1994 ◽  
Vol 164 (5) ◽  
pp. 676-679 ◽  
Author(s):  
Michael Gossop ◽  
John Strang ◽  
Paul Griffiths ◽  
Beverly Powis ◽  
Colin Taylor

This paper presents an approach to estimating the prevalence of cocaine use, based upon a new ratio estimation technique. This method can be applied to random samples of overlapping populations for which no sampling frames exist. When the ratio estimation method is applied to the two study samples (drawn from populations of people using cocaine and people using heroin) the ratio of cocaine users to heroin users (C/H) was 1.55, with a 95% confidence interval of ±0.48. Such estimates should be applied with caution. However, if used with reference to national estimates of about 75 000 heroin users, application of the present estimate suggests that there may be about 116 000 cocaine users in the UK.


2012 ◽  
Vol 271-272 ◽  
pp. 932-935
Author(s):  
Hong Ying Hu ◽  
Wen Long Li ◽  
Feng Qiang Zhao

Empirical Mode Decomposition (EMD) is a non-stationary signal processing method developed recently. It has been applied in many engineering fields. EMD has many similarities with wavelet decomposition. But EMD Decomposition has its own characteristics, especially in accurate trend extracting. Therefore the paper firstly proposes an algorithm of extracting slow-varying trend based on EMD. Then, according to wavelet regression estimation method, a new regression function estimation method based on EMD is presented. The simulation proves the advantages of the approach with easy computation and more accurate result.


Author(s):  
Silvio Cabral Patricio ◽  
Alessandro Jose Queiroz Sarnaglia ◽  
Fabio A. Fajardo Molinares ◽  
Paulo Henrique Silva Marques Azevedo

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0240046
Author(s):  
ChunJing Li ◽  
Yun Li ◽  
Xue Ding ◽  
XiaoGang Dong

This paper propose a direct generalization quantile regression estimation method (DGQR estimation) for quantile regression with varying-coefficient models with interval censored data, which is a direct generalization for complete observed data. The consistency and asymptotic normality properties of the estimators are obtained. The proposed method has the advantage that does not require the censoring vectors to be identically distributed. The effectiveness of the method is verified by some simulation studies and a real data example.


2019 ◽  
Vol 12 (3) ◽  
pp. 146 ◽  
Author(s):  
Ha ◽  
Le ◽  
Trung-Kien

This paper explores the impact of urbanization on income inequality in Vietnam, using the regression estimation method with panel data including Driscoll and Kraay, and Pooled Mean Group. The research data cover 63 provinces in Vietnam from 2006 to 2016. The results show that in the long term, urbanization has an impact on reducing income inequality. In the short term, urbanization has a negligible impact on income inequality. The hypothesis of an inverted-U-shaped relationship between urbanization and income inequality is confirmed. The high school enrollment rate and the proportion of agriculture have an effect on reducing income inequality.


1989 ◽  
Vol 33 (11) ◽  
pp. 742-744
Author(s):  
Stephen J. Morrissey ◽  
Alvah C. Bittner

This study examined the accuracy with which trained and conditioned females could set Maximum Acceptable Weights (MAWs) using ratio estimation. Examined were two lifting ranges, floor-to-knuckle and knuckle-to-shoulder, and four lift frequencies (lifts every 9-, 20-, 60-, and 120-seconds). In each of the eight conditions subjects set the MAW using the method of adjustment. Immediately after the MAW had been set, the task was changed, performed for a few cycles, and rated using ratio estimation. This rating was used to establish an estimated MAW for the second lifting task. On a later day, the MAW was set for the second task using the method of adjustment and the MAW for the original task estimated with ratio estimation. This allowed comparison of the accuracy of MAWs set by psychophysical and ratio estimation methods as affected by the frequency and lifting zone of the standard task. Consistent with previous research there were significant effects on the MAW due to frequency of lift and the lift range. Also, and importantly, there were no significant differences between MAWs set by ratio estimation and by the traditional method of adjustment (p>0.6). This indicates that ratio estimation is an accurate method to quickly establish MAWs for a variety of lifting tasks. This indicates that MAWs for entire classes of lifting tasks can be quickly and accurately determined with ratio estimation.


2018 ◽  
Vol 7 (3) ◽  
pp. 259
Author(s):  
NI LUH SUKERNI ◽  
I KOMANG GDE SUKARSA ◽  
NI LUH PUTU SUCIPTAWATI

The study is aimed to estimate the best spline regression model for toddler’s weight growth patterns. Spline is one of the nonparametric regression estimation method which has a high flexibility and is able to handle data that change in particular subintervals so thus resulting in model which fitted the data. This study uses data of toddler’s weight growth at Posyandu Mekar Sari, Desa Suwug, Kabupaten Buleleng. The best spline regression model is chosen based on the minimum Generalized Cross Validation (GCV) value. The study shows that the best spline regression model for the data is quadratic spline regression model with six optimal knot points. The minimum GCV value is 0,900683471925 with the determination coefficient  equals to 0,954609.


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