We characterize the convergence in distribution to a standard normal law for a sequence of multiple stochastic integrals of a fixed order with variance converging to 1. Some applications are given, in particular to study the limiting behavior of quadratic functionals of Gaussian processes. 1. Introduction. In this paper, we characterize the convergence in distribution to a normal N (0, 1) law f...

Meta-analytic methods have been widely applied to education, medicine, and the social sciences. Much of meta-analytic data are hierarchically structured because effect size estimates are nested within studies, and in turn, studies can be nested within level-3 units such as laboratories or investigators, and so forth. Thus, multilevel models are a natural framework for analyzing meta-analytic da...

Now, we come to offer you the right catalogues of book to open. optimal design of blocked and split plot experiments is one of the literary work in this world in suitable to be reading material. That's not only this book gives reference, but also it will show you the amazing benefits of reading a book. Developing your countless minds is needed; moreover you are kind of people with great curiosi...

In the field of statistical prediction, the tasks of model selection and model evaluation have received extensive treatment in the literature. Among the possible approaches for model selection and evaluation are those based on covariance penalties, which date back to at least 1960s, and are still widely used today. Most of the literature on this topic is based on what we call the “Fixed-X” assu...

We consider the testing problem in a fixed-effects functional analysis of variance model. We test the null hypotheses that the functional main effects and the functional interactions are zeros against the composite nonparametric alternative hypotheses that they are separated away from zero in L2-norm and also possess some smoothness properties. We adapt the optimal (minimax) hypothesis testing ...

Linear mixed e‚ects models are frequently used for estimating quantitative genetic parameters, including the heritability, of traits of interest. Heritability is an important metric, because it acts as a €lter that determines how eciently phenotypic selection translates into evolutionary change. As a quantity of biological interest, it is important that the denominator, the phenotypic variance...

The objective of this study was to estimate the dominance variance for postweaning gain in Limousin cattle. Data included 215,326 records of postweaning gain from 205 to 365 d, provided by the North American Limousin Foundation. Parental dominance subclasses were formed and related using the method of Hoeschele and VanRaden. Variance components were estimated using Method R based on six samples...

Article history: Received 2 March 2009 Received in revised form 23 June 2009 Accepted 27 July 2009

In this contribution we determine the rst two moments of the ' xed' GPS baseline. The rst two moments of the ' oat' solution are well-known. They follow from standard adjustment theory. In order to determine the corresponding moments of the ' xed' solution, the probabilistic characteristics of the integer least-squares ambiguities need to be taken into account. It is shown that the ' xed' GPS b...

Simulation can be used to estimate a cycle time-throughput (CT-TH) curve of a manufacturing or service system model at several different traffic intensities. Cycle time variance increases rapidly as throughput approaches system capacity; thus, naïve sampling, which expends an equal amount of simulation effort at each traffic intensity being considered, leads to widely differing precision along ...