Results 71 to 80 of about 12,193,766 (206)
Semi-parametric Models for Satisfaction with Income [PDF]
An overview is presented of some parametric and semi-parametric models, estimators, and specification tests that can be used to analyze ordered response variables.In particular, limited dependent variable models that generalize or-dered probit are ...
Bellemare, C. +2 more
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BMC Public HealthBackground Lockdowns have been implemented to limit the number of hospitalisations and deaths during the first wave of 2019 coronavirus disease. These measures may have affected differently death characteristics, such age and sex.
Jonathan Roux +4 more
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Non-parametric regression for spatially dependent data with wavelets [PDF]
Statistics, 2018 We study non-parametric regression estimates for random fields. The data satisfies certain strong mixing conditions and is defined on the regular $N$-dimensional lattice structure. We show consistency and obtain rates of convergence. The rates are optimal modulo a logarithmic factor in some cases.
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Non-parametric production analysis under alternative price conditions. [PDF]
The literature on non-parametric production analysis has formulated tests for profit maximizing behavior that do not require a parametric specification of technology.
Kuosmanen, T, Cherchye, Laurens, Post, T
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Regression Modeling for Spherical Data via Non-parametric and Least Square Methods
پژوهشهای ریاضی, 2019 Introduction Statistical analysis of the data on the Earth's surface was a favorite subject among many researchers. Such data can be related to animal's migration from a region to another position.
mosa golalizadeh, m moghimbeigy
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Confidence regions, non-parametric regression
, 2007 In this paper we offer a unified approach to the problem of nonparametric regression on the unit interval. It is based on a universal, honest and non-asymptotic confidence region An which is defined by a set of linear inequalities involving the values of the functions at the design points. Interest will typically centre on certain simplest functions in
Davies, P. L., Kovac, A., Meise, M.
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Simultaneous non-parametric regression in RADWT dictionaries
, 2018 A new technique for nonparametric regression of multichannel signals is presented. The technique is based on the use of the Rational-Dilation Wavelet Transform (RADWT), equipped with a tunable Q-factor able to provide sparse representations of functions ...
De Canditiis Daniela
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Nature Communications, 2019 Longitudinal data are common in biomedical research, but their analysis is often challenging. Here, the authors present an additive Gaussian process regression model specifically designed for statistical analysis of longitudinal experimental data.
Lu Cheng +6 more
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Estimating individual tree growth with the k-nearest neighbour and k-Most Similar Neighbour methods
Silva Fennica, 2001 The purpose of this study was to examine the use of non-parametric methods in estimating tree level growth models. In non-parametric methods the growth of a tree is predicted as a weighted average of the values of neighbouring observations.
Sironen, Susanna +3 more
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One for all and all for one: regression checks with many regressors [PDF]
We develop a novel approach to build checks of parametric regression models when many regressors are present, based on a class of sufficiently rich semiparametric alternatives, namely single-index models.
Patilea, Valentin, Lavergne, Pascal
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