Sensitivity analysis in Data Envelopment Analysis (DEA) is studied in this paper for the Charnes-Cooper-Rhodes (CCR) ratio model and for the additive model. Different cases of additive or proportionate changes of inputs or/and of outputs of an efficient Decision Making Unit (DMU) according to the CCR model or according to the additive model are considered. Sufficient conditions for an efficient...

This paper describes an estimator of the additive components of a nonparametric additive model with an unknown link function. When the additive components and link function are twice differentiable with sufficiently smooth second derivatives, the estimator is asymptotically normally distributed with a rate of convergence in probability of . This is true regardless of the (finite) dimension of t...

Nano-microplankton biomass, mesozooplankton biomass and hydrographic features were measured with mesoscale spatial resolution during 3 surveys in the Bay of Biscay between March and June 2004. Regions of high plankton biomass were associated with mesoscale physical structures. Generalized additive models (GAMs) based upon surface salinity, surface temperature and stratification of the water col...

In the past, ecologists have been debating about the relative importance of density-dependent versus density-independent factors in determining population dynamics. Between 1989 and 1992, an experiment was conducted at the University of Reading for studying how both densityindependent and density-dependent factors affect greenbottle blowfly population dynamic structure. See Daniels (1994). Taki...

This paper describes the use of the GAM procedure for fitting generalized additive models (Hastie and Tibshirani, 1990). PROC GAM, production in Release 8.2, provides an array of powerful tools for data analysis, incorporating nonparametric regression and smoothing techniques as well as generalized distributional modeling. Compared with other regression procedures such as PROC REG and PROC GLM,...

We consider efficient estimation of the Euclidean parameters in a generalized partially linear additive models for longitudinal/clustered data when multiple covariates need to be modeled nonparametrically, and propose an estimation procedure based on a spline approximation of the nonparametric part of the model and the generalized estimating equations (GEE). Although the model in consideration ...

This paper proposes a novel method to transplant emotions to a new speaker in statistical speech synthesis based on an emotion additive model (EAM), which represents the differences between emotional and neutral voices. This method trains EAM using neutral and emotional speech data of multiple speakers and applies it to a neutral voice model of a new speaker (target). There is some degradation ...