Results 211 to 220 of about 43,974 (259)

Evaluation of Swallowing and Tongue Strength Index in Patients With Temporomandibular Dysfunction: A Cross-Sectional Study. [PDF]

Int J Dent
da Silva Germiniani J, Kuczera MS, Ferraz AX, Santos RS, Zeigelboim BS, de Araujo CM, Ravazzi GMNC, Gonçalves FM, Stechman-Neto J.   +8 more
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Data-Driven Nonparametric Hypothesis Testing

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
We investigate a nonparametric hypothesis testing problem, in which we assume a testing data stream is generated by one of a set of distributions (hypotheses), and the goal is to test which one of the multiple distributions generates the testing data stream, i.e., which hypothesis occurs.
Shuguang Cui, Yingbin Liang
exaly   +2 more sources

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 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

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

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

A nonparametric hypothesis test for heteroscedasticity

Journal of Nonparametric Statistics, 2016
ABSTRACTIn this paper, a hypothesis test for heteroscedasticity is proposed in a nonparametric regression model. The test statistic, which uses the residuals from a nonparametric fit of the mean function, is based on an adaptation of the well-known Levene's test.
Seonjin Kim, Adriano Z. Zambom
openaire   +1 more source

Inferential Statistics III: Nonparametric Hypothesis Testing

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