Results 61 to 70 of about 6,626,690 (175)

Alternative methods of null-hypothesis significance testing

open access: yes, 2020
Tato práce se zabývá problémy s testováním statistických hypotéz a jejich možným řešením. Prvním cílem je vysvětlit rozdíl mezi statistickou významností a praktickou významností a poukázat na problémy, které z jejich libovolného zaměňování plynou. Druhým
Kabátek, Jan
core   +1 more source

Null hypothesis significance testing defended and calibrated by Bayesian model checking

open access: yes, 2018
Null hypothesis significance testing is often criticized because attaining statistical significance does not necessarily imply that the posterior probability is low relative to to the prior probability.
Bickel, David R.
core   +1 more source

REACT to NHST: Sensible conclusions for meaningful hypotheses [PDF]

open access: yesTutorials in Quantitative Methods for Psychology
While Null Hypothesis Significance Testing (NHST) remains a widely used statistical tool, it suffers from several shortcomings in its common usage, such as conflating statistical and practical significance, the formulation of inappropriate null ...
Izbicki, Rafael   +5 more
doaj   +1 more source

Testing the martingale difference hypothesis using integrated regression functions [PDF]

open access: yes, 2006
An omnibus test for testing a generalized version of the martingale difference hypothesis (MDH) is proposed. This generalized hypothesis includes the usual MDH, testing for conditional moments constancy such as conditional homoscedasticity (ARCH effects)
Velasco Gómez, Carlos   +6 more
core   +1 more source

Reordering our priorities by putting phenomena before design : escaping the straitjacket of null hypothesis significance testing [PDF]

open access: yes, 2014
In this paper we reflect on two related questions. First, how have we arrived at a position where null hypothesis significance testing is the dominant criterion employed by quantitative researchers when deciding on whether or not a result is ‘significant’
David D. Van Fleet   +5 more
core   +1 more source

Recommendations for statistical analysis involving null hypothesis significance testing

open access: yes, 2023
Recommendations for statistical analysis involving null hypothesis significance ...
G T G Hughes (13493614)   +9 more
core  

Testing for the Null Hypothesis of Cointegration with Structural Breaks (Subsequently published in "Econometric Reviews", Volume 26, Issue 6 November 2007, pages 705 - 739. ) [PDF]

open access: yes
In this paper we propose residual-based tests for the null hypothesis of cointegration with structural breaks against the alternative of no cointegration.
Eiji Kurozumi, Yoichi Arai
core  

Testing the null hypothesis: the forgotten legacy of Karl Popper? [PDF]

open access: yes, 2013
Testing of the null hypothesis is a fundamental aspect of the scientific method and has its basis in the falsification theory of Karl Popper. Null hypothesis testing makes use of deductive reasoning to ensure that the truth of conclusions are irrefutable.
Wilkinson, Mick
core   +1 more source

Size distortions of tests of the null hypothesis of stationarity: Evidence and implications for applied work [PDF]

open access: yes
It is common in applied econometrics to test the null hypothesis of a level-stationary process against the alternative of a unit root process. We show that the use of conventional asymptotic critical values for the stationarity tests of Kwiatkowski et al.
Kilian, Lutz, Caner, Mehmet
core  

New Polystochastic Statistical Inference in Social Sciences - Defining new Rules and Thresholds

open access: yesRevija za Elementarno Izobraževanje
The Null Hypothesis Significance Testing (NHST) framework has sparked considerable debate within the scientific community, leading to numerous studies advocating for a re-evaluation of the current system.
Sinisa Opić
doaj   +1 more source

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