نتایج جستجو برای: using nonparametric methods four non

تعداد نتایج: 5655880  

Journal: :Korean Journal of Applied Statistics 2013

2007
Daniel L. Millimet Jeffrey S. Racine

The impact of environmental stringency on capital flows remains a hotly contested issue. Moreover, existing parametric estimates using counts of new foreign-owned manufacturing plant births provide counter-intuitive results: pollution abatement costs are only found to have an impact in non-pollution-intensive sectors. Applying recently developed nonparametric count data methods, we re-visit thi...

Journal: :Northeastern Journal of Agricultural and Resource Economics 1992

Journal: :Journal of the American Statistical Association 1999

Background sperm selection is generally used to describe methods for separation of spermatozoa for in-vitro-assisted reproduction. Few studies reported relation in vivo fertility and semen parameters after selection of fertile spermatozoa; hence, our research attempt to assess different semen parameters after post-thaw (PT) or after selecting sperm sample (SSp), using density gradient separatio...

Journal: :Statistics and Computing 2017
Jim E. Griffin

Normalized random measures with independent increments are a general, tractable class of nonparametric prior. This paper describes sequential Monte Carlo methods for both conjugate and non-conjugate nonparametric mixture models with these priors. A simulation study is used to compare the efficiency of the different algorithms for density estimation. The methods are further illustrated by applic...

2017
Malamine Gassama Jacques Bénichou Laureen Dartois Anne C. M. Thiébaut

BACKGROUND The attributable risk (AR) measures the proportion of disease cases that can be attributed to an exposure in the population. Several definitions and estimation methods have been proposed for survival data. METHODS Using simulations, we compared four methods for estimating AR defined in terms of survival functions: two nonparametric methods based on Kaplan-Meier's estimator, one sem...

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