GDP. Whereas Gross fixed domestic investment, inflows of FDI and Gross capital formation influence economic growth of Ethiopia negatively. This finding suggests that there should be better policy framework to attract and improve the volume of FDI through creating conducive environment for investment.

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