Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…Accounting for imperfect and variable detection is important for obtaining unbiased estimates of state variables. …”
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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

“…The main goal of this paper is to build an Artificial Intelligence model with the most flexibility in the input part for the data type heterogeneity and the lowest error in the output part as the predicted price. …”
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Basic assumptions, core connotations, and path methods of model modification—using confirmatory factor analysis as an example by Zhangbo Xiong, Huixian Xia, Jianjun Ni, Hongzhen Hu

“…Except for certain specific models, error correlations should only be established based on theoretical support to improve the model’s goodness-of-fit. …”
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An Augmented Estimation of the State of Charge and Measurement Fault for Lithium-ion Batteries for Off-Grid Stationary Applications by Mehrdad Yousefi Faal

“…On the other hand, low-cost sensors have some error in the form of bias or fault on their output, which causes an estimation error in the battery state of charge. …”
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Prediction of PM2.5 via precursor method using meteorological parameters by Naeem Sadiq, Zaheer Uddin

“…The accuracy of  results were further verified by Mean Absolute Percentage Error (MAPE), Mean Absolute Bias Error (MABE), and Chi square statistics (Chi).…”
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La regulación de etiquetado en la industria del tabaco de México: efecto de los pictogramas en la demanda de tabaco by Jorge Ibarra Salazar, César González Caloca, Silvia Núñez Gómez, Manuel Ramírez García, Mario Rodríguez Nuncio, Catalina Santos González

“…Se estiman los modelos de demanda convencional, miope y racional con una serie de tiempo trimestral de 1994 a 2013, usando mínimos cuadrados ordinarios y mínimos cuadrados en dos etapas con variables instrumentales. Se aplica el método de Prais-Winsten para corregir autocorrelación y se estiman errores robustos para corregir heteroscedasticidad. …”
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Dimensiones utilitarista y eficientista del uso de internet by Lirios Cruz García, Javier Carreón Guillén, Jorge Hernández Valdés, José Marcos Bustos Aguayo, María de Lourdes Morales Flores, Gerardo Arturo Limón Domínguez

“…Los resultados permitieron corroborar la hipótesis de dos dimensiones de uso de Internet, aunque los valores de disturbio y error sugieren la inclusión de otras variables en el modelo. …”
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Influencia de la distribución del acero de refuerzo longitudinal en los diagramas de interacción de columnas sólidas circular by Sulpicio Sánchez Tizapa, Alfredo Cuevas Sandoval, Rocío N. Ramos Bernal, Ángel Cortés Niño, René Vázquez Jiménez, Roberto Arroyo Matus

“…El error entre curvas es 2%, 4% y 7% en columnas reforzadas con 10, 7 y 6 barras respectivamente. …”
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TEST GESTÁLTICO VISOMOTOR DE BENDER MODIFICADO Y TEST DE CARAS: UNA EVALUACIÓN DE LA VALIDEZ DE CONSTRUCTO. by César Merino Soto

“…Los resultados indican que la varianza comparti da entre ambas medidas es cero, aun cuando se aplicaron correlaciones desatenuadas por error de medición; tampoco se detectaron patrones no lineales entre ambas variables. …”
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Crecimiento económico y tráfico aéreo de pasajeros: un análisis para las entidades federativas en México by Ignacio Javier Cruz Rodríguez, José Feliciano Rodríguez Flores

“…Limitaciones: La principal limitación del estudio es que toma la relación entre solo dos variables. Conclusiones: Existe unidireccionalidad que va del tráfico de pasajeros al crecimiento económico.…”
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¿El desarrollo del mercado accionario genera crecimiento económico en México? Un análisis de series de tiempo by Francisco López Herrera, Domingo Rodríguez Benavides

“…A partir de la estimación de un modelo de corrección del error, se encuentra evidencia que apoya la hipótesis de una re- lación estable y de largo plazo entre ambas variables, en el mismo sentido que los hallaz-gos de Ron (2001) para México. …”
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EXCHANGE RATE MISALIGNMENT AND PERFORMANCE OF THE NIGERIAN ECONOMY by Okoi Innocent Obeten, Maryjoan Ugboaku Iheanacho, Comfort Innocent Okoi

“…Historical research design was used while Augmented Dickey-Fuller (ADF) test, Johansen cointegration test and Pasimonius Error Correction Mechanism (ECM) test and estimation of relevant equations were applied. …”
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A A three-phase induction motor dynamic framework regulated by predictive and intelligent optimizations. by Shaswat Chirantan, Bibhuti Bhusan Pati

“…This cost function is calculated based on the squared error between the reference current and the measured stator current. …”
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A Dual Extended Kalman Filter for the State of Charge Estimation of Lithiumion Batteries by Ndayishimiye Christian, Lu Ling

“…Conventional extended Kalman filters always have a small estimation error due to the presence of linearization in their process. …”
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Covariate-adjusted construction of gene regulatory networks using a combination of generalized linear model and penalized maximum likelihood. by Omid Chatrabgoun, Alireza Daneshkhah, Parisa Torkaman, Mark Johnston, Nader Sohrabi Safa, Ali Kashif Bashir

“…To find most appropriate related species, a cross-validation technique has been used to compute the minimum square error of the fitted GLM under different regularization. …”
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Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines by Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh, Raja Rajeswary Suppiah

“…The results show that the model achieved a coefficient of correlation, root mean square error and average absolute percentage error values of 0.94, 130 and 4.2% respectively. …”
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Análisis preliminar de un protocolo para la evaluación de marcos deícticos by María Isabel Rendón

“…Se calculó el número de errores cometido por cada participante y grupo de edad en cada marco deíctico y nivel de complejidad relacional, al igual que se estimó el efecto intersujetos mediante un ANOVA de dos vías con edad y versión (cara-acara y computador) como variables independientes y tipo de ensayo como variable dependiente. …”
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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

“…In order to overcome the complexity and variability of underwater working environments, as well as the difficulty of controlling the flapping motion due to the significant nonlinear characteristics and numerous variables involved, a direct exploration approach is proposed to search for the optimal flapping foil propulsion parameters in the environment. …”
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Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques by Nang Xuan Ho, Tien-Thinh Le, The-Hung Dinh, Van-Hai Nguyen

“…Indeed, ANN trained by PSO delivered better performance in terms of RMSE, MAE, ErrorStD, R2 and Slope in comparison to ANN trained by SCG, for instance. …”
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Modeling Compressive Strength of Self-Compacting Concrete (SCC) Using Novel Optimization Algorithm of AOA by Francisca Blanco, Ye Woo

“…Furthermore, the root mean square error (RMSE) was calculated at 3.81 MPa, demonstrating the effectiveness of the proposed method in predicting SCC’s compressive strength with high accuracy.…”
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