Search Results - "Wandji, Joseph Ngatchou"
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On classes of consistent tests for the Type I Pareto distribution based on a characterization involving order statistics
Published in Statistics (Berlin, DDR) (03-05-2024)“…We propose new classes of goodness-of-fit tests for the Pareto Type I distribution. These tests are based on a characterization of the Pareto distribution…”
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On change-points tests based on two-samples U-Statistics for weakly dependent observations
Published in Statistical papers (Berlin, Germany) (01-02-2022)“…We study change-points tests based on U -statistics for absolutely regular observations. Our method avoids some technical assumptions on the data and the…”
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Goodness-of-fit tests for multivariate stable distributions based on the empirical characteristic function
Published in Journal of multivariate analysis (01-09-2015)“…We consider goodness-of-fit testing for multivariate stable distributions. The proposed test statistics exploit a characterizing property of the characteristic…”
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Work-related asthma in France: recent trends for the period 2001–2009
Published in Occupational and environmental medicine (London, England) (01-06-2012)“…ObjectiveKnowledge on the time-course (trends) of work-related asthma (WRA) remains sparse. The aim of this study was to describe WRA trends in terms of…”
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A Cramér–von Mises test for a class of mean time dependent CHARN models with application to change-point detection
Published in Statistical inference for stochastic processes : an international journal devoted to time series analysis and the statistics of continuous time processes and dynamic systems (01-04-2024)“…We derive a Cramér–von Mises test for testing a class of time dependent coefficients Coditional Heteroscedastic AutoRegressive Non Linear (CHARN) models. The…”
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On a new goodness-of-fit test for the Rayleigh distribution based on a conditional expectation characterization
Published in Communications in statistics. Theory and methods (30-06-2022)“…We propose and study new goodness-of-fit tests for the Rayleigh distribution based on a characterization involving a conditional expectation. The asymptotic…”
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Testing a Class of Piece-Wise CHARN Models with Application to Change-Point Study
Published in Mathematics (Basel) (01-07-2024)“…We study a likelihood ratio test for testing the conditional mean of a class of piece-wise stationary CHARN models. We establish the locally asymptotically…”
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Weak convergence of nonparametric estimators of the multidimensional and multidimensional-multivariate renewal functions on Skorohod topology spaces
Published in Statistical inference for stochastic processes : an international journal devoted to time series analysis and the statistics of continuous time processes and dynamic systems (01-10-2022)“…This paper deals with the weak convergence of nonparametric estimators of the multidimensional and multidimensional-multivariate renewal functions on Skorohod…”
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On Choosing a Mixture Model for Clustering
Published in Journal of Data Science (2013)Get full text
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Change-Point Detection in the Volatility of Conditional Heteroscedastic Autoregressive Nonlinear Models
Published in Mathematics (Basel) (01-09-2023)“…This paper studies single change-point detection in the volatility of a class of parametric conditional heteroscedastic autoregressive nonlinear (CHARN)…”
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Testing for serial independence in vector autoregressive models
Published in Statistical papers (Berlin, Germany) (01-12-2018)“…We consider tests for serial independence of arbitrary finite order for the innovations in vector autoregressive models. The tests are expressed as L2-type…”
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Nonparametric Estimation of the Density Function of the Distribution of the Noise in CHARN Models
Published in Mathematics (Basel) (01-02-2022)“…This work is concerned with multivariate conditional heteroscedastic autoregressive nonlinear (CHARN) models with an unknown conditional mean function,…”
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Asymptotic inference in poverty indices: an empirical processes approach
Published in Communications in statistics. Theory and methods (18-06-2017)“…We derive an empirical poverty index containing most of those proposed in the literature. Then, we study its asymptotic behavior by using empirical processes…”
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A Cramér-von Mises test for symmetry of the error distribution in asymptotically stationary stochastic models
Published in Statistical inference for stochastic processes : an international journal devoted to time series analysis and the statistics of continuous time processes and dynamic systems (01-10-2013)“…This paper has to do with a Cramér-von Mises test for symmetry of the error distribution in a class of absolutely regular and non-necessarily stationary…”
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Asymptotic behaviour of binned kernel density estimators for locally non-stationary random fields
Published in Journal of nonparametric statistics (02-04-2016)“…We investigate the asymptotic behaviour of binned kernel density estimators for dependent and locally non-stationary random fields converging to stationary…”
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On the Zero-Inflated Count Models with Application to Modelling Annual Trends in Incidences of Some Occupational Allergic Diseases in France
Published in Journal of Data Science (01-10-2011)Get full text
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Detecting weak changes in the mean of a class of nonlinear heteroscedastic models
Published in Communications in statistics. Simulation and computation (21-08-2023)Get full text
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On Testing for the Nullity of Some Skewness Coefficients
Published in International statistical review (01-04-2006)“…Three tests for the skewness of an unknown distribution are derived for iid data. They are based on suitable normalization of estimators of some usual skewness…”
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A Non-parametric Test for Generalized First-order Autoregressive Models
Published in Scandinavian journal of statistics (01-06-1997)“…We derive a non-parametric test for testing the presence of$V(X_{i},\epsilon _{i})$in the non-parametric first-order autoregressive…”
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On the Zero-Inflated Count Models with Application to Modelling Annual Trends in Incidences of Some Occupational Allergic Diseases in France
Published in Journal of data science (06-04-2021)Get full text
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