Results 251 to 260 of about 159,626 (293)

Nonparametric hypothesis testing for intensity of the poisson process

Mathematical Methods of Statistics, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yury A Kutoyants
exaly   +3 more sources

A nonparametric hypothesis test for heteroscedasticity in multiple regression

Canadian Journal of Statistics, 2017
AbstractThis article presents a new method to test for heteroscedasticity in a general multiple nonparametric regression model. The test statistic is based on a high‐dimensional one‐way ANOVA constructed with the absolute value of the residuals, and its asymptotic distribution is derived under the null hypothesis of homoscedasticity and local ...
Seonjin Kim
exaly   +3 more sources

Nonparametric hypothesis tests

2021
R. Russell Rhinehart, Robert M. Bethea
exaly   +2 more sources

Nonparametric Hypothesis Testing

1993
The present chapter takes the same starting point as Chapter IV, although rather than estimation in the multiplicative intensity model, we now consider hypothesis testing. The general remarks made in the Introduction to Chapter IV concerning the underlying model and the specification of the counting process under aggregation of censored, truncated, or ...
Per Kragh Andersen, Ørnulf Borgan, Richard D. Gill, Niels Keiding   +3 more
openaire   +1 more source

Bayesian nonparametric hypothesis testing for longitudinal data analysis

Computational Statistics & Data Analysis, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luz Adriana Pereira, Luis Gutiérrez, Daniel Taylor-Rodríguez, Ramsés H. Mena   +3 more
openaire   +1 more source

Inferential Statistics III: Nonparametric Hypothesis Testing

2019
Andrew P. King, Robert J. Eckersley
exaly   +2 more sources

Nonparametric hypothesis testing

2011
The log-rank test is arguably the most widely used test in survival analysis. In this brief Chapter, we explain the idea of the log-rank test and how it translates to competing risks. The key issue is that the log-rank test compares hazards and may consequently be used to compare cause-specific hazards, too. As we have seen earlier, differences between
Jan Beyersmann, Martin Schumacher, Arthur Allignol   +2 more
openaire   +1 more source

A NONPARAMETRIC HYPOTHESIS TEST VIA THE BOOTSTRAP RESAMPLING [PDF]

, 2001
This paper adapts an already existing nonparametric hypothesis test to the bootstrap framework. The test utilizes the nonparametric kernel regression method to estimate a measure of distance between the models stated under the null hypothesis. The bootstraped version of the test allows to approximate errors involved in the asymptotic hypothesis test.
Temel, Tugrul T., Temel, Tugrul T.
openaire   +3 more sources

Nonparametric hypothesis testing in clustered survival model

Communications in Statistics - Simulation and Computation, 2017
A nonparametric test for the presence of clustering in survival data is proposed. Assuming a model that incorporates the clustering effect into the Cox Proportional Hazards model, simulation studie...
John de Guzman Eustaquio, Erniel B. Barrios   +1 more
openaire   +1 more source

Nonparametric Hypothesis Testing for a Spatial Signal

Journal of the American Statistical Association, 2002
Summary form only given. Nonparametric hypothesis testing for a spatial signal can involve a large number of hypotheses. For instance, two satellite images of the same scene, taken before and after an event, could be used to test a hypothesis that the event has no environmental impact.
Shen, Xiaotong, Huang, Hsincheng, Cressie, Noel A   +2 more
openaire   +3 more sources