نتایج جستجو برای: bonferroni inequality
تعداد نتایج: 61623 فیلتر نتایج به سال:
According to the Ahlowalia hypothesis (1995), the growth of total factor productivity (TFP) beside infrastructure investments of government lead to income inequality decrease in rural areas of countries. The main objective of this study is to investigate the effects of public investments such as agricultural R&E, road, education and irrigation on income inequality in rural areas of Iran. In ord...
Introduction: The relationship between population health and income inequality has attracted much attention during the last two decades. But the question on which there is no consensus is that whether fluctuations in economic inequality would lead to changes in population health indices. Methods: In response to this question, life expectancy and mortality rate as health indicators and Gini coef...
Objective: Income inequality affects consumption structure via changes in the composition of expenditure basket. Shocks, fluctuations, disparities, and dispersions of income inequality, is expected to be transmitted to consumption expenditures. These shocks might induce inequalities in consumption expenditures. This paper tries to measure the amount of such consumption expenditures inequal...
The main purpose of this article is to investigate the factors affecting Iranchr('39')s income inequality in the period 1352 to 1396. For this purpose, causal relationships were first investigated using Hsiao and Toda-Yamamato causality tests. Then the effects of effective factors were estimated using error correction patterns.The results of causal tests in general showed that there is a causal...
In recent years, sequential optimality conditions are frequently used for convergence of iterative methods to solve nonlinear constrained optimization problems. The sequential optimality conditions do not require any of the constraint qualications. In this paper, We present the necessary sequential complementary approximate Karush Kuhn Tucker (CAKKT) condition for a point to be a solution of a ...
Functional neuroimaging data embodies a massive multiple testing problem, where 100,000 correlated test statistics must be assessed. The familywise error rate, the chance of any false positives is the standard measure of Type I errors in multiple testing. In this paper we review and evaluate three approaches to thresholding images of test statistics: Bonferroni, random field and the permutation...
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