Results 81 to 90 of about 607,854 (297)
ESTIMACIÓN DE KAPLAN MEIER BOOTSTRAP DE LA CURVA DE SUPERVIVENCIA
Pesquimat, 2014 In this work the function of survival is estimated by means of the non-parametric method known like the Kaplan Meier Bootstrap estimator, under the assumption of asymptotical normality.
Freddy Tineo Guevara +2 more
doaj +1 more source
Bootstrap in high dimensional spaces [PDF]
, 2020 Ziel dieser Arbeit ist theoretische Eigenschaften verschiedener Bootstrap Methoden zu untersuchen. Als Ergebnis führen wir die Konvergenzraten des Bootstrap-Verfahrens ein, die sich auf die Differenz zwischen der tatsächlichen Verteilung einer Statistik ...
Buzun, Nazar
core +1 more source
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
DesimalThis study aims to model large third-party liability insurance claim data using an exponential mixture distribution with a parametric bootstrap approach.
Ainani Tajriyan Muntaharridwan +1 more
doaj +1 more source
Seasonal Anomalies in TEHRAN Stock Exchange Returns Non Parametric Bootstrap Approach [PDF]
تحقیقات مالی, 2011 Because of the heterogeneity in behavior, in the real world prices may deviate substantially and persistently from their fundamental values. Of course, if these heterogeneous elements play a rather minor role then asset prices and rates of return will be
Mohsen Nazari, Elham Farzanegan
doaj
Asymptotic refinements of bootstrap tests in a linear regression model ; A CHM bootstrap using the first four moments of the residuals [PDF]
We consider linear regression models and we suppose that disturbances are either Gaussian or non Gaussian. Then, by using Edgeworth expansions, we compute the exact errors in the rejection probability (ERPs) for all one-restriction tests (asymptotic and ...
Pierre-Eric Treyens
core
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Parametric and nonparametric bootstrap: an analysis of indoor air data from Kuwait
Kuwait Journal of Science, 2018 This paper discusses the performance of parametric and nonparametric bootstrap for confidence interval (CI) estimation applied to fine particulate matter (PM2.5) data.
Sana BuHamra +2 more
doaj
A new approach to bootstrap inference in functional coefficient models [PDF]
We introduce a new, factor based bootstrap approach which is robust under heteroskedastic error terms for inference in functional coefficient models. Modeling the functional coefficient parametrically, the bootstrap approximation of an F statistic is ...
Herwartz, Helmut, Xu, Fang
core
Advanced Robotics Research, EarlyView.Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley +1 more source