Results 201 to 210 of about 66,189 (248)

The development and implementation of odd-exponential-ailamujia distribution in python: properties and application in reliability engineering. [PDF]

Sci Rep
Alballa T, Ramzan Q, Amin M, Almutairi M, El-Wahed Khalifa HA.   +4 more
europepmc   +1 more source

KULLBACK-LEIBLER-BASED DISCRETE FAILURE TIME MODELS FOR INTEGRATION OF PUBLISHED PREDICTION MODELS WITH NEW TIME-TO-EVENT DATASET. [PDF]

Ann Appl Stat
Wang D, Ye W, Sung R, Jiang H, Taylor JMG, Ly L, He K.   +6 more
europepmc   +1 more source

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On some asymptotic properties of a class of non-parametric tests based on the number of rare exceedances

Annals of the Institute of Statistical Mathematics, 1965
P. Sen
openaire   +3 more sources

Non-parametric tests for serial dependence in time series based on asymptotic implementations of ordinal-pattern statistics.

Chaos, 2022
Ordinal patterns can be used to construct non-parametric hypothesis tests that aim to discover (possibly non-linear) serial dependence in a real-valued time series.
C. Weiß
semanticscholar   +1 more source

Some parametric tests based on sample spacings

Test (Madrid), 2021
Assume that we have a random sample from an absolutely continuous distribution (univariate, or multivariate) with a known functional form and some unknown parameters.
Rahul Singh, N. Misra
semanticscholar   +1 more source

Parametric testing for normality against bimodal and unimodal alternatives using higher moments

Communications in statistics. Simulation and computation, 2023
This study examines population and small sample properties of the standardized fifth and sixth moments – the “higher moments” – for assessing univariate normality against bimodal and selected unimodal alternatives. Population parameters and distributions
Geoffrey Poitras
semanticscholar   +1 more source

New non-parametric tests for independence

, 2020
In this paper, we consider the problem of testing independence against stochastically increasing property. For the construction of new statistical tests, we employ Nadaraya–Watson regression estimator.
Ebrahim Amini-Seresht, B. Milošević
semanticscholar   +1 more source

A new test for non-linear hypotheses under distributional and local parametric misspecification

Studies in Nonlinear Dynamics & Econometrics, 2022
In this paper, we develop a new version of Rao’s score (RS) statistic for testing a non-linear hypothesis under both distributional and local parametric misspecification.
A. Bera, Osman Doğan, Suleyman Taşpınar   +2 more
semanticscholar   +1 more source

A family of non-parametric tests for the class of log-symmetric distributions

Journal of Applied Statistics
The continuous, strictly positive, and asymmetric variables, which may include outliers, are commonly encountered across various fields. Log-symmetric distributions are frequently useful for modeling such data.
Ganesh Vishnu Avhad, Ananya Lahiri, S. Kattumannil   +2 more
semanticscholar   +1 more source