In this paper, on the basis of a doubly censored sample and in a Bayesian framework, the problem of estimating the mean lifetime, hazard rate, and survival function of the exponential lifetime model is addressed. Bayes estimators under squared-error loss functions are obtained in closed forms. Highest posterior density (HPD) estimators and credible intervals are computed using iterative methods...

Learning Factors Analysis (LFA), a form of student modeling, is used to predict whether a student can correctly answer a tutor question. Existing evaluations of LFA rely on metrics like the crossvalidated root mean squared error (RMSE). However, the LFA output can be a binary classification (the student will be correct or not), so we can use classification metrics, such as precision and recall,...

Coprime arrays enable Direction-of-Arrival (DoA) estimation of an increased number sources. To that end, the receiver estimates autocorrelation matrix a larger virtual uniform linear array (coarray), by applying selection or averaging to physical array's estimates, followed spatial-smoothing. Both and have been designed under no optimality criterion attain arbitrary (suboptimal) Mean-Squared-Er...

This criterion should be contrasted with the RSS encountered earlier in the course. The RSS pertains to model estimation, since we are already assuming a given model for some particular data set; and it suffices to estimate the specific values of our estimators for the unknown parameters. The MSE combines the previous two criteria, on the unbiasedness and the variance of β̂, through the followin...

abstract assessing moisture in the soil under cultivation of crops to achieve high performance and reduced water are necessary. knowledge of the moisture distribution in the root zone, time consuming and costly field tests that simulation models, a suitable alternative in answer to issues of movement and are water distribution. in this study assessment of soil moisture, to aid swap simulation m...

In this study, several regression models were employed to estimate global solar radiation from commonly available meteorological data such as sunshine duration, temperature, precipitation, and cloud cover for 34 meteorological stations of Bangladesh. The models studied were calibrated using five meteorological stations that are providing global solar radiation as well as other meteorological da...

We analyse the effect of the anonymisation method multiplicative stochastic noise on the within estimation of a linear panel model. In particular, we concentrate on the panel model with serially correlated regressors. In addition to anonymisation as such, the serial correlation in a data set with only few points in time increases the bias of the within estimator and therefore must be taken into...

This chapter discusses important aspects of the validation and verification of neural network models including selection of appropriate error metrics, analysis of residual errors and resampling methodologies for validation under conditions of sparse data. Error metrics reviewed include mean absolute error, root mean squared error, percent good and absolute distance error. The importance of inte...