Results 51 to 60 of about 219,896 (196)
The Generalized Integer Gamma Distribution—A Basis for Distributions in Multivariate Statistics
Journal of Multivariate Analysis, 1998 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Approximation multivariate distribution of main indices of tehran stock exchange with pair-copula [PDF]
, 2013 The multivariate distribution of five main indices of Tehran stock exchange is approximated using a pair-copula model. A vine graphical model is used to produce an n-dimensional copula.
Parham, Gholamali +10 more
core +1 more source
Treatment of Multivariate Outliers in Incomplete Business Survey Data
Austrian Journal of Statistics, 2016 The distribution of multivariate quantitative survey data usually is not normal. Skewed and semi-continuous distributions occur often. In addition, missing values and non-response is common.
Marc Bill, Beat Hulliger
doaj +1 more source
Limiting Multivariate Distributions of Intermediate Order Statistics
The Annals of Probability, 1985 Let Z(m,n) represent the mth largest (reverse) order statistic in a random sample of size n from a distribution F. Further let \(m=m(n)\) be an intermediate sequence of (n) in the sense that m/n\(\to 0\) and \(m\to \infty\) as \(n\to \infty\).
openaire +2 more sources
Robust multivariate nonparametric tests for detection of two-sample location shift in clinical trials. [PDF]
PLoS ONE, 2018 This article presents and investigates performance of a series of robust multivariate nonparametric tests for detection of location shift between two multivariate samples in randomized controlled trials.
Xuejun Jiang +4 more
doaj +1 more source
Asymptotic Distributions of Multivariate Rank Order Statistics
The Annals of Statistics, 1976 By means of a general weak convergence theorem some invariance principles are proven for the multivariate sequential empirical process and for the multivariate rank order process w.r.t. stronger metrics than the generalized Skorohod metric. The underlying random variables are neither assumed to be independent nor to be stationary.
openaire +3 more sources
Multivariate extremes at work for portfolio risk measurement [PDF]
, 2002 This paper proposes a methodology to provide risk measures for portfolios during extreme events. The approach is based on splitting the multivariate extreme value distribution of the assets of the portfolio into two parts: the distributions of each ...
Bouyé, Eric
core
Power Estimation in Multivariate Analysis of Variance [PDF]
Tutorials in Quantitative Methods for Psychology, 2007 Power is often overlooked in designing multivariate studies for the simple reason that it is believed to be too complicated. In this paper, it is shown that power estimation in multivariate analysis of variance (MANOVA) can be approximated using a F ...
Jean François Allaire, Sylvain Chartier
doaj
JBMR Plus, 2021 Osteoporosis and osteopenia are diagnosed most commonly by evaluating the lowest T‐score of BMD measurements, typically taken at three sites: the L1‐L4 lumbar spine, femoral neck, and total hip.
Ronnie Sebro, S Sharon Ashok
doaj +1 more source
A multivariate statistical framework for the analysis of software effort phase distribution
Information and Software Technology, 2015 ContextIn software project management, the distribution of resources to various project activities is one of the most challenging problems since it affects team productivity, product quality and project constraints related to budget and scheduling. ObjectiveThe study aims to (a) reveal the high complexity of modelling the effort usage proportion in ...
Panagiota Chatzipetrou +3 more
openaire +4 more sources