Results 11 to 20 of about 1,113,356 (231)

Zero- vs. one-dimensional, parametric vs. non-parametric, and confidence interval vs. hypothesis testing procedures in one-dimensional biomechanical trajectory analysis [PDF]

Journal of Biomechanics, 2015
Biomechanical processes are often manifested as one-dimensional (1D) trajectories. It has been shown that 1D confidence intervals (CIs) are biased when based on 0D statistical procedures, and the non-parametric 1D bootstrap CI has emerged in the ...
Todd C. Pataky, Jos Vanrenterghem, Mark A. Robinson   +2 more
semanticscholar   +5 more sources

Robust Hypothesis Testing and Model Selection for Parametric Proportional Hazard Regression Models

Sankhya A, 2020
The semi-parametric Cox proportional hazards regression model has been widely used for many years in several applied sciences. However, a fully parametric proportional hazards model, if appropriately assumed, can often lead to more efficient inference. To tackle the extreme non-robustness of the traditional maximum likelihood estimator in the presence ...
Amarnath Nandy, Abhik Ghosh, Ayanendranath Basu, Leandro Pardo   +3 more
openalex   +3 more sources

Testing Weak Form of Market Efficiency of DSE Based on Random Walk Hypothesis Model: A Parametric Test Approach

International Journal of Accounting and Financial Reporting, 2019
Stock market is one great indicator of any country’s economic condition. Hence, measuring the capital market in different forms has always been a great interest to finance researchers.
Ahmed Raihan Sadat, Emran Hasan
openalex   +3 more sources

Advancements in Laplace transform techniques: Performing non-parametric hypothesis testing on real-world data through statistical analysis [PDF]

AIP Advances
This research delves into the exploration of a statistical testing approach grounded in Laplace transform techniques specifically tailored for the New Better than Used Laplace transform order (NBUL) class of life distributions.
M. E. Bakr, A. A. El-Toony, Amani Almohaimeed, A. M. Gadallah   +3 more
doaj   +2 more sources

Non-Parametric Hypothesis Testing for Used Better than Aged in Laplace Transform (UBAL) Life Distributions: A Moment Inequalities Approach with Medical Applications [PDF]

Axioms
Life distribution comparison is important in reliability and survival analysis to model system aging and longevity. The article develops a non-parametric hypothesis test procedure for testing exponentiality against the Used Better than Aged in Laplace ...
Mahmoud E. Bakr, Oluwafemi Samson Balogun, Arwa M. Alsahangiti, Asmaa A. El-Toony   +3 more
doaj   +2 more sources

Parametric hypothesis tests for exponentiality under multiplicative distortion measurement errors data

Communications in Statistics - Simulation and Computation, 2023
In this paper, we proposed a parametric hypothesis test of the multiplicative distortion model under the exponentially distributed but unobserved random variable. The unobservable variable is distorted in a multiplicative fashion by an observed confounding variable. Firstly, some new test statistics are proposed to checking the exponential distribution
Yujie Gai, Jun Zhang, Yue Zhou
openalex   +3 more sources

On Asymptotically Distribution Free Tests with Parametric Hypothesis for Ergodic Diffusion Processes [PDF]

Statistical Inference for Stochastic Processes, 2013
We consider the problem of the construction of the asymptotically distribution free test by the observations of ergodic diffusion process. It is supposedd that under the basic hypothesis the trend coefficient depends on the finite dimensional parameter and we study the Cramer-von Mises type statistics. The underlying statistics depends on the deviation
Marina Kleptsyna, Yury A. Kutoyants
openalex   +4 more sources

Non-parametric hypothesis testing to address fundamental life testing issues in reliability analysis with some real applications

AIMS Mathematics
Life categories and probability distributions are part of a new field in reliability that has emerged as a result of the daily generation of data that has become more complex across practical fields.
M. E. Bakr
doaj   +2 more sources

Optimal Sufficient Statistics for Parametric and Non-Parametric Multiple Simultaneous Hypothesis Testing

The International Journal of Biostatistics, 2009
In multiple simultaneous hypothesis testing (MSHT), a significance thresholding function as a scalar statistic can be designed in an adaptive manner by sharing information among many tests performed simultaneously. By using such an adapted statistic, MSHT has greater detection power than tests using simple individual statistics.
Shigeyuki Oba, Shin Ishii
openalex   +3 more sources

Parametric Predictive Bootstrap Method for the Reproducibility of Hypothesis Tests [PDF]

Journal of Statistical Theory and Practice
Abstract Hypothesis tests are essential tools in applied statistics, but their results can vary when repeated. The reproducibility probability (RP) quantifies the probability of obtaining the same test outcome—either rejecting or not rejecting the null hypothesis—if a hypothesis test is repeated under identical conditions.
Abdulrahman M. A. Aldawsari, Tahani Coolen‐Maturi, Frank P. A. Coolen   +2 more
openalex   +3 more sources