Results 21 to 30 of about 33,702 (146)

Laplace transform technique and probabilistic analysis-based hypothesis testing in medical and engineering applications

Open Physics
This study introduces a novel nonparametric hypothesis test designed to evaluate exponentiality against the New Better than Renewal Used in Moment Generating Function (NBRUmgf) class.
Bakr Mahmoud E., Gadallah Alaa M., Balogun Oluwafemi Samson, El-Toony Asmaa A.   +3 more
doaj   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

Robust nonparametric inference for the median

, 2005
We consider the problem of constructing robust nonparametric confidence intervals and tests of hypothesis for the median when the data distribution is unknown and the data may contain a small fraction of contamination.
Yohai, Victor J., Zamar, Ruben H.
core   +1 more source

Estimation and model selection in generalized additive partial linear models for correlated data with diverging number of covariates [PDF]

, 2014
We propose generalized additive partial linear models for complex data which allow one to capture nonlinear patterns of some covariates, in the presence of linear components.
Liang, Hua, Qu, Annie, Wang, Li, Xue, Lan   +3 more
core   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Regression Discontinuity Designs Using Covariates

, 2018
We study regression discontinuity designs when covariates are included in the estimation. We examine local polynomial estimators that include discrete or continuous covariates in an additive separable way, but without imposing any parametric restrictions
Calonico, Sebastian, Cattaneo, Matias D., Farrell, Max H., Titiunik, Rocio   +3 more
core   +1 more source

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

Small, EarlyView.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun, Rotimi‐Williams Bello, Pius Adewale Owolawi, Rytis Maskeliūnas, Abdulsatar Abduljabbar Sultan   +4 more
wiley   +1 more source

Goodness of fit tests in random coefficient regression models [PDF]

, 1994
Random coefficient regressions have been applied in a wide range of fields, from biology to economics, and constitute a common frame for several important statistical models.
Delicado, Pedro, Romo, Juan
core   +5 more sources

Intersection Bounds: Estimation and Inference [PDF]

, 2012
We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or equivalently, the value of a linear programming problem with a potentially
Chernozhukov, Victor, Lee, Sokbae, Rosen, Adam M.   +2 more
core   +3 more sources

Investigating the EKC and LCC Hypotheses for BRICS Countries: The Role of Economic Complexity in Environmental Degradation

Natural Resources Forum, EarlyView.
ABSTRACT The number of studies in literature examining the relationship between economic complexity and environment continues to increase. In those studies, either environmental degradation is represented by a limited indicator, or a traditional empirical method is preferred.
Tunahan Haciimamoglu
wiley   +1 more source