Search results for " hypothesis testing"
showing 10 items of 118 documents
Interval Length Analysis in Multi Layer Model
2009
In this paper we present an hypothesis test of randomness based on the probability density function of the symmetrized Kulback-Leibler distance estimated, via a Monte Carlo simulation, by the distributions of the interval lengths detected using the Multi-Layer Model (MLM). The $MLM$ is based on the generation of several sub-samples of an input signal; in particular a set of optimal cut-set thresholds are applied to the data to detect signal properties. In this sense MLM is a general pattern detection method and it can be considered a preprocessing tool for pattern discovery. At the present the test has been evaluated on simulated signals which respect a particular tiled microarray approach …
Logit analysis in L2 research: measuring L1 and L2/Ln effects
1998
In quantitatively oriented L2 studies, we normally contrast two phenomena at a time, both at the group and individual level. However, it is generally acknowledged that what a learner produces is determined by a multitude of factors influencing the interlanguage (IL) simultaneously. When dealing with discrete, nominal categories, the numerical and causal relations between the variables involved cannot be adequately captured in an analysis where the phenomenon to be studied and the explanatory factors are subjected to a series of pairwise statistical tests. Instead of the two-variable approach, multivariate techniques should be applied, since they allow for the examination of the effects of m…
Nature et impacts des effets spatiaux sur les valeurs immobilières : le cas de l'espace urbanisé francilien
2013
International audience
Knowledge Discovery from the Programme for International Student Assessment
2017
The Programme for International Student Assessment (PISA) is a worldwide study that assesses the proficiencies of 15-year-old students in reading, mathematics, and science every three years. Despite the high quality and open availability of the PISA data sets, which call for big data learning analytics, academic research using this rich and carefully collected data is surprisingly sparse. Our research contributes to reducing this deficit by discovering novel knowledge from the PISA through the development and use of appropriate methods. Since Finland has been the country of most international interest in the PISA assessment, a relevant review of the Finnish educational system is provided. T…
Getting rid of the Chi-square and Log-likelihood tests for analysing vocabulary differences between corpora
2018
Log-likelihood and Chi-square tests are probably the most popular statistical tests used in corpus linguistics, especially when the research is aiming to describe the lexical variations between corpora. However, because this specific use of the Chi-square test is not valid, it produces far too many significant results. This paper explains the source of the problem (i.e., the non-independence of the observations), the reasons for which the usual solutions are not acceptable and which kinds of statistical test should be used instead. A corpus analysis conducted on the lexical differences between American and British English is then reported, in order to demonstrate the problem and to confirm …
Statistical power of disease cluster and clustering tests for rare diseases: A simulation study of point sources
2012
Abstract Two recent epidemiological studies on clustering of childhood leukemia showed different results on the statistical power of disease cluster and clustering tests, possibly an effect of spatial data aggregation. Eight different leukemia cluster scenarios were simulated using individual addresses of all 1,009,332 children living in Denmark in 2006. For each scenario, a number of point sources were defined with an increased risk ratio at centroid, decreasing linearly to 1.0 at the edge; aggregation levels were administrative units of Danish municipalities and squares of 5, 12.5 and 25 km 2 . Six statistical methods were compared. Generally, statistical power decreased with increasing s…
Can't simply roll it out: Evaluating a real-world virtual reality intervention to reduce driving under the influence.
2020
Driving under the influence (DUI) increases the risk of crashes. Emerging technologies, such as virtual reality (VR), represent potentially powerful and attractive tools for the prevention of risky behaviours, such as DUI. Therefore, they are embraced in prevention efforts with VR interventions primed to grow in popularity in near future. However, little is known about the actual effectiveness of such DUI-targeting VR interventions. To help fill the knowledge gap, this study explored the effects of one VR intervention as delivered in the real world. Using pre and post test design, including an intervention group (n = 98) and a control group (n = 39), the intervention evaluation examined you…
A flexible approach to the crossing hazards problem
2010
We propose a simple and flexible framework for the crossing hazards problem. The method is not confined to two-sample problems, but may also work with continuous exposure variables whose effect changes its sign at some time-point of the observed follow-up time. Penalized partial likelihood estimation relies upon the assumption of a smooth hazard ratio via low-rank basis splines with a conventional difference penalty to ensure smoothness, and additional ad hoc penalties to obtain restricted estimates useful in the context of crossing hazards. The framework naturally also leads to a statistical test that has good power for revealing a global effect under several alternatives, including crossi…
The value drivers of high-tech consumer products
2011
Abstract This study investigates the influence of the customer-value hierarchy model and social network on the perceived economic value of high-tech consumer products. This quantitative empirical study was conducted among Finnish households in early 2008 using the form interview method. The non-probability quota sampling method was applied. The data consisted of 453 completed questionnaires. Hypothesis testing was conducted by linear multiple regression analysis. Goal-, consequence-, and attribute-level value perceptions were found to have a positive effect on the perceived economic value of high-tech consumer products. Attribute-level value had the strongest effect on the formation of perc…
Solving dynamic memory allocation problems in embedded systems with parallel variable neighborhood search strategies
2015
International audience; Embedded systems have become an essential part of our lives, thanks to their evolution in the recent years, but the main drawback is their power consumption. This paper is focused on improving the memory allocation of embedded systems to reduce their power consumption. We propose a parallel variable neighborhood search algorithm for the dynamic memory allocation problem, and compare it with the state of the art. Computational results and statistical tests applied show that the proposed algorithm produces significantly better outcomes than the previous algorithm in shorter computing time.