We present a statistical perspective on boosting. Special emphasis is given to estimating potentially complex parametric or nonparametric models, including generalized linear and additive models as well as regression models for survival analysis. Concepts of degrees of freedom and corresponding Akaike or Bayesian information criteria, particularly useful for regularization and variable selectio...

In this paper I outline the standard methods of distance sampling and how they are used to obtain estimates of density and abundance for species of interest. I then develop these methods following the approach of Hedley (2000) whereby waiting distances between detections are modelled to produce a density map of the area of interest. In doing so Standard distance sampling, multi-covariate distan...

We study the Cox models with semiparametric relative risk, which can be partially linear with one nonparametric component, or multiple additive or nonadditive nonparametric components. A penalized partial likelihood procedure is proposed to simultaneously estimate the parameters and select variables for both the parametric and the nonparametric parts. Two penalties are applied sequentially. The...

We consider the problem of evaluating designs for a small-sample two-arm randomized experiment using power one-sided randomization test as criterion. Our evaluation assumes linear response in one observed covariate, an unobserved component and additive treatment effect where model's randomness is due to different allocations. It well-known that depends on allocations’ imbalance covariate. show ...

Count data arise in numerous fields of interest. Analysis of these data frequently require distributional assumptions. Although the graphical display of a fitted model is straightforward in the univariate scenario, this becomes more complex if covariate information needs to be included into the model. Stratification is one way to proceed, but has its limitations if the covariate has many levels...

Three estimators are proposed for the regression coefficients in Poisson regression model which the covariates are measured with error. The measurement errors are assumed to be normally distributed, while the correlation coefficient between the latent covariate and the observe covariate is assumed to be known. The adjusted estimator is obtained by adjusting the naive estimator without consideri...

We describe a design for cancer phase I clinical trials that takes into account patients heterogeneity thought to be related to treatment susceptibility. The goal is to estimate the maximum tolerated dose MTD given patient’s specific dichotomous covariate value. The design is Bayesian adaptive and is an extension of escalation with overdose control EWOC . We will assess the performance of this ...

suitability analysis is a prerequisite for sustainable agricultural production and it involves evaluation of the environmental parameters. the development and creation of appropriate points for this land use without considering environmental capability will result in the appearance of several ecological, economic, and social problems. the multi-criteria decision making (mcdm) models were used f...