The experiment was conducted using Randomized Complete Block Design with Row Column arrangement and three replications. Grain yield, phenological and other traits were recorded. The Residual Maximum Likelihood (REML) combined analysis of variance across locations showed very highly significant (P

We introduce a framework for adapting virtual keyboard to individual user behavior by modifying Gaussian spatial model use personalized key center offset means and, optionally, learned covariances. Through numerous real-world studies, we determine the importance of training data quantity and weights, as well number clusters into which group keys avoid overfitting. While past research has shown ...

Predicting the response at an unobserved location is a fundamental problem in spatial statistics. Given difficulty modeling dependence, especially nonstationary cases, model-based prediction intervals are risk of misspecification bias that can negatively affect their validity. Here we present new approach for model-free nonparametric based on conformal machinery. Our key observation data be tre...

Abstract: In this paper, we suggest using a skew Gaussian-log Gaussian model for the analysis of spatial censored data from a Bayesian point of view. This approach furnishes an extension of the skew log Gaussian model to accommodate to both skewness and heavy tails and also censored data. All of the characteristics mentioned are three pervasive features of spatial data. We utilize data augme...