Valsartan had a significant beneficial effect on the least-square mean change in overall MLWHF score from baseline to study endpoint (± standard error) ... G Majani,A Giardini,C Opasich,... - 《Journal of Cardiac Failure》 被引量: 615发表: 2005年 Premature lesions of the carotid vessels...
Noun1.least squares- a method of fitting a curve to data points so as to minimize the sum of the squares of the distances of the points from the curve method of least squares statistics- a branch of applied mathematics concerned with the collection and interpretation of quantitative data and...
The kernel least mean square (KLMS) algorithm is the simplest algorithm in kernel adaptive filters. However, the network growth of KLMS is still an issue for preventing its online applications, especially when the length of training data is large. The Nystr?m method is an efficient method for...
Google Share on Facebook LSR (redirected fromLeast-Squares Regression) Category filter: AcronymDefinition LSRLabel Switching Router(MPLS) LSRLocal Storm Report(US NOAA) LSRLaser LSRLiquid Silicone Rubber LSRLand Speed Record LSRLocal Service Request ...
In this study, Q2predict values for both the PLS and linear model (LM) results were compared, along with the evaluation of predictor error using root mean square error (RMSE) values. As depicted in Table 6, both the Q2predict values for PLS and LM results demonstrate positivity. The RMSE...
Following Hansen (2008), the optimal mean square h-period ahead forecast is the conditional mean μT+h. Therefore, the least-squares forecast of yT+h from the mth approximation model equals yˆT+hm=μˆT+hm=xT+hm⊤βˆm, where xT+hm is assumed to follow xT+hm=xTm and becomes...
Subsequently, a deep constrained least square filtering mod- ule is applied to generate clean features based on the refor- mulation and estimated kernel. The deblurred feature and the low input image feature are then fed into a dual-path structured SR network and ...
Least significant change (LSC) in the BMD measurements for the spine and hip was calculated using the duplicate scans from baseline based on a DXA precision calculation of the root mean square CV (RMS-CV%). The 95% confidence interval LSC was calculated by multiplying the RMS-CV% by 2.77....
Compared to the two control sites, least square mean values (Table 3) indicated overall concentrations were only slightly higher (i.e., <0.002 mg/L different) at the three downstream test sites for TKN, TP, and TDP and were only slightly lower (i.e., ~0.002 mg/L different) at test ...
The chi-square statistic of each word in a certain emotion category may be counted using the two equations mentioned above. An emotion feature vector threshold may be configured for each category to make the feature vector more distinguishable. Emotion feature word combinations in the emotion categor...