Interval-Data Regression Model
Additive-multiplicative hazards regression models for interval-censored semi-competing risks data with missing intermediate events
... PAQUID data, dementia can be cen- sored informatively by ...multi-state model in which LTF is not regarded as censoring but as a non-fatal ...hazards model [8, 9] to estimate regression ...
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Socioeconomic and Demographic Determinants of Birth Interval in Bangladesh: A Statistical Analysis Using Survival Mixed Regression Model and Proportional Hazard Regression Model
... BDHS data is a monitoring indicators in population, health, and nutrition studies which is mainly funded by US Agency for International Development (USAID) and is accomplished under the authority of the National ...
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Online Full Text
... the interval-valued EM algorithm to solve different problems involving interval- valued data, for instance, to estimate the regression coefficients of linear and nonlinear regression ...
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A semiparametric regression model for longitudinal data with non stationary errors
... The results on autoregressive coefficients are reported in Table 4, where EST, SE and CI denote the coefficient estimate corresponding to the parameters shown on the first column of the table, its standard error, and the ...
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Burr type III Software Reliability Growth Model with Interval Domain Data
... mathematical model fit to the data?”. In order to validate the model under study and to assess its performance, experiments on a set of actual software failure data have been ...growth ...
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A Zero Inflated Regression Model for Grouped Data
... the interval regression part, those men who have the use of a car, and thus can travel more easily, visit their GP more frequently and those who do more housework, and thus have less free time, visit less ...
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Survival Model With Doubly Interval-Censored Data and Time-Dependent Covariates
... doubly interval censored data begins when De Gruttola and Lagakos [9] proposed a non- parametric estimation procedure based on the Turnbulls self-consistency ...DIC data has been studied extensively ...
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A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects
... on interval censored event data is the model of ...semi-parametric model for regression analysis of interval-censored failure time data based on a finite dimensional ...
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The Jackknife Interval Estimation of Parametersin Partial Least Squares Regression Modelfor Poverty Data Analysis
... the regression coefficient estimates in the PLSR model for poverty data analysis by developing a SAS macro program in order to measure the accuracy of PLSR coefficient regression ...
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Interval type 2 A intuitionistic fuzzy logic for regression problems
... fuzzy model (SVR-FM) for type-1 comparison with our ...self-evolving interval type-2 fuzzy neural network (SEIT2FNN) and interval type-2 fuzzy neural network with support vector regression ...
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Linear Regression Analysis for Symbolic Interval Data
... the interval data of the dependent variable and the indepen- dent variables are correlated with each ...the interval lengths of the two variables may not depend on each ...consider model 2 ...
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Analysis of Support Vector Regression Model for Micrometeorological Data Prediction
... Although model predictive control (MPC) in industry is an effective means to deal with multivariable constrained control problems, a key issue for controlling the environment appropriately is how to develop a ...
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Required Withholding Period for Vine Leaves Following Spraying with Pesticide
... toxicological data such as Acceptable Daily Intake (ADI in mg/kg/day) and Food Daily Intake (FDI in kg/day), and agronomic data such as active dose and dissipation curves in the field FAO and the World ...
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Principal Longevity, Leadership Behaviors, and Student Academic Achievement
... the model to our data in ...as interval censored data, and fit with the proposed method, we can increase the accuracy of estimates in the ...
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Analysis of The Profitability of Islamic Banking Using Arimax Model and Regression with Arima Errors Model Sri Aryani* 1, Muhammad Nur Aidi2 , Utami Dyah Syafitri 3
... Both model approaches are conceptually the combination between the regression model and ARIMA ...best model of the two approaches will be compared by considering the MAPE ...best model ...
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TREND ANALYSIS OF TUBERCULOSIS CASES AND THE EFFECT OF HIV CASES ON TUBERCULOSIS CASES IN SOME WEST AFRICAN COUNTRIES USING PANEL POISSON AND NEGATIVE BINOMIAL REGRESSION MODELS
... 4 Pimpin and Drumright (2011) carried out a systematic review to determine the burden of TB- HIV infection in the European Union and European Economic Area on 10 academic literature databases which were searched between ...
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Hurdle negative binomial regression model with right censored count data
... fishermen at a state park. Visitors are asked how long they stayed, how many people were in the group, were there children in the group and how many fish were caught. Some visitors do not fish, but there are no ...
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Geospatial examination of lithium in drinking water and suicide mortality
... Global regression models assume a homogeneous be- havior of the estimated parameters across space, which has often proven to be ...Weighted Regression (GWR), a local regression model that ...
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Reaching the lower stratosphere: validating an extended vertical grid for COSMO
... atmospheric model that has been de- veloped by a consortium lead by the german weather service DWD (German Weather ...the model for its regional numerical weather forecast of Europe and Ger- many with a ...
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A generalized panel data switching regression model
... panel data model of polychotomous switching which also allows for the dependence between unobserved effects and covariates in the ...The model we consider can be thought of as a generalization of a ...
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