Results 221 to 230 of about 4,448,452 (248)

Non-parametric hypothesis testing procedures and applications to demand analysis

Journal of Econometrics, 1985
This paper proposes a hypothesis test that a (possibly vector-valued) regression function g lies in a particular family of functions \({\mathcal F}\), not necessarily a finite-dimensional parametric family, where \({\mathcal F}\) is a compact subset of an appropriate topological space of continuous functions.
Epstein, Larry G., Yatchew, Adonis J.
openaire   +1 more source

Hypothesis Formulation and Testing – Parametric Tests

2021
R. Russell Rhinehart, Robert M. Bethea
openaire   +1 more source

Basic Concept of Hypothesis Testing and Parametric Test

2022
Basant Kumar Das, Dharm Nath Jha, Sanjeev Kumar Sahu, Anil Kumar Yadav, Rohan Kumar Raman, M. Kartikeyan   +5 more
openaire   +1 more source

Parametric hypothesis testing for pathway based hierarchical structural component models

Genes & Genomics
BACKGROUND: Hierarchical Structural Component Model (HisCoM) are statistical tools developed for pathway analysis that enable the simultaneous evaluation of multiple pathways within a single model. Traditionally, HisCoM utilize permutation tests to assess the significance of pathways in relation to a phenotype of interest.
Md, Kamruzzaman, Taesung, Park
openaire   +2 more sources

A predictive motivation for loss function specification in parametric hypothesis testing

Economics Letters, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On Parametric Hypothesis Testing with Non-Parametric Tests

Theory of Probability & Its Applications, 1970
openaire   +1 more source

Analysis of Type I and II Error Rates of Bayesian and Frequentist Parametric and Nonparametric Two-Sample Hypothesis Tests Under Preliminary Assessment of Normality

Computational Statistics, 2021
Riko Kelter
exaly  

Hypothesis Testing for Two Population Means: Parametric or Non-Parametric Test?

Journal of Statistical Computation and Simulation, 2020
Michail Tsagris, Abdulaziz Alenazi, Nikolaos Pandis   +2 more
exaly  

A non-parametric hypothesis test via the Bootstrap resampling

2000
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 ...
openaire   +1 more source

Selection of Evolutionary Models for Phylogenetic Hypothesis Testing Using Parametric Methods

Journal of Evolutionary Biology, 2001
Brent Emerson, K M Ibrahim, G M Hewitt
exaly