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RISA new procedure for variance estimation in simple random sampling using auxiliary information
Raquel Prado and Mike West: Time series: modelling, computation and inference
Bayesian prediction of order statistics with fixed and random sample sizes based on k-record values from Pareto distribution
In this paper, the two-parameter Pareto distribution is considered and the problem of prediction of order statistics from a future sample and that of its geometric mean are discussed. The Bayesian approach is applied ...
Optimal random sample size based on Bayesian prediction of exponential lifetime and application to real data
Choosing the sample size is a problem faced by anyone doing a survey of any type. What sample
size do we need?" is one of the most frequently asked questions of statisticians. The answer always
starts with ...
Rayleigh distribution revisited via ranked set sampling
his paper addresses the estimation of the parameter of Rayleigh distribution using different methods of frequentist and Bayesian estimation approaches based on different sampling schemes namely, simple random sample, ranked set sample, modified...
Prediction intervals for generalized order statistics with random sample size
The problem of predicting future generalized order statistics, by assuming the future sample size is a random variable, is discussed. A general expression for the coverage probability of the prediction intervals is ...
Error reduction of channel estimation based on singular value decomposition
Android application for event management and information propagation
Estimation of the shape and scale parameters of Pareto distribution using ranked set sampling
Stochastic Support Vector Machine for Classifying and Regression of Random Variables
Support vector machine (SVM) is a supervised machine learning method which
can be used for both classification and regression models. In this paper, we introduce a
new model of SVM and support vector regression ...