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Long-term electricity load forecasting model based on multi-period and multi-scale analysis. [PDF]

PLoS One
Zhang X, Liu Z, Wang C, Qian Z.
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Comparative analysis of non-linear growth model fit in chicken growth: a systematic review. [PDF]

Trop Anim Health Prod
Thankge KM, Tsenane JA, Mokoena K, Mokgapa PS, Mathapo MC, Tyasi TL.   +5 more
europepmc   +1 more source

Novel class of population mean estimators based on robust regression methods. [PDF]

Sci Rep
Kumar A, Kumari R, Alomair AM, Alomair MA.   +3 more
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Multiresponse robust design: Mean square error (MSE) criterion [PDF]

Applied Mathematics and Computation, 2006
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Onur Köksoy
exaly   +6 more sources

MSE < Variance? A pitfall in calculating the mean square error

Model Assisted Statistics and Applications, 2011
When calculating the mean square error (MSE), it is possible to encounter a situation where the variance of a parameter of interest is larger than its mean square error. In theory, this is impossible because MSE is the sum of variance and bias squared; even when bias is zero, the MSE should be equal to, and not less than, the variance.
Ng, Edmond Siu-Woon
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Analysis of Mean-Square-Error (MSE) for fixed-point FFT units

2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011
Range and precision analysis are important steps in assigning suitable integer and fractional bit-widths to the fixed-point variables in a design such that no overflow occurs and a given error bound on maximum mismatch and (or) Mean-Square-Error (MSE) is satisfied.
Omid Sarbishei, Katarzyna Radecka
openaire   +4 more sources