Regression models
Top PDF Regression models:
Standardizing effect size from linear regression models with log-transformed variables for meta-analysis
... linear regression models, this limitation can be (at least to a certain extent) overcome by using different transforma- ...linear regression models are usually transformed to achieve the ...
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TítuloA methodology for the design of experiments in computational intelligence with multiple regression models
... for regression tasks in the field of Computational Intelligence and especially on a correct comparison between the different results provided for different methods, as those techniques are complex systems that ...
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A Comparison between Multiple Regression Models and CUN BAE Equation to Predict Body Fat in Adults
... use models and proce- dures that contain all that is necessary for the modelling but anything ...of models that violates parsimony ...multiple regression models to predict body fat, including ...
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Regression models with MoPs Bayesian networks
... art regression models as K-NN (our simple R implementation), and M5’(WEKA), DecisionStump (WEKA), Linear Regression with attributes selection (as in WEKA, default ...constant regression model ...
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Simulation tools for statistical model comparison: an application to unobserved componenet models versus dynamic regression models
... Relationship between two models, which DRAG terms capture UC trend and seasonality.. DYNAMIC MACRO MODELS FOR ROAD ACCIDENT ANALYSIS.[r] ...
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A methodological approach to estimate population density in a land-use cover change model - a case study in Bogota - Colombia
... (GWR) regression models to identify the significant determinants between housing built intensity and transport and urban oriented variables for residential land-use cells considered in BoLD ...local ...
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The hidden face of Justice: Fairness, Discrimination and Distribution in Transitional Justice Processes
... multivariate regression models between assignments and types of population, along with control variables for such factors as gender, age, socioeconomic level, employment, marital status and number of ...
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Air quality forecasting by statistical methods: model evaluation for Lisbon and Oporto
... forecast regression models for the last years, a statistical approach, based on Classification and Regression Trees (CART) and Multiple Regression (MR) analysis, first used by Casmassi (1987), ...
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Influence of vulnerability factors in panic disorder severity
... hierarchical regression models (Table 4): one predictive model from a more traditional approach, that is using a higher order dimension (in our case neuroticism, that was the higher order personality ...
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An application of discrete time survival models to analyze student dropouts at a private university in Peru
... the regression models for discrete data and applied them to the analysis of factors associated with dropout at a major private University in Per´ ...multivariate regression models, we found ...
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The present value model of US stock prices revisited: long run evidence with structural breaks, 1871 2010
... cointegrated regression models with multiple structural ...cointegration regression models but also allows for a consistent estimation of the number of breaks ...
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Racismo y salud mental en estudiantes universitarios de la Ciudad de Mxico
... In regression models (Table V), students with brown skin had lower levels of self-esteem in comparison with students who had white skin; these differences were maintained after adjusting for socioeconomic ...
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Characterizing the distribution of injury and injury severity for belted front-seat occupants involved in frontal crashes
... Multivariate regression models used data on passenger vehicles 15 years old or newer with no rollover or fire as documented in USA NASS CDS ...decade. Models accounted for occupant’s age, gender and ...
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Hospital performance reports based on severity adjusted mortality rates in patients with cirrhosis depend on the method of risk adjustment
... Background. Hospital outcome report cards are used to judge provider performance, including for liver transplantation. We aimed to determine the impact of the choice of risk adjustment method on hospital rankings based ...
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Factores que influyen en la adopción de innovaciones en productores de naranja en Álamo, Veracruz
... simple regression models were generated, using as dependent variable the increase in the innovation adoption index and as independent variables the specific attributes of the producer and his production ...
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Formal lifelong e learning for employability and job stability during turbulent times in Spain
... Regarding the year 2007, (C&S, N) was lower with reverse causality than without reverse causality: (0.107, 0.174) and (0.194, 0.272), respectively. We did not find any significant coefficient in education-split ...
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Estimation model of mechanical properties from the compressive strength values
... Two-parameter regression models, based on linear, exponential, logarithmic and geometric functions, were used as an alternative proposal for the estimation of the strength ...) regression ...
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Predicción de biomasa radicular en especies de pastizales semiáridos en el sur del Desierto Chihuahuense
... Several regression analyses pursuing to estimate root biomass from above ground plant traits were run for data of all the species as a ...exponential regression models showed (Table 5) to be ...
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Classical and causal inference approaches to statistical mediation analysis
... The mediation model is one of the most popular procedures for studying the role of third variables involved in the relationship between an independent variable and a response/outcome variable (Ato & Vallejo, 2010). ...
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Depressive disorder and psychosocial indicators in high school and college students from Mexico City: data from two censuses
... Introduction. Almost 5% of the Mexican general population (18-65 years old) has suffered depression once in their lives, and 2% of them more than once without receiving treatment. Objetive. To measure the prev- alence of ...
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