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The parametric hypothesis test of multiple uniform populations
Communications in Statistics - Theory and Methods, 2016ABSTRACTX1, X2, …, Xk are k(k ⩾ 2) uniform populations which each Xi follows U(0, θi). This note shows the test statistic for the null hypothesis H0: θ1 = θ2 = ⋅⋅⋅ = θk by using the order statistics.
Xu Chen, Wang Qi
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Testing the export-growth hypothesis: some parametric and non-parametric for Ghana
Applied Economics, 1993To test the export-growth hypothesis for Ghana, four parametric causality models (the Granger model, the Sims model, the modified Sims model, the Akaike Final Prediction Error model) and the non-parametric multiple rank F-test model of Holmes and Hutton are estimated for a variety of variable specifications and lag structures.
Daniel V. Gordon, Kwabena Sakyi-Bekoe
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Hypothesis Testing and Nonparametric Test
2018It is often required to make some inferences about some parameter of the population on the basis of available data. Such inferences are very important in hydrology and hydroclimatology where the available data is generally limited. This is done through hypothesis testing.
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Using non-parametrics to inform parametric tests of Kuznets' hypothesis
Applied Economics Letters, 2001Simon Kuznets hypothesized that inequality in a country's distribution of income worsens in the early stages of its economic development and that the inequality improves as the country reaches higher stages of development (the ‘inverted U hypothesis’). Empirical support for the inverted U hypothesis has been mixed.
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Non-parametric hypothesis tests
1989There are some hypothesis tests which do not require as many assumptions as the tests described in Chapter 10. However, these ‘non-parametric’ tests are less powerful than the corresponding ‘parametric’ tests, that is we are less likely to reject the null hypothesis and hence accept the alternative hypothesis, when the alternative hypothesis is correct.
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A Non Parametric Test of the Expected Utility Hypothesis
1990A nonparametric test of the expected utility hypothesis is developed. It is shown that the expected utility hypothesis holds if there exists a feasible solution to a system of linear inequalities. Furthermore, when a feasible solution exists boundaries on the coefficient of absolute risk aversion can be calculated explicitly.
Bar-Shira, Ziv, Bar-Shira, Ziv
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On the Cramér–von Mises test with parametric hypothesis for poisson processes
Statistical Inference for Stochastic Processes, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Hypothesis Formulation and Testing – Parametric Tests
2021R. Russell Rhinehart, Robert M. Bethea
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Hypothesis testing: Do my samples come from the same population? Non-parametric data
2016This chapter discusses how to test the hypothesis that samples come from the same statistical population using non-parametric tests. It includes the tests used most often by undergraduates and which mirror those covered in the previous chapter for testing the same hypothesis with parametric data.
Debbie Holmes +3 more
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Basic Concept of Hypothesis Testing and Parametric Test
2022Basant Kumar Das +5 more
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