scholarly journals PENGARUH PENGANGGURAN TERHADAP KEMISKINAN DI KABUPATEN BANGKA TAHUN 2009-2018

2021 ◽  
Vol 3 (2) ◽  
pp. 23
Author(s):  
Gebila Gebila ◽  
Ayu Wulandari
Keyword(s):  
Times Series

Penelitian ini bertujuan untuk mengetahui pengaruh pengangguran terhadap kemiskinan di Kabupaten Bangka Tahun  2009-2018. Variabel dependen dalam penelitian ini adalah kemiskinan dan variabel Independen adalah pengangguran. Penelitian ini menggunakan pendekatan kuantitatif. Data yang digunakan adalah data Times Series dari Tahun 2009 sampai Tahun 2018 di Kabupaten Bangka. Teknik Analisis data dalam penelitian ini menggunakan analisis regresi linier sederhana. Hasil penelitian  menunjukkan  bahwa pengangguran tidak berpengaruh terhadap kemiskinan di Kabupaten Bangka.   Kata Kunci :  Penganguran, Kemiskinan, Kabupaten Bangka

scholarly journals Follow-up of the air pollution and the human male-to-female ratio analysis in São Paulo, Brazil: a times series study

BMJ Open ◽  
2013 ◽  
Vol 3 (7) ◽  
pp. e002552 ◽  
Author(s):  
Simone Georges El Khouri Miraglia ◽  
Mariana Matera Veras ◽  
Luis Fernando Amato-Lourenço ◽  
Fernando Rodrigues-Silva ◽  
Paulo Hilário Nascimento Saldiva
Keyword(s):  
Air Pollution ◽  
Sao Paulo ◽  
Ratio Analysis ◽  
São Paulo ◽  
Female Ratio ◽  
Times Series ◽  
Human Male ◽  
Male To Female ◽  
Series Study

Impact of the Centers for Medicare and Medicaid Services Hospital-Acquired Conditions Policy on Billing Rates for 2 Targeted Healthcare-Associated Infections

2015 ◽  
Vol 36 (8) ◽  
pp. 871-877 ◽  
Author(s):  
Alison Tse Kawai ◽  
Michael S. Calderwood ◽  
Robert Jin ◽  
Stephen B. Soumerai ◽  
Louise E. Vaz ◽  
...  
Keyword(s):  
New York ◽  
Odds Ratio ◽  
Times Series ◽  
Hospital Acquired Conditions ◽  
Medicare Patients ◽  
Study Population ◽  
Tract Infections ◽  
Additional Payment ◽  
Healthcare Associated ◽  
Hospital Acquired

BACKGROUNDThe 2008 Centers for Medicare & Medicaid Services hospital-acquired conditions policy limited additional payment for conditions deemed reasonably preventable.OBJECTIVETo examine whether this policy was associated with decreases in billing rates for 2 targeted conditions, vascular catheter-associated infections (VCAI) and catheter-associated urinary tract infections (CAUTI).STUDY POPULATIONAdult Medicare patients admitted to 569 acute care hospitals in California, Massachusetts, or New York and subject to the policy.DESIGNWe used an interrupted times series design to assess whether the hospital-acquired conditions policy was associated with changes in billing rates for VCAI and CAUTI.RESULTSBefore the policy, billing rates for VCAI and CAUTI were increasing (prepolicy odds ratio per quarter for VCAI, 1.17 [95% CI, 1.11–1.23]; for CAUTI, 1.19 [1.16–1.23]). The policy was associated with an immediate drop in billing rates for VCAI and CAUTI (odds ratio for change at policy implementation for VCAI, 0.75 [95% CI, 0.69–0.81]; for CAUTI, 0.87 [0.79–0.96]). In the postpolicy period, we observed a decreasing trend in the billing rate for VCAI and a leveling-off in the billing rate for CAUTI (postpolicy odds ratio per quarter for VCAI, 0.98 [95% CI, 0.97–0.99]; for CAUTI, 0.99 [0.97–1.00]).CONCLUSIONSThe Centers for Medicare & Medicaid Services hospital-acquired conditions policy appears to have been associated with immediate reductions in billing rates for VCAI and CAUTI, followed by a slight decreasing trend or leveling-off in rates. These billing rates, however, may not correlate with changes in clinically meaningful patient outcomes and may reflect changes in coding practices.Infect. Control Hosp. Epidemiol. 2015;36(8):871–877

scholarly journals Modelling heteroscedasticty of streamflow times series

2013 ◽  
Vol 58 (1) ◽  
pp. 54-64 ◽  
Author(s):  
R. Modarres ◽  
T. B. M. J. Ouarda
Keyword(s):  
Times Series

scholarly journals GOLDEN EXPONENTIAL SMOOTHING: A SELF-ADJUSTED METHOD FOR IDENTIFYING OPTIMUM ALPHA

2020 ◽  
Vol 5 (2) ◽  
pp. 587
Author(s):  
Fong Yeng Foo ◽  
Azrina Suhaimi ◽  
Soo Kum Yoke
Keyword(s):  
Golden Section ◽  
Exponential Smoothing ◽  
Series Data ◽  
Training Process ◽  
Times Series ◽  
Golden Section Search ◽  
Training Stage ◽  
Forecasting Method ◽  
Double Exponential Smoothing ◽  
Accuracy Of Prediction

The conventional double exponential smoothing is a forecasting method that troubles the forecaster with a tremendous choice of its parameter, alpha. The choice of alpha would greatly influence the accuracy of prediction. In this paper, an integrated forecasting method named Golden Exponential Smoothing (GES) was proposed to solve the problem. The conventional method was reformed and interposed with golden section search such that an optimum alpha which minimizes the errors of forecasting could be identified in the algorithm training process.  Numerical simulations of four sets of times series data were employed to test the efficiency of GES model. The findings show that the GES model was self-adjusted according to the situation and converged fast in the algorithm training process. The optimum alpha, which was identified from the algorithm training stage, demonstrated good performance in the stage of Model Testing and Usage.

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