Characterization ofp-Generalized Normality

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Generalized Descents and Normality

We use Janson’s dependency criterion to prove that the distribution of d-descents of permutations of length n converge to a normal distribution as n goes to infinity. We show that this remains true even if d is allowed to grow with n.

متن کامل

Inferences on the Generalized Variance under Normality

Generalized variance is applied for determination of dispersion in a multivariate population and is a successful measure for concentration of multivariate data. In this article, we consider constructing confidence interval and testing the hypotheses about generalized variance in a multivariate normal distribution and give a computational approach. Simulation studies are performed to compare thi...

متن کامل

Asymptotic Normality in Generalized Linear Mixed Models

Title of dissertation: ASYMPTOTIC NORMALITY IN GENERALIZED LINEAR MIXED MODELS Min Min Doctor of Philosophy, 2007 Dissertation directed by: Professor Paul J. Smith Statistics Program Department of Mathematics Generalized Linear Mixed Models (GLMMs) extend the framework of Generalized Linear Models (GLMs) by including random effects into the linear predictor. This will achieve two main goals of ...

متن کامل

Strong Normality and Generalized Copeland–erdős Numbers

We prove that an infinite class of Copeland-Erdős numbers is not strongly normal and provide the analogous result for Bugeaud’s Mahler-inspired extension of the Copeland-Erdős numbers. After the presentation of our results, we o↵er several open questions concerning normality and strong normality.

متن کامل

Asymptotic normality of posterior distributions for generalized linear mixed models

Generalized linear mixed models (GLMMs) are widely used in the analysis of non Gaussian repeated measurements such as clustered proportion and count data. The most commonly used approach for inference in these models is based on the Bayesian methods and Markov chain Monte Carlo (MCMC) sampling. However, the validity of Bayesian inferences can be seriously affected by the assumed model for the r...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Multivariate Analysis

سال: 1997

ISSN: 0047-259X

DOI: 10.1006/jmva.1996.1641