Zobrazeno 1 - 10
of 356
pro vyhledávání: '"Charles C Taylor"'
Autor:
Elder, John F.
Publikováno v:
Journal of the American Statistical Association, 1996 Mar 01. 91(433), 436-438.
Externí odkaz:
https://www.jstor.org/stable/2291432
Autor:
Turmon, Michael J.
Publikováno v:
Journal of the American Statistical Association, 1998 Jun 01. 93(442), 833-834.
Externí odkaz:
https://www.jstor.org/stable/2670132
Publikováno v:
Statistical Methods & Applications.
We study the problem of estimating a regression function when the predictor and/or the response are circular random variables in the presence of measurement errors. We propose estimators whose weight functions are deconvolution kernels defined accord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67a5ddc4df75c34331e676b495cee48f
https://doi.org/10.1007/s10260-023-00687-0
https://doi.org/10.1007/s10260-023-00687-0
Publikováno v:
Journal of Statistical Computation and Simulation. 91:2289-2306
The package implements nonparametric (smooth) regression for spherical data in , and is freely available from the Comprehensive Archive Network (CRAN), licensed under the MIT License. It can be use...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::270b7e0422e32c02b10b3fecd4e74acc
https://doi.org/10.1080/00949655.2021.1890735
https://doi.org/10.1080/00949655.2021.1890735
Publikováno v:
J Appl Stat
We develop a new method that combines a decision tree with a wavelet transform to forecast time series data with spatial spillover effects. The method can not only improve prediction but also give good interpretability of the time series mechanism. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d3e48ec1c09779558332958a62f626a
https://europepmc.org/articles/PMC10291940/
https://europepmc.org/articles/PMC10291940/
Publikováno v:
Journal of Statistical Computation and Simulation. 90:1965-1981
Two-sample tests are probably the most commonly used tests in statistics. These tests generally address one aspect of the samples' distribution, such as mean or variance. When the null hypothesis is that two distributions are equal, the Anderson–Da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ce69d57cc508ce4a6981fdfa26ae3e9
https://doi.org/10.1080/00949655.2020.1754820
https://doi.org/10.1080/00949655.2020.1754820
Until now the problem of estimating circular densities when data are observed with errors has been mainly treated by Fourier series methods. We propose kernel-based estimators exhibiting simple construction and easy implementation. Specifically, we c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::310c823f796d299e7297f2e7a0b3ebfc
Publikováno v:
Advances in Data Analysis and Classification. 15:5-36
In forecasting, we often require interval forecasts instead of just a specific point forecast. To track streaming data effectively, this interval forecast should reliably cover the observed data and yet be as narrow as possible. To achieve this, we p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16d9102131e8c5d8531ecd94a1f41e19
https://doi.org/10.1007/s11634-019-00382-7
https://doi.org/10.1007/s11634-019-00382-7
Publikováno v:
Biotechnol Bioeng
Breast cancer cells experience a range of shear stresses in the tumor microenvironment (TME). However most current in vitro three-dimensional (3D) models fail to systematically probe the effects of this biophysical stimuli on cancer cell metastasis,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c7a9d919aad26441b4c9fb760ffee9d
https://doi.org/10.1002/bit.27119
https://doi.org/10.1002/bit.27119
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030573058
We consider the problem of nonparametrically estimating a circular density from data contaminated by angular measurement errors. Specifically, we obtain a kernel-type estimator with weight functions that are reminiscent of deconvolution kernels. Here
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::154b31f6ca0604865d5eab56b284ff24
https://doi.org/10.1007/978-3-030-57306-5_17
https://doi.org/10.1007/978-3-030-57306-5_17