Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 79 for “"R-squared"”.
-
Selecting the Best Linear Mixed Model Using Predictive Approaches
… model setting. Predictive approaches such as R-squared, PRESS, and CCC are available for the linear mixed model but require more research (Edward, 2005). This project used simulation to investigate the performance of R-squared, PRESS, CCC, Pseudo F-test and information criterion for …
-
Analisa indikator makro ekonomi terhadap pertumbuhan sukuk di Indonesia: Sebuah analisa dengan metode Error Correction Model (ECM)
… korporasi sebesar 1.414610. Nilai Adjusted R-squared dalam jangka panjang adalah 0.654 atau sebesar 65%. Dalam jangka pendek hanya pertumbuhan ekonomi yang memiliki pengaruh signifikan positif terhadap pertumbuhan sukuk sebesar 0.858677. Sedangkan inflasi, kurs dan jumlah uang beredar tidak …
-
Heuristic Prioritization Of Emergency Evacuation Staging To Reduce Clearance Time
… 40,000 and 60,000. Holding size constant, R-squared values ranged from 97.1 to 99.3, indicating a high goodness of fit. Holding Total Trips constant, R-squared values ranged from 74.5 to 89.2. Finally, both Total Trips and size were used as predictors; the resulting regression model had an …
-
Psychometric measurement of physical performance in older adults
… +0.274 Age +2.22 Gender - 0.366 VSAQ). The r-squared value for this was 62.5%. Performance time was significantly predicted by adding the selected values from the YPAS (exercise and work) and the value from the VSAQ (Time= 18.5 - 0.566 VSAQ +0.0568 %Exer + 0.0350 %Work). The r-squared value …
-
Novel Statistical Methods for Mediation Analysis with High-dimensional Omics Mediators
… is introduced for the variance-based R-squared total mediation effect measure, which is specifically developed for high-dimensional omics mediators. The method applies variable selection for true mediator identification and ordinary least squares regression for estimation. A Wald-type …
-
Assessment of cataract blindness prevalence and factors associated with surgical coverage in Rwanda
… regression: F (1,95) = 16.06, p = 0.0001, R-Squared = 0.1446, Adjusted R-Squared = 0.1356). Conclusions: Older women (≥70 years) were the most vulnerable to untreated cataract blindness in Rwanda and therefore special programs need to target them for cataract surgical services. Distance to …
-
The Dynamic Linkages among Sector Indices: The case of the Amman Stock Exchange in the period of 2000-2020
… high explanatory power, with R-squared and adjusted R-squared values above 99% for<br/>all sectors. Granger causality tests indicate bi-directional causality between the financial and<br/>general indices and between the service and industrial indices. Impulse response functions …
-
DEVELOPMENT OF A LC/MS/MS ENZYME METHOD FOR N8 - ACETYLSPERMIDINE MEASUREMENTS IN ENZYME ASSAYS
… regression as y = 1.064x + 0.218 with an R-squared value of 0.9996, where y is the peak area of the fragment-ion SRM (selected reaction monitoring: <em>m/z</em>: 188/114) chromatograms from N<sup>8</sup> -acetylspermindine and x is the concentration of N<sup>8</sup> - acetylspermindine. …
-
Ship Power Prediction Using Machine Learning
… percentage error of less than 5%, and an R-squared above 95%. This performance can be further improved by the addition of wave information, but it deteriorates when the data collection becomes less frequent.
-
Risk prediction models for hip fracture: parametric versus Cox regression
… better goodness of fit, higher D-statistic and R-squared values than the exponential. Models did not differ in c-index and ten-fold cross validation showed similar areas under the ROC curves. Conclusion: Parametric and Cox models were comparable. External validation of the prediction model is …
-
Integrating Machine Learning into Data Analysis and Plant Performance
… learning model achieves a 10% improvement on R squared with a value of .88 while the linear regression achieves an R squared value of .80. In addition, the machine learning model better handles missing data and shows that the Design Standard Time Ratio and Delivery Scheduled Time Achievement …
-
Multisensor Multitemporal Fusion for Remote Sensing using Landsat and MODIS Data
… Carolina, WSTARFM produced results with median R-squared values of 0.98 and 0.95 for the near-infrared band over deciduous forests and developed areas, respectively. Those results were obtained by withholding an actual Landsat image, and comparing it with a predicted version of the same image. …
-
Dynamic Strain Measurement Using Brillouin Optical Time-Domain Reflectometry
… are obtained, and the sine-fitting R-squared values of the detected strain vibration profiles are also higher. To further improve the detection of the vibration, the BGS images along the time axis are drawn for the fibre section with vibration and denoised by the neural network. With …
-
Generalized Bathtub Hazard Models for Binary-Transformed Climate Data
… other models considered with coefficient of R-squared values at 0.95 or higher. However, fewer sites and months could be included in the analysis when we increased our threshold to 10 mph. Based on a 10 mph threshold, Bowling Green (FARM), Hopkinsville (PGHL), and Columbia (CMBA) posted the top …
-
Pengaruh kesehatan, keselamatan, dan lingkungan kerja terhadap kinerja karyawan: Studi pada PT. Rajawali I Unit PG. Krebet Baru Bululawang-Malang
… correlation coefficient (R)= 0.909 and R squared is 0.8262 or 82.62%. Safety variables value R = 0, 856, and R squared 0.7327 or 73.27%. Working environment variable value of R = 0.834 and R squared 0.6955 or 69.55% so the safety variables X1 is the most dominant.
-
Machine Learning & Big Data Analyses for Wildfire & Air Pollution Incorporating GIS & Google Earth Engine
… areas in Arkansas. The obtained R-squared values from RF are 0.99 for the training regression and 0.92 for the validation. Research outcomes suggest that potential evapotranspiration, soil moisture, Palmer Drought Severity Index, and dry season precipitation are the most …
-
Determination of Urban Land Use Variables That Accurately Predict Fecal Coliform Levels In Shellfish Harvesting Waters Within Estuarine Salt Marsh Ecosystems of the Southeastern United States of America.
… watershed under study. Model results indicated R-Squared values up to 0.39 were obtained with simple regression models incorporating only the number of parcels developed and precipitation data in annual and seasonal models. These simple models represent a large percent of the variability inherent …
-
An assessment of the relationship between Global Competitiveness Index scores and national GDP per capita growth rates
… in order to assess impacts on adjusted R-squared values. Regressions were performed on stock and flow values for twelve country competitiveness variables. The results show that the cluster analysis coupled with the specified multiple regression models significantly improved the explanatory …
-
Residential Development Patterns in Flathead County, Montana
… 24,671 residential parcels and returned an R-squared of .522. In a similar manner, a binary logistic regression model was developed using the same variables in order to estimate the probability of parcel development. In this operation, 38,379 parcels were included, and the model estimated …
-
Residential Development Patterns in Flathead County, Montana
… 24,671 residential parcels and returned an R-squared of .522. In a similar manner, a binary logistic regression model was developed using the same variables in order to estimate the probability of parcel development. In this operation, 38,379 parcels were included, and the model estimated …
Page 1 of 4