Search Results - subject:"Kernel Density Estimation"

Rainbow plots, Bagplots and Boxplots for Functional Data

Hyndman, Rob J.; Shang, Han Lin - Department of Econometrics and Business Statistics, … - 2008

We propose new tools for visualizing large numbers of functional data in the form of smooth curves or surfaces. The proposed tools include functional versions of the bagplot and boxplot, and make use of the first two robust principal component scores, Tukey's data depth and highest density...

Persistent link: https://www.econbiz.de/10005427617

How the Distribution of After-Tax Income Changed Over the 1990s Business Cycle: A Comparison of the United States, Great Britain, Germany and Japan

Burkhauser, Richard V.; Rovba, Ludmila; Oshio, Takashi - In: Journal of Income Distribution 17 (2008) 1, pp. 87-109

Using kernel density estimation we find that over the 1990s business cycles in the United States and Great Britain the …

Persistent link: https://www.econbiz.de/10010820090

Measuring regional public health provision

Halkos, George; Tzeremes, Nickolaos - Volkswirtschaftliche Fakultät, … - 2008

This paper using Data Envelopment Analysis (DEA) evaluates the performance of public health services of the Greek prefectures. The efficiency levels of the Greek prefectures are compared and analyzed in a regional context. With the use of bootstrap techniques and conditional full frontier...

Persistent link: https://www.econbiz.de/10008534257

Estimation of Dynamic Models with Nonparametric Simulated Maximum Likelihood

Kristensen, Dennis; Shin, Yongseok - School of Economics and Management, University of Aarhus - 2008

We propose a simulated maximum likelihood estimator for dynamic models based on non-parametric kernel methods. Our method is designed for models without latent dynamics from which one can simulate observations but cannot obtain a closed-form representation of the likelihood function. Using the...

Persistent link: https://www.econbiz.de/10005114113

Nonparametric kernel density estimation near the boundary

Malec, Peter; Schienle, Melanie - In: Computational Statistics & Data Analysis 72 (2014) C, pp. 57-76

Standard fixed symmetric kernel-type density estimators are known to encounter problems for positive random variables with a large probability mass close to zero. It is shown that, in such settings, alternatives of asymmetric gamma kernel estimators are superior, but also differ in asymptotic...

Persistent link: https://www.econbiz.de/10010730216

Kernel density estimation on grouped data: the case of poverty assessment

Minoiu, Camelia; Reddy, Sanjay - In: Journal of Economic Inequality 12 (2014) 2, pp. 163-189

techniques, in particular kernel density estimation, in estimating poverty from grouped data. Using Monte Carlo simulations, we … show that kernel density estimation gives rise to nontrivial biases in estimated poverty levels that depend on the … estimates to changes in the bandwidth and show that they vary widely with it. A comparison of kernel density estimation with …

Persistent link: https://www.econbiz.de/10010866741

A statistical approach for sub-hourly solar radiation reconstruction

Zhang, Xiongwen - In: Renewable Energy 71 (2014) C, pp. 307-314

This paper proposes a computational-statistics based approach for solar radiation reconstruction at sub-hourly intervals. A dimensionless form of stochastic variable, V, which is defined as the difference between the theoretical global solar radiation in clear-sky conditions and the actual solar...

Persistent link: https://www.econbiz.de/10010906476

Analysis of productivity, efficiency and technological changes in hospital services in Ontario: How does case-mix matter?

Chowdhury, Hedayet; Zelenyuk, Valentin; Laporte, Audrey; … - In: International Journal of Production Economics 150 (2014) C, pp. 74-82

In this paper we compare productivity, efficiency and technological changes with and without case-mix as output categories using panel data on Ontario hospitals for the period 2002–2006. We use the Malmquist Productivity Index (MPI), Data Envelopment Analysis (DEA), and non-parametric density...

Persistent link: https://www.econbiz.de/10010753137

On the asymptotic normality of kernel density estimators for causal linear random fields

Wang, Yizao; Woodroofe, Michael - In: Journal of Multivariate Analysis 123 (2014) C, pp. 201-213

We establish sufficient conditions for the asymptotic normality of kernel density estimators applied to causal linear random fields, by m-dependent approximation. Our conditions on the coefficients of linear random fields are weaker than the known results, although our assumption on the...

Persistent link: https://www.econbiz.de/10010718993

Analysis of productivity, efficiency and technological changes in hospital services in Ontario : how does case-mix matter?

Chowdhury, Hedayet; Zelenyuk, Valentin; Laporte, Audrey; … - In: International journal of production economics 150 (2014), pp. 74-82

Persistent link: https://www.econbiz.de/10010337594