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Measures of Ordinal Association II
Chapter 10 is the second of two chapters describing connections, equivalencies, and relationships relating to...
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Measures of Ordinal Association I
Chapter 9 is the first of two chapters describing connections, equivalencies, and relationships relating to...
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Measures of Nominal Association I
Chapter 11 is the first of two chapters describing connections, equivalencies, and relationships relating to...
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Measures of Association
This chapter deals with measures of association, how inferences about these measures of association might be made, plus methods for comparing...
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Measures of Nominal Association II
Chapter 12 is the second of two chapters describing connections, equivalencies, and relationships relating to...
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Measures of Fourfold Association II
Chapter 14 is the second of two chapters describing connections, equivalencies, and relationships relating to...
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Measures of Fourfold Association I
Chapter 13 is the first of two chapters describing connections, equivalencies, and relationships relating to...
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Measures of Association
This chapter starts with a discussion on the historical development of correlation coefficients. It then discusses the population and sample...
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Association Between Categorical Variables: Contingency Analysis with Chi Square
Categorical variables, including nominal (where numbers are simply labels) and ordinal, rank order variables, are described by tabulating their...
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Welch’s t test is more sensitive to real world violations of distributional assumptions than student’s t test but logistic regression is more robust than either
It has previously been pointed out that Student’s t test, which assumes that samples are drawn from populations with equal standard deviations, can...
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On the test of covariance between two high-dimensional random vectors
We consider a problem of association test in high dimension. A new test statistic is proposed based on the covariance of random vectors and its...
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Measures of Interval Association
Chapter 8 describes connections, equivalencies, and relationships relating to bivariate linear correlation and...
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Kernel-based Measures of Association Between Inputs and Outputs Using ANOVA
ANOVA decomposition of a function with random input variables provides ANOVA functionals (AFs), which contain information about the contributions of...
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Set-Based Tests for Genetic Association Studies with Interval-Censored Competing Risks Outcomes
Over the past decade, massive genetic compendiums such as the UK Biobank have gathered extensive genetic and phenotypic data that hold the potential...
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An association measure for spatio-temporal time series
Spatial association measures for univariate static spatial data are widely used. Suppose the data is in the form of a collection of spatial vectors,...
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The Test for a Difference Between Means with Dependent Samples or Dependent Samples t-Test
In the test for a difference between group means with independent samples, we analyze whether two independent groups differ. We examine two different...
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Permutation test of tail dependence
We propose and analyze a permutation test of the tail dependence between two random variables whose marginal distributions are assumed to be known....
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Association of Two Variables
In Chaps. 2 and 3 we discussed how to analyse a single variable using graphs and summary statistics. However, in many situations we may be interested...
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Log-Linear and Log-Multiplicative Association Models for Categorical Data
The chapter reviews uni- and multidimensional association models (AMs) that provide a parsimonious modelling of interactions between categorical...