Search results for "SAMPLE"
showing 10 items of 2270 documents
Diseño muestral optimo en el caso de no respuesta
1982
Discussed here are several aspects of a simple model for dealing with nonresponse. The model is, in a sense, a sequential one and is developed from a Bayesian decision theory point of view. Within this framework we examine how formalization and combination of one's opinions, and past experience concerning the proportion of nonrespondents, the differences and relations between respondents and nonrespondents, the cost of obtaining information from nonrespondents, etc. We examine the decisions concerning the selection of sampling size m and n, both in the nonrespondent population and in the overall population
Using Complex Surveys to Estimate theL1-Median of a Functional Variable: Application to Electricity Load Curves
2012
Mean proles are widely used as indicators of the electricity consumption habits of customers. Currently, Electricit e De France (EDF), estimates class load proles by using point-wise mean function. Unfortunately, it is well known that the mean is highly sensitive to the presence of outliers, such as one or more consumers with unusually high-levels of consumption. In this paper, we propose an alternative to the mean prole: the L1-median prole which is more robust. When dealing with large datasets of functional data (load curves for example), survey sampling approaches are useful for estimating the median prole and avoid storing all of the data. We propose here estimators of the median trajec…
On powerful exact nonrandomized tests for the Poisson two-sample setting.
2020
In the case of two independent samples from Poisson distributions, the natural target parameter for hypothesis testing is the ratio of the two population means. The conditional tests which have been derived for this class of problems already in the 1940s are well known to be optimal in terms of power only when randomized decisions between hypotheses are admitted at the boundary of the respective rejection regions. The major objective of this contribution is to show how the approach used by Boschloo in 1970 for constructing a powerful nonrandomized version of Fisher’s exact test for hypotheses about the odds ratio between two binomial parameters can successfully be adapted for the Poisson c…
On implementation of the Gibbs sampler for estimating the accuracy of multiple diagnostic tests
2010
Implementation of the Gibbs sampler for estimating the accuracy of multiple binary diagnostic tests in one population has been investigated. This method, proposed by Joseph, Gyorkos and Coupal, makes use of a Bayesian approach and is used in the absence of a gold standard to estimate the prevalence, the sensitivity and specificity of medical diagnostic tests. The expressions that allow this method to be implemented for an arbitrary number of tests are given. By using the convergence diagnostics procedure of Raftery and Lewis, the relation between the number of iterations of Gibbs sampling and the precision of the estimated quantiles of the posterior distributions is derived. An example conc…
Analysis of Educational Frequency Data from a Complex Sample Survey
1991
Abstract Some recent methods are presented for analyzing categorial data from complex surveys involving clustering familiar in educational research where e.g. teaching groups are used as sample clusters. The methods are introduced through a discussion of the test of independence on a two‐way table and the analysis of a two‐way table using logistic regression models. The analyses are illustrated using data from the First National Assessment of the Finnish Comprehensive School 1979. The primary focus of the paper is on the methods that provide first‐order corrections to standard multinomial‐based chi‐square tests by taking account of survey design effects. Both first‐ and second‐order correct…
Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow
2020
An adaptive task difficulty assignment method which we reckon as balanced difficulty task finder (BDTF) is proposed in this paper. The aim is to recommend tasks to a learner using a trade-off between skills of the learner and difficulty of the tasks such that the learner experiences a state of flow during the learning. Flow is a mental state that psychologists refer to when someone is completely immersed in an activity. Flow state is a multidisciplinary field of research and has been studied not only in psychology, but also neuroscience, education, sport, and games. The idea behind this paper is to try to achieve a flow state in a similar way as Elo’s chess skill rating (Glickman in Am Ches…
The double-edge sword effect of interorganizational trust on involvement in interorganizational networks: The mediator role of affective commitment
2020
Abstract Some organizations collaborate with other partner organizations to reach common goals, establishing interorganizational networks. The governance of the network is often enacted by an interorganizational governing team composed of the directors or top managers of the partner firms. This team plans, manages, and supervises the advancement of the network’s common goals. The success of the network depends, to a large extent, on the involvement of the members of the governing team. In this study, we tested a multilevel model of the antecedents of the involvement of governing team members in the management activities of interorganizational networks. We examined whether the relationship b…
Crowdfunding as a tool to support sustainability‐oriented initiatives: Preliminary insights into the role of product/service attributes
2019
A common goal of current research seems to uncover whether crowdfunding (CF) could be considered an effective way to support sustainability-oriented initiatives in securing funding, due to diverging results emerging from literature. We claim that the objective of proving whether CF may benefit sustainability-oriented initiatives could be misplaced; rather, we deem more fruitful to understand how critical are some attributes of products/services pursued within CF campaigns to benefiting sustainability-oriented initiatives and increasing their odds of success in CF. We focus on food-related projects as in this sector, sustainability issues apply more than to any other human activities and con…
Enhancing organisational commitment through task significance: the moderating role of openness to experience
2020
International audience; Researchers have extensively explored the factors influencing employees’ organisational commitment. However, few studies make an explicit distinction between different commitment types when exploring its determinants, and the scholarly attention to individual differences is also limited. In this paper, we confirm that developing managerial interventions to enhance task significance can be useful to promote organisational commitment, but this relationship is contingent on the commitment type and the employees’ openness to experience. We focus on two forms of organisational commitment: affective and continuance commitment. Our study shows that task significance is a be…
CEO satisfaction and intended strategic changes
2018
How do CEOs react to attainment discrepancies in their organizations' performance? Scholars have generally argued that (only) when performance falls below a certain aspiration level do CEOs intend to change the organization's strategy. However, empirical evidence on this issue is ambiguous and inconclusive. We address this puzzle directly by studying how CEOs' cognitive interpretations of performance (their satisfaction with the firm's performance) affect the magnitude of intended strategic changes, and we explore the moderating effect of the context (performance compared to the industry) on this relationship. Using a sample of medium-sized organizations, we find that CEOs' satisfaction wit…