Results 71 to 80 of about 560,735 (220)
Bivariate network meta‐analysis for surrogate endpoint evaluation [PDF]
Statistics in Medicine, 2019 Surrogate endpoints are very important in regulatory decision making in healthcare, in particular if they can be measured early compared to the long‐term final clinical outcome and act as good predictors of clinical benefit. Bivariate meta‐analysis methods can be used to evaluate surrogate endpoints and to predict the treatment effect on the final ...
Sylwia Bujkiewicz +6 more
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Bivariate Rainfall and Runoff Analysis Using Entropy and Copula Theories
Entropy, 2012 Multivariate hydrologic frequency analysis has been widely studied using: (1) commonly known joint distributions or copula functions with the assumption of univariate variables being independently identically distributed (I.I.D.) random variables; or (2)
Lan Zhang, Vijay P. Singh
doaj +1 more source
Statistical modeling of space shuttle environmental data [PDF]
Statistical models which use a class of bivariate gamma distribution are examined. Topics discussed include: (1) the ratio of positively correlated gamma varieties; (2) a method to determine if unequal shape parameters are necessary in bivariate gamma ...
Brewer, D. W., Tubbs, J. D.
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Prevalence of exclusive breastfeeding and its determinants in first 6 months of life: A prospective study [PDF]
, 2009 Background: Exclusive breastfeeding for first 6 months of life is recommended under Infant and Young Child Feeding practices in India. The objective of present study was to estimate the prevalence of exclusive breastfeeding during first 6 months of life ...
Amin, Chikitsa D +2 more
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Objective Bayesian analysis for the multivariate skew-t model
, 2017 We perform a Bayesian analysis of the p-variate skew-t model, providing a new parameterization, a set of non-informative priors and a sampler specifically designed to explore the posterior density of the model parameters.
Liseo, Brunero, Parisi, Antonio
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Government expenditure and economic growth: Evidence from trivariate causality testing [PDF]
This paper seeks to examine if the relative size of government (measured as the share of total expenditure in GNP can be determined to Granger cause the rate of economic growth, or if the rate of economic growth can be determined to Granger cause the ...
George Vamvoukas, John Loizides
core
A New Approach to Detect Spurious Regressions using Wavelets [PDF]
In this paper, we propose the use of wavelet covariance and correlation to detect spurious regression. Based on Monte Carlo simulation results and experiments with real exchange rate data, it is shown that the wavelet approach is able to detect spurious ...
Chee Kian Leong, Weihong Huang
core
Entropy, 2017 Copula functions have been extensively used to describe the joint behaviors of extreme hydrological events and to analyze hydrological risk. Advanced marginal distribution inference, for example, the maximum entropy theory, is particularly beneficial for
Aijun Guo +4 more
doaj +1 more source
Determinants of Crop Choices by Bangladeshi Farmers: A Bivariate Probit Analysis [PDF]
Using a bivariate probit model, the study jointly determines the factors underlying the probability of Bangladeshi farmers adopting a diversified cropping system and/or modern rice technology.
Sanzidur Rahman
core
Bivariate complexity analysis of Almost Forest Deletion
Theoretical Computer Science, 2015 In this paper we study a generalization of classic Feedback Vertex Set problem in the realm of multivariate complexity analysis. We say that a graph F is an l-forest if we can delete at most l edges from F to get a forest. That is, F is at most l edges away from being a forest.
Ashutosh Rai, Saket Saurabh
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