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  • 1
    Electronic Resource
    Electronic Resource
    Bandwidth Selection in Density Estimation with Truncated and Censored Data (1999)
    Springer
    Annals of the Institute of Statistical Mathematics 51 (1999), S. 51-70 
    Details
    ISSN: 1572-9052
    Keywords: LTRC model ; almost sure representation ; kernel estimator
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract A plug-in type bandwidth selector is presented for density estimation with truncated and censored data. It is based on a representation of the MISE function obtained in the paper. Rate of convergence and limit distribution are derived for this selector. A bootstrap method is introduced to estimate the MISE whose minimizer is an alternative bandwidth selector. A simulation study was carried out to assess the behavior with small samples. This methodology is applied to a real-data problem consisting of reporting delay of AIDS cases. The almost sure representation of the product-limit estimator is a key tool in our proofs.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1003879001416
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Semi-parametric statistical approaches for space-time process prediction (1998)
    Springer
    Environmental and ecological statistics 5 (1998), S. 297-316 
    Details
    ISSN: 1573-3009
    Keywords: ARMA model ; estimation ; spatial interpolation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract The problem of estimation and prediction of a spatial-temporal stochastic process, observed at regular times and irregularly in space, is considered. A mixed formulation involving a non- parametric component, accounting for a deterministic trend and the effect of exogenous variables, and a parametric component representing the purely spatio-temporal random variation is proposed. Correspondingly, a two-step procedure, first addressing the estimation of the non- parametric component, and then the estimation of the parametric component is developed from the residual series obtained, with spatial-temporal prediction being performed in terms of suitable spatial interpolation of the temporal variation structure. The proposed model formula-tion, together with the estimation and prediction procedure, are applied using a Gaussian ARMA structure for temporal modelling to space-time forecasting from real data of air pollution concentration levels in the region surrounding a power station in northwest Spain.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1009670920927
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Multivariate statistical analysis of precipitation chemistry in northwestern Spain (1993)
    Springer
    Water, air & soil pollution 69 (1993), S. 37-55 
    Details
    ISSN: 1573-2932
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract 149 samples of rainwater were collected in the proximity of a power station in northwestern Spain at three rainwater monitoring stations. We analyze the resulting data using multivariate statistical techniques. Firstly, the Principal Component Analysis shows that there are three main sources of pollution in the area (a marine source, a rural source and an acid source). The impact from pollution from these sources on the immediate environment of the stations is studied using Factorial Discriminant Analysis.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00478346
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    Paper (German National Licenses)
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  • 4
    Electronic Resource
    Electronic Resource
    Dependence between fusion temperatures and chemical components of a certain type of coal using classical, non-parametric and bootstrap techniques (1990)
    New York, NY : Wiley-Blackwell
    Journal of Chemometrics 4 (1990), S. 429-439 
    Details
    ISSN: 0886-9383
    Keywords: Principal components ; Multiple and stepwise regression ; Non-parametric density and regression estimation ; Bootstrap inference ; Canonical correlation ; PLS regression ; Chemistry ; Analytical Chemistry and Spectroscopy
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Notes: A statistical study of the dependence between various critical fusion temperatures of a certain kind of coal and its chemical components is carried out. As well as using classical dependence techniques (multiple, stepwise and PLS regression, principal components, canonical correlation, etc.) together with the corresponding inference on the parameters of interest, non-parametric regression and bootstrap inference are also performed.
    Additional Material: 3 Ill.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1002/cem.1180040606
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    Paper (German National Licenses)
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