Results 41 to 50 of about 607,854 (297)

Analysis of maximum precipitation in Thailand using non‐stationary extreme value models

open access: yesAtmospheric Science Letters, 2023
Non‐stationarity in heavy rainfall time series is often apparent in the form of trends because of long‐term climate changes. We have built non‐stationary (NS) models for annual maximum daily (AMP1) and 2‐day precipitation (AMP2) data observed between ...
Thanawan Prahadchai   +3 more
doaj   +1 more source

Testing Equality of Several Distributions at High Dimensions: A Maximum-Mean-Discrepancy-Based Approach

open access: yesMathematics, 2023
With the development of modern data collection techniques, researchers often encounter high-dimensional data across various research fields. An important problem is to determine whether several groups of these high-dimensional data originate from the ...
Zhi Peng Ong   +3 more
doaj   +1 more source

Estimator Statistics from Simulation-Free Dirichlet Block-Bootstrap Resampling

open access: yesStats
Since the initiation of two variants of the bootstrap method by Efron and Rubin in the late 1970s, a variety of advancements has emerged in the literature. The subsampling of blocks enabled the estimation of the actual variance of the sample mean.
Tillmann Rosenow
doaj   +1 more source

Comparison of nonparametric estimators versus parametric for reliability function

open access: yesIngeniería Investigación y Desarrollo, 2015
One of the main objectives of the area of realiability is to estimate the function of reliability, where traditionally are used non parametric estimators, being more efficient in sample of big sizes.
Javier Ramírez-Montoya
doaj   +1 more source

The PIT-trap-A "model-free" bootstrap procedure for inference about regression models with discrete, multivariate responses. [PDF]

open access: yesPLoS ONE, 2017
Bootstrap methods are widely used in statistics, and bootstrapping of residuals can be especially useful in the regression context. However, difficulties are encountered extending residual resampling to regression settings where residuals are not ...
David I Warton   +2 more
doaj   +1 more source

On Testing the Adequacy of the Inverse Gaussian Distribution

open access: yesMathematics, 2022
We propose a new class of goodness-of-fit tests for the inverse Gaussian distribution based on a characterization of the cumulative distribution function (CDF). The new tests are of weighted L2-type depending on a tuning parameter.
James S. Allison   +3 more
doaj   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

open access: yesMolecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach   +9 more
wiley   +1 more source

Bootstrap for estimating the mean squared error of the spatial EBLUP [PDF]

open access: yes, 2007
This work assumes that the small area quantities of interest follow a Fay-Herriot model with spatially correlated random area effects. Under this model, parametric and nonparametric bootstrap procedures are proposed for estimating the mean squared ...
MOLINA ISABEL   +6 more
core   +1 more source

Statistical Analysis and Theoretical Framework for a Partially Accelerated Life Test Model with Progressive First Failure Censoring Utilizing a Power Hazard Distribution

open access: yesMathematics, 2023
Monitoring life-testing trials for a product or substance often demands significant time and effort. To expedite this process, sometimes units are subjected to more severe conditions in what is known as accelerated life tests.
Amel Abd-El-Monem   +4 more
doaj   +1 more source

On Parametric Bootstrap Methods for Small Area Prediction

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2006
Summary The particularly wide range of applications of small area prediction, e.g. in policy making decisions, has meant that this topic has received substantial attention in recent years. The problems of estimating mean-squared predictive error, of correcting that estimator for bias and of constructing prediction intervals have been ...
Hall, Peter, Maiti, Tapabrata
openaire   +2 more sources

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