Aligned Rank Statistics for Repeated Measurement Models with Orthonormal Design, Employing a Chernoff-Savage Approach [PDF]
AMS classifications: 62G10, 62G20; 62J05.aligned rank statistics;orthonormal design matrix;repeated measurements;Chernoff-Savage ...
Einmahl, J.H.J. +3 more
core +1 more source
Pattern classification using polynomial and linear regression [PDF]
In this paper we will classify patterns using an algorithm analogous to the k-means algorithm and the regression polynomial of the degree k (for instance, if k=1 we obtain the regression line, and if k=2 we obtain the regression parable), and the ...
Ciuiu, Daniel
core +1 more source
Model selection in regression under structural constraints
The paper considers model selection in regression under the additional structural constraints on admissible models where the number of potential predictors might be even larger than the available sample size.
Abramovich, Felix, Grinshtein, Vadim
core +1 more source
Average group effect of strongly correlated predictor variables is estimable
It is well known that individual parameters of strongly correlated predictor variables in a linear model cannot be accurately estimated by the least squares regression due to multicollinearity generated by such variables.
Tsao, Min
core
Inference for covariate adjusted regression via varying coefficient models
We consider covariate adjusted regression (CAR), a regression method for situations where predictors and response are observed after being distorted by a multiplicative factor.
Müller, Hans-Georg, Şentürk, Damla
core +1 more source
High-dimensional variable selection
This paper explores the following question: what kind of statistical guarantees can be given when doing variable selection in high-dimensional models? In particular, we look at the error rates and power of some multi-stage regression methods.
Roeder, Kathryn, Wasserman, Larry
core +1 more source
Methodology and convergence rates for functional linear regression
In functional linear regression, the slope ``parameter'' is a function. Therefore, in a nonparametric context, it is determined by an infinite number of unknowns. Its estimation involves solving an ill-posed problem and has points of contact with a range
Hall, Peter, Horowitz, Joel L.
core +2 more sources
Density of the f-statistic in the linear model with arbitrarily normal distributed errors [PDF]
Estimation;mathematische ...
Genugten, B.B. van der
core +1 more source
Blackjack in Holland Casino's: Basic, optimal and winning strategies [PDF]
This paper considers the cardgame Blackjack according to the rules of Holland Casino's in the Netherlands. Expected gains of strategies are derived with simulation and also with analytic tools.
Genugten, B.B. van der
core +1 more source
Next-Generation Sequencing Data-Based Association Testing of a Group of Genetic Markers for Complex Responses Using a Generalized Linear Model Framework. [PDF]
Xu Z, Yan S, Wu C, Duan Q, Chen S, Li Y.
europepmc +1 more source

