Mean observed (from the valuation survey) and modelled (based on regression
Modelled and observed mean and seasonal relationships between climate, population density and malaria indicators in Cameroon
... the mean tempera- tures, while the prevalence peaks at a lower value of rain- ...those observed, and it is likely that, if the model is to be used to aid operational decisions in Cameroon, the use of ...
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Comparisons of observed and modelled lake δ18O variability
... Where a more quantitative approach has been taken, mass balance models have been used (e.g. Ricketts and Johnson, 1996; Benson and Paillet, 2002; Steinman et al., 2010a,b). These studies suggest that different speci fi c, ...
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Research Article Poisson Regression-Based Mean Estimator
... Furthermore, the practical results corroborated the theoretical findings. 1. Introduction The emphasis on using supplemental/auxiliary data to im- prove estimate precision might be the criterion that dis- tinguishes ...
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Regression toward the mean – a detection method for unknown population mean based on Mee and Chua's algorithm
... problem based on a known population mean and nor- mally distributed ...samples. Based on his work Senn and Brown [26] derived maximum likelihood equations to estimate the RTM and the treatment ...
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Commentary: Beware regression to the mean
... This was an observational study that used anon- ymised data to determine changes in prescribing patterns between two financial years. Our findings cannot be taken as evidence of longer term trends in prescribing, and we ...
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Errors of Measurement: Regression Toward the Mean
... linear regression line, ...the mean value of one of the variables, called the outcome, dependent, or y variable, from the observed value of the other, called the predictor, explanatory, independent, ...
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Assessing observed and modelled spatial distributions of ice water path using satellite data
... ISCCP, one of the longest datasets, has low IWP values by comparison and has particularly low values in the tropics. MSPPS has the lowest IWP values of the datasets. This dataset, based on passive microwave ...
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Observed and modelled solar radiation components in sugarcane crop grown under tropical conditions
... and observed difference errors is ...the mean absolute error (MAE) and the root mean square error (RMSE), whereas Krause et ...linear regression between the estimated and observed ...
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On the Variability of Pacific Ocean Tides at Seasonal to Decadal Time Scales: Observed vs Modelled
... 84 3.3.1.3.2 Diurnal TATs, NW Figure 20 shows the K1 tidal map for the Northwest Pacific, in which only one amphidromic system in the Yellow Sea is observed. Mean K1 amplitudes are very nearly the same at ...
456
Mean Absolute Percentage Error for regression models
... 380 is positive by design and remains quite far away from zero, e.g. in price prediction for expensive goods). Two open theoretical questions can be formulated from this work. A first question is whether the lower bound ...
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Proportional mean regression models for censored data
... posterior mean and median) are nearly unbiased as sample size increases and also the coverage probability of a 95% posterior interval approaches the nominal value of ...made based on Table ...
26
Regression analysis of mean residual life function
... The mean residual life function (mrlf) of a subject is defined as the ex- pected remaining lifetime of the subject given that the subject has survived up to a given ...used regression models as proportional ...
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Strategies for mean and modal multivariate local regression
... the regression estimates have been observed to be as good, when compared with the simulated response at that point, as at those ac- cepted by the ...the regression estimate is large, as one would ...
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Radical chemistry at night: Comparisons between observed and modelled HOx, NO3 and N2O5 during the RONOCO project
... a mean sense the loss of NO 3x from the atmosphere is dominated by the heterogeneous uptake of N 2 O 5 onto aerosol, there are significant other processes which can dominate under certain ...
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The changes of soil mineral nitrogen observed on farms between autumn and spring and modelled with a simple leaching equation
... linear regression of the autumn N min content on N min change during winter suggested that 74% of autumn N min was apparently lost from the 0–60 cm ...the regression line (pooled data of experimental years) ...
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Evaluation of influencing factors on tea production based on random forest regression and mean impact value
... Abstract: Overproduction of tea in the major producing countries is an important factor which restricts the devel- opment of tea. Therefore, the factors from the economic, social and environmental system affecting tea ...
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Semiparametric regression for the mean and rate functions of recurrent events.pdf
... suggests that model (1.5) or model (5.3) is more appropriate than models (5.1) and (5.2). Note that the test for no treatment dierence based on model (5.3) is purely nonparametric in that it does not model any ...
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Effect of Mean on Variance Function Estimation in Nonparametric Regression
... nonparametric regression is considered and the minimax rate of convergence is ...unknown mean on the estimation of the variance ...the mean when the mean function is not ...the mean ...
21
Assessing regression to the mean effects in health care initiatives
... intervention based on their outlier baseline “risk” score, and there is large within- subject variability or measurement ...any observed treatment ...
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Estimation and Testing of Instrumental Mean and Quantile Regression Models
... estimator based on a model selection approach ...is based on minimizing the asymptotic integrated mean-square error and does not involve the knowledge of the eigenfunctions of the ...
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