Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Yadolah Dodge"'
Autor:
Valentin Rousson, Yadolah Dodge
Publikováno v:
Direction Dependence in Statistical Modeling. :1-6
Autor:
Valentin Rousson, Yadolah Dodge
Publikováno v:
Statistics and Causality
Autor:
Joe Whittaker, Yadolah Dodge
Partial least squares regression (PLSR) is a method of finding a reliable predictor of the response variable when there are more regressors than observations. It does so by eliciting a small number of components from the regressors that are inherentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41a0597a6c1fa62d4c4947a9f701d04c
http://doc.rero.ch/record/309687/files/184_2008_Article_177.pdf
http://doc.rero.ch/record/309687/files/184_2008_Article_177.pdf
Autor:
Yadolah Dodge, Iraj Yadegari
Under the assumption of the existence of linear relationship between two random variables, new formulas are introduced to express the coefficient of correlation. One of these formulas, the fourth power of the correlation coefficient is used to determ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::537cfdc7dc6f652735b4056da0ad5a03
http://doc.rero.ch/record/310684/files/184_2009_Article_273.pdf
http://doc.rero.ch/record/310684/files/184_2009_Article_273.pdf
Autor:
Pirmin Lemburger, Yadolah Dodge
For a multivariate random variable X and probability density f, we define a central parameter μ * as the unique vector which minimizes E[∥X - μ∥ q p ]. When q = 2, we call μ * the Lp-mean of the distribution f. Taking a sample X 1 ,..., X n of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9ea6b0032c6ba732843b082430a1e6e
http://doc.rero.ch/record/313030/files/357_2004_Article_9.pdf
http://doc.rero.ch/record/313030/files/357_2004_Article_9.pdf
Autor:
Thomas Dierks, Vesna Jelic, Lars-Olof Wahlund, Christoph Lehmann, Yadolah Dodge, Thomas Koenig, Roy E. John, Leslie S. Prichep
Publikováno v:
Journal of Neuroscience Methods. 161:342-350
The early detection of subjects with probable Alzheimer's disease (AD) is crucial for effective appliance of treatment strategies. Here we explored the ability of a multitude of linear and non-linear classification algorithms to discriminate between
Autor:
Giuseppe Melfi, Yadolah Dodge
Publikováno v:
Journal of Statistical Computation and Simulation. 75:189-197
Failure of pseudo-random number generators in producing reliable random numbers as described by Knuth (Knuth, D.E., 1981, The Art of Computer Programming, Vol. 2, Addison-Wesley) gave birth to a new generation of random number generators such as bill
Autor:
Yadolah Dodge, Joe Whittaker
The Role of the Computer in Statistics David Cox Nuffield College, Oxford OXIINF, U.K. A classification of statistical problems via their computational demands hinges on four components (I) the amount and complexity of the data, (il) the specificity
Autor:
Yadolah Dodge, Valentin Rousson
Publikováno v:
The American Statistician. 55:51-54
Although correlation is a symmetric concept of two variables, this is not the case for regression where we distinguish a response from an explanatory variable. This article presents several ways of expressing the correlation coefficient as an asymmet
Autor:
Joe Whittaker, Yadolah Dodge
Publikováno v:
Communications in Statistics - Theory and Methods. 29:1945-1955
Fitting a linear regression for a response variable by minimising the sum of absolute deviations, L1 regression, may be viewed as a maximum likelihood procedure applied to the Laplace distribution. An interesting bivariate case is where the condition