Aim: To compare the bias magnitude between logistic regression and Bayesian structural equation modeling (SEM) in a small sample with strong unmeasured confounding from two correlated latent variables. Study Design: Statistical analysis of artificial data. Methodology: Artificial binary data with above characteristics were generated and analyzed by logistic regression and Bayesian SEM over a pl...

Comparative study on Sea Surface Temperature: SST estimations among the conventional Multi-Channel Seat Surface Temperature: MCSST, split window method and the proposed Conjugate Gradient based method: CGM with Thermal Infrared Radiometer: TIR data through simulations is conducted. Utilizing the proposed linearized inversion of radiative transfer equation, SST can be estimated. SST estimation a...

A simple method for subset selection of independent variables in regression models is proposed. We expand the usual regression equation to an equation that incorporates all possible subsets of predictors by adding indicator variables as parameters. The vector of indicator variables dictates which predictors to include. Several choices of priors can be employed for the unknown regression coeecie...

In estimating equation technique for estimating the mean regression parameters, one important issue is how to choose the weights to improve the efficiency of the estimation. The key idea of this paper is to replace the weights with the empirically estimated covariances. We discuss regression of an outcome on a vector of covariates, and propose an optimal estimating equation approach which achie...

Normalized Equation and Decomposition Analysis: Computation and Inference This paper joins discussions on normalized regression and decomposition equations in devising a simple and general algorithm for obtaining the normalized regression and applying it to the Oaxaca decomposition. This resolves the invariance problem in the detailed Oaxaca decomposition. An algorithm to calculate an asymptoti...

Whole blood surface tension of 15 healthy subjects recorded by the ring method was investigated in the temperature range from 20 to 40 degrees C. The surface tension omega as a function of temperature t ( degrees C) is described by an equation of linear regression as omega(t) = (-0.473 t + 70.105) x 10(-3) N/m. Blood serum surface tension in the range from 20 to 40 degrees C is described by lin...

The segmented taper equation has great flexibility and is widely applied in exiting taper systems. The unconstrained least square regression (ULSR) was generally used to estimate parameters in previous applications of the segmented taper equations. The joint point parameters estimated with ULSR may fall outside the feasible region, which leads to the results of the segmented taper equation bein...

The study pertains to the estimation of carcass traits of broiler duck reared in hot and humid climate of Eastern India. The carcass and different cut weights were estimated using non invasive measurements, breast angle and body weights separately at different ages, i.e. 21, 28,35,42,49 and 56 days of age. The carcass traits were estimated using linear, logarithmic, exponential, inverse, power,...

SUMMARY – An ActiveX component to calculate temperature and vapour fraction in a geothermal reservoir using the quartz solubility geothermometry was written in Visual Basic. The approach is based on the conservation of mass and energy (enthalpy). Four representative types of regression equations for quartz solubility: (i) a quadratic regression equation of 1/T and pressure P, (ii) a linear equa...

Although geometry is one of the main areas of mathematical learning, the cognitive processes underlying geometry-related academic achievement have not been studied in detail. This study explored the relationship between working memory (WM), intelligence (g-factor) and geometry in 176 typically-developing children attending school in their 4 th and 5 th grades. Structural equation modeling showe...