The paper presents applications of a class of semi-parametric models called generalized additive models (GAMs) to several business and economic datasets. Applications include analysis of wage-education relationship, brand choice, and number of trips to a doctor’s office. The dependent variable may be continuous, categorical or count. These semiparametric models are flexible and robust extension...

Generalized additive models are an effective regression tool, popular in the statistics literature, that provides an automatic extension of traditional linear models to nonlinear systems. We present a distributed algorithm for fitting generalized additive models, based on the alternating direction method of multipliers (ADMM). In our algorithm the component functions of the model are fit indepe...

Nonparametric additive modeling is a fundamental tool for statistical data analysis which allows flexible functional forms for conditional mean or quantile functions but avoids the curse of dimensionality for fully nonparametric methods induced by high-dimensional covariates. This paper proposes empirical likelihood-based inference methods for unknown functions in three types of nonparametric a...

High titen of antibodies agaiast Anopheles gambiae midguts were produced in New Znaland rabbits to identiff midgut targets for an antimosquito vaccine. The serum from one of 8 rabbits (designated R2B6) killed 71.60lo (Abbott's adjusted % mortality\ of An. gambiaewithtnT days. Mosquitoes ingesting R2B6 serum were unable to absorb their blood meal nutrients, resulting in reduced oviposition and e...

Recombination of λ red gam phage in recD mutants is unaffected by inactivation of RecJ exonuclease. Since nucleases play redundant roles in E. coli, we inactivated several exonucleases in a recD mutant and discovered that 5’-3’ exonuclease activity of RecJ and exonuclease VII is essential for λ recombination, whereas exonucleases of 3’-5’ polarity are dispensable. The implications of the presen...

Title Distributions to be used for GAMLSS modelling. Description This package contains the distributions for GAMLSS modelling.

Additive models with backfitting algorithms are popular multivariate nonparametric fitting techniques. However, the inferences of the models have not been very well developed, due partially to the complexity of the backfitting estimators. There are few tools available to answer some important and frequently asked questions, such as whether a specific additive component is significant or admits ...