This paper newly proposes the recursive least-squares (RLS) fixed-interval smoother and filter, based on the innovation theory, in linear continuous-time stochastic systems. It is assumed that the signal is observed with additive white noise and the signal process is uncorrelated with the observation noise. It is a characteristic that the estimators use the covariance function of the signal, in...

Bayesian inference and fixed and random effects. Professor Gelman writes " Bayesians see analysis of variance as an inflexible classical method. " He adopts a hierarchical Bayesian framework to " identify ANOVA with the structuring of parameters into batches. " In this framework he sidesteps " the overloaded terms fixed and random " and defines effects " as constant if they are identical for al...

This paper studies supply chain demand variability in a model with one supplier and N retailers that face stochastic demand. Retailers implement scheduled ordering policies: Orders occur at fixed intervals and are equal to some multiple of a fixed batch size. A method is presented that exactly evaluates costs. Previous research demonstrates that the supplier’s demand variance declines as the re...

A dataset was simulated and distributed to participants of the QTLMAS XII workshop who were invited to develop genomic selection models. Each contributing group was asked to describe the model development and validation as well as to submit genomic predictions for three generations of individuals, for which they only knew the genotypes. The organisers used these genomic predictions to perform t...

ABSTARCT The objective of this study was to analyze the effects of factors affecting reproductive traits in the Holstein population of the Isfahan dairy farms for subsequent compilation of the model for genetic evaluation as well as for herd management practice. A data set containing 99012 records were analyzed by a linear model with fixed effects of year , herd ,season, parity of dam, calving ...

Abstract Forest inventories are often carried out with a particular design, consisting of multi-level structure observation plots spread over larger domain and fixed plot design exact locations within these plots. Consequently, the resulting data collected intensively equal size but much less intensity at spatial scales. The likely to be spatially correlated both between plots, effects extendin...