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Distribution-free exponentially weighted moving average control charts for monitoring unknown location
Graham, M.A.; Mukherjee, A.; Chakraborti, S. - In: Computational Statistics & Data Analysis 56 (2012) 8, pp. 2539-2561
Distribution-free (nonparametric) control charts provide a robust alternative to a data analyst when there is lack of … continuous distribution. The nonparametric EWMA chart combines the advantages of a nonparametric control chart (known and robust … knowledge about the underlying distribution. A two-sided nonparametric Phase II exponentially weighted moving average (EWMA …
Persistent link: https://www.econbiz.de/10010577731
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On Estimation and Inference under Order Restrictions.
Park, Yong Seok - 2011
constrained nonparametric maximum likelihood estimator (C-NPMLE) of the survivor functions in one- and two-sample settings …
Persistent link: https://www.econbiz.de/10009482960
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Kernel-Smoothed Conditional Quantiles of Correlated Bivariate Discrete Data
de Gooijer, Jan G.; Yuan, Ao - 2011
from this basic requirement by presenting an algorithm for nonparametric estimation of conditional quantiles when both the … for untransformed discrete response data and one for rank-transformed response data. We establish asymptotic properties of …
Persistent link: https://www.econbiz.de/10010325868
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Kernel-Smoothed Conditional Quantiles of Correlated Bivariate Discrete Data
Gooijer, Jan G. de; Yuan, Ao - Tinbergen Institute - 2011
from this basic requirement by presenting an algorithm for nonparametric estimation of conditional quantiles when both the … for untransformed discrete response data and one for rank-transformed response data. We establish asymptotic properties of …
Persistent link: https://www.econbiz.de/10008838604
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Kernel-Smoothed Conditional Quantiles of Correlated Bivariate Discrete Data
Gooijer, Jan G. de; Yuan, Ao - Tinbergen Instituut - 2011
from this basic requirement by presenting an algorithm for nonparametric estimation of conditional quantiles when both the … for untransformed discrete response data and one for rank-transformed response data. We establish asymptotic properties of …
Persistent link: https://www.econbiz.de/10011255547
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Kernel-smoothed conditional quantiles of correlated bivariate discrete data
Gooijer, Jan G. de; Yuan, Ao - 2011
from this basic requirement by presenting an algorithm for nonparametric estimation of conditional quantiles when both the … for untransformed discrete response data and one for rank-transformed response data. We establish asymptotic properties of …
Persistent link: https://www.econbiz.de/10011382707
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Nonparametric estimation of first passage time distributions in flowgraph models
Collins, David - 2009
nonparametric method, based on reliability and survival data, are presented in detail. …
Persistent link: https://www.econbiz.de/10009429650
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Adaptive weights clustering of research papers
Adamyan, Larisa; Efimov, Kirill; Chen, Cathy Y.; … - In: Digital Finance 2 (2020) 3-4, pp. 169-187
Persistent link: https://www.econbiz.de/10014504269
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Nonparametric factor analysis of time series
Rodríguez-Poo, Juan M.; Linton, Oliver Bruce - 1998
We introduce a nonparametric smoothing procedure for nonparametric factor analaysis of multivariate time series. The …
Persistent link: https://www.econbiz.de/10010309905
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Conditions for the acceptance of deontic conditionals.
Over, D.E.; Manktelow, Ken I.; Hadjichristidis, C. - 2004
Recent psychological research has investigated how people assess the probability of an indicative conditional. Most people give the conditional probability of q given p as the probability of if p then q. Asking about the probability of an indicative conditional, one is in effect asking about its...
Persistent link: https://www.econbiz.de/10009458992