Results 31 to 40 of about 201,886 (307)

MAPE, MAE, and RMSE.

, 2022
MAPE, MAE, and RMSE.
Ming Xia (347842), Xiangwu He (12700154), Hui Lin (161703), Yubin Zhou (201088), Zhimin Xie (773866)   +4 more
core   +1 more source

Final model (RMSE: 10.84).

, 2021
Final model (RMSE: 10.84).
Chathurangi Edussuriya (11662875), Indika Gawarammana (238893), Sampath Deegalla (11662878)   +2 more
core   +1 more source

FORECASTING THE CONSUMER PRICE INDEX WITH GENERALIZED SPACE-TIME AUTOREGRESSIVE SEEMINGLY UNRELATED REGRESSION (GSTAR-SUR): COMPROMISE REGION AND TIME

Barekeng, 2023
Economic success will provide benefits for improving people’s welfare. An important indicator to determine economic success can be seen through inflation by calculating the Consumer Price Index (CPI).
Prizka Rismawati Arum, Anita Retno Indriani, M Al Haris   +2 more
doaj   +1 more source

RMSE is not enough: Guidelines to robust data-model comparisons for magnetospheric physics

Journal of Atmospheric and Solar-Terrestrial Physics, 2021
Abstract The magnetospheric physics research community uses a broad array of quantitative data-model comparison methods (metrics) when conducting their research investigations. It is often the case, though, that any particular study will only use one or two metrics, with the two most common being Pearson correlation coefficient and root mean square ...
Liemohn, Michael W., Shane, Alexander D., Azari, Abigail R., Petersen, Alicia K., Swiger, Brian M., Mukhopadhyay, Agnit   +5 more
openaire   +4 more sources

The relationship between WLSMV-based fit indices, theta RMSE/ RMSE, and test factors (TD).

, 2022
The relationship between WLSMV-based fit indices, theta RMSE/ RMSE, and test factors (TD).
HyunSuk Han (13804197)
core   +1 more source

With optimization (RMSE: 20.45).

, 2021
With optimization (RMSE: 20.45).
Chathurangi Edussuriya (11662875), Indika Gawarammana (238893), Sampath Deegalla (11662878)   +2 more
core   +1 more source

Comparing the neural network with path analysis in fitting regression models [PDF]

Journal of Hyperstructures, 2020
The purpose of this study was to compare a neural network with the path analysis in fitting regression models. Theconceptual model of path analysis according to the studied data includes a dependent variable, two independent variables and one mediating ...
Fereshteh Aard, Ayyub Sheikhi
doaj   +1 more source

The relationship between WLSMV-based fit indices, theta RMSE/ RMSE, and test factors (RD) relationship between RMSEA and RMSE of ability and difficulty estimates with test factors.

, 2022
The relationship between WLSMV-based fit indices, theta RMSE/ RMSE, and test factors (RD) relationship between RMSEA and RMSE of ability and difficulty estimates with test factors.
HyunSuk Han (13804197)
core   +1 more source

Forecasting Blood Demand Using the Support Vektor Regression Method (Case Study: Blood Transfusion Unit-PMI Central Lombok)

JISA (Jurnal Informatika dan Sains), 2023
Blood is an important component produced by the human body. Blood is also a very vital part of human survival. When blood levels in the human body are less than they should be, the way to overcome this is by donating blood or blood transfusion.
Yati Apriati, Wafiah Murniati, Saikin Saikin, Sofiansyah Fadli, Hairul Fahmi   +4 more
doaj   +1 more source

STANDARD MBTHOD OF RMSE CALCULATION FROM POLYNOMIAL RECTIFICATION

Journal of Engineering, 2002
Image quality and geometric accuracy of SPOT data are essential elements in cartographi: applications. The evaluation of geometric accuracy of SPOT data is carried out by analysis and quantification of the errors in geometric correction. For this purpose, many programs are designed to correct the image geometrically (polynomial transformation) and to ...
Ruba Yousif Hussain, Abd ul-Razzak T . Ziboon, Khalid I. Hassun   +2 more
openaire   +2 more sources