Results 11 to 20 of about 39,022 (281)
Confidence intervals in monotone regression
Scandinavian Journal of StatisticsAbstractWe construct bootstrap confidence intervals for a monotone regression function. It has been shown that the ordinary nonparametric bootstrap, based on the nonparametric least squares estimator (LSE) , is inconsistent in this situation. We show that an ‐consistent bootstrap can be based on the smoothed , to be called the SLSE (Smoothed Least ...
Piet Groeneboom, Geurt Jongbloed
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The Lookup Table Regression Model for Histogram-Valued Symbolic Data
Stats, 2022 This paper presents the Lookup Table Regression Model (LTRM) for histogram-valued symbolic data. We first transform the given symbolic data to a numerical data table by the quantile method.
Manabu Ichino
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On Analyzing Non-Monotone Failure Data
Revstat Statistical Journal, 2023 A new two-parameter distribution is defined for modeling non-monotone lifetime data. It is constructed based on the logistic-G family and the exponential distribution.
Muhammad Mansoor +4 more
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Adaptive observer design for time-varying nonlinear systems with unknown polynomial parameters [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2021 Many control methods involve the use of real-time values of the vector of state variables or its estimates. The article considers the problem of state variables observer design for a nonlinear non-stationary plant of a wider class compared to the known ...
Binh Khac Dang +3 more
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TESTING GENERALIZED REGRESSION MONOTONICITY [PDF]
Econometric Theory, 2018 We propose a test for a generalized regression monotonicity (GRM) hypothesis. The GRM hypothesis is the sharp testable implication of the monotonicity of certain latent structures, as we show in this article. Examples include the monotonicity of the conditional mean function when only interval data are available for the dependent variable and the ...
Hsu, Yu-Chin, Liu, Chu-An, Shi, Xiaoxia
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A dual active set algorithm for optimal sparse convex regression
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2019 The shape-constrained problems in statistics have attracted much attention in recent decades. One of them is the task of finding the best fitting monotone regression. The problem of constructing monotone regression (also called isotonic regression) is to
Aleksandr A. Gudkov +3 more
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Mixture Modeling of Time-to-Event Data in the Proportional Odds Model
Mathematics, 2022 Subgroup analysis with survival data are most essential for detailed assessment of the risks of medical products in heterogeneous population subgroups. In this paper, we developed a semiparametric mixture modeling strategy in the proportional odds model ...
Xifen Huang +4 more
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, 2020 We consider so-called univariate unlinked (sometimes \decoupled,"or \shuffled") regression when the unknown regression curve is monotone. In standard monotone regression, one observes a pair (X; Y ) where a response Y is linked to a covariate X through the model Y = m0(X) + ϵ, with m0 the (unknown) monotone regression function and ϵ the unobserved ...
Balabdaoui, Fadoua +2 more
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Nonparametric instrumental variable estimation under monotonicity [PDF]
, 2014 The ill-posedness of the inverse problem of recovering a regression function in a nonparametric instrumental variable model leads to estimators that may suffer from a very slow, logarithmic rate of convergence. In this paper, we show that restricting the
Chetverikov, Denis, Wilhelm, Daniel
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Monotone Percentile Regression
The Annals of Statistics, 1976 Suppose that for each number $t$ in [0, 1] there is a distribution with distribution function $F_t(\bullet)$ which has $p$th percentile $\xi(t)$. Consider the problem of estimating $\xi(\bullet)$ under the assumption that $\xi(\bullet)$ is monotone.
Casady, Robert J., Cryer, Jonathan D.
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