This paper reports on the results of three experiments based on the neoclassical theory of consumer behavior. All these experiments were carried out with the aim of simulating real-world behavior. Nonparametric tests, applying the theory of revealed preference, show that a significant number of individuals exhibit inconsistent behavior. If nearly optimizing behavior is postulated, then most of ...

All the kinship correlations (and their sample sizes) reported over a period o f 30 years by Sir Cyril Burt are presented in tabular form. The kinships include identical twins reared together and apart, fraternal twins, siblings, parent-child, grandparent-grandchiM, cousins, and others, more rare types o f relationships. Burt's statistical methods and the procedures for testing and obtaining "f...

Visualisation is usually one of the first steps in handling any data analysis problem. Visualisations are an intuitive way to discover inconsistencies, outliers, dependencies, interesting patterns and peculiarities in the data. However, due to modern computer technology, a vast number of visualisation techniques is available nowadays. Even if only simple scatterplots, plotting pairs of variable...

Current clinical and research neuroimaging protocols acquire images using multiple modalities, for instance, T1, T2, diffusion tensor and cerebral blood flow magnetic resonance images (MRI). These multivariate datasets provide unique and often complementary anatomical and physiological information about the subject of interest. We present a method that uses fused multiple modality (scalar and t...

Statistical learning approaches, bounded mainly to knowledge related to perceptual manifestations of semantics, fall short to adequately utilise the meaning and logical connotations pertaining to the extracted image semantics. Instigated by the Semantic Web, ontologies have appealed to a significant share of synergistic approaches towards the combined use of statistical learning and explicit se...

Several techniques have been proposed recently for sensor validation in nuclear as well as fossil power plants. They are all based on the same idea of using redundant information contained in collinear data sets to provide an estimation of monitored sensor value. Being data driven statistical techniques they are all prone to the instabilities and inconsistencies caused by collinear finite data ...

Abundance calculations for the p-nuclei involve an extended network of about 20,000 nuclear reactions of almost 2,000 nuclei. These rates are calculated with the statistical Hauser Feshbach Model (HF-Model). Elastic scattering experimental data provides a test for the global parameterizations of optical potentials that are used in these statistical model calculations. Recent experiments suggest...

Although judgmental models are widely applied in practice to alleviate the limitation of statistical models ignoring domain knowledge, they are still suffering from many kinds of biases and inconsistencies inherent in subjective judgments. Moreover, most of the prior studies are often concentrated on making judgmental adjustments to statistical projections and ignore incorporating domain knowle...

Languages often demonstrate word order inconsistencies, and such inconsistencies ought to make languages harder to acquire. We present an integrative approach exploring the relationship between learnability and word order, incorporating syntactic theory, corpus analyses and computational modelling. We focus on comparisons between English and German, and conclude that inconsistencies may be pres...