Norm restricted maximum likelihood estimators for binary regression models with parametric link

Parametric link transformation families have shown to be useful in the analysis of binary regression data since they avoid th? problem of link misspecifaction. Inference for these models are commonly based on likelihood methods. Duffy and Santner (1988, 1989) however showed that ordinary logistic maximum likelihood estimators (MLE) have poor mean square error (MSE) behavior in small samples compared to alternative norm restricted estimators. This paper extends these alternative norm restricted estimators to binary regression models with any specified parametric link family. These extended norm restricted MLE's are strongly consistent and efficient under regularity conditions. Finally a simulation study shows that an empiric version of norm restricted MLE's exhibit superior MSE behavior in small samples compared to MLE's with fixed known link.     

Robust analysis of variance for a randomized block design

In this paper we study the asymptotic theory of M-estimates and their associated tests for a one-factor experiment in a randomized block design. In this case one natural asymptotic theory corresponds to leaving the number of treatments fixed and letting the number of blocks tend to infinity. The classic asymptotic theory of M-estimates does not apply here, because the number of parameters and the number of observations are of the same order. In this paper we prove the consistency and asymptotic normality of the estimators of the treatment effects. It turns out that the asymptotic covariance matrix of the treatment effects estimators differs from the one derived from the classic theory of M-estimates for the linear model with a fixed number of parameters. We also study a test for treatment effects derived from M-estimates and we compare by Monte Carlo simulation the efficiency of this test with respect to the F-test, the Friedman test and the test based on aligned ranks.     

Forgiving Perpetrators of Violence: Colombian People’s Positions

Colombian people’s positions regarding the granting of forgiveness to persons who have been more or less actively involved in the violence that ravaged the country during the past 60 years were examined. Four hundred lay people living in Bogota were presented with 48 concrete cases in which a former perpetrator of violence (a member of the guerillas, the paramilitary, the military or a drug cartel) asked for forgiveness from a victim’s family. These cases were constructed using a three-factor orthogonal design: Degree of Responsibility × Severity of the Negative Acts Committed × Apologies. Four basic positions were found. The most common one, which was shared by nearly 40 % of the sample, mostly people from the wealthier segments of society, was “no forgiveness under any condition”. Eighteen percent of the participants, mostly from the poorest segments of society, considered that forgiveness could be granted each time the former perpetrators expressed true repentance (and, in the case of former organizers, if they have offered adequate compensation and had not committed very severe crimes). This was the most frequently observed attitude when perpetrators were former members of the paramilitary. Fifteen percent of the participants considered that forgiveness should be systematically granted. Finally, 28 % of the participants were undecided about the issue.     

A New Goodness-of-Fit Test for Censored Data with an Application in Monitoring Processes

In this article, we propose a new goodness-of-fit test for Type I or Type II censored samples from a completely specified distribution. This test is a generalization of Michael's test for censored data, which is based on the empirical distribution and a variance stabilizing transformation. Using Monte Carlo methods, the distributions of the test statistics are analyzed under the null hypothesis. Tables of quantiles of these statistics are also provided. The power of the proposed test is studied and compared to that of other well-known tests also using simulation. The proposed test is more powerful in most of the considered cases. Acceptance regions for the PP, QQ, and Michael's stabilized probability plots are derived, which enable one to visualize which data contribute to the decision of rejecting the null hypothesis. Finally, an application in quality control is presented as illustration.     

Rural Development Policy: Study Case Green Wine Networks

In the international arena, regions are facing several challenges, such as economic disparities compared to other regions, lack of employment opportunities, economic gaps and standards of development. Even if we live in a globalized system, many less-developed regions lack a clear image of the possibility to create a planning draft for a reliable regional development. In this context, it is necessary to address few basic hypotheses that would help us to understand the methodological approach of the given project. The first basic hypothesis deals with: What is the feasibility of the implementation of a strategic planning of development which will be able to promote regional policy agenda in a reliable manner? What would be the validation of theoretical approaches dealing with the creation of a model of cooperation at regional and inter-regional levels? Is it possible to apply this model at different stages of economic development? How can we make the development strategies sustainable and eco-friendly? The project tries to answer in a theoretical but also in a practical manner, the existing challenges at regional levels. Some solutions could even consist in the creation of a model of territorial cooperation that put in accordance, in a cohesive manner, the common interests of such areas. The core study of the present research is a context analysis that helps the targeted less-developed regions to understand, through systematic steps, the geopolitical features and the effective methodology necessary to enhance all their local excellences and to transform them into real opportunities for rural development, not only at local levels but also at the global level. The study deals with the concern increasing competition between regions and the global challenges makes cooperation inevitable in homogeneous areas in territorial and cultural terms. In such a context, coherently with the increasing globalization and its challenges (economic and environmental), the study aims to strengthen the image of the territories of the Adriatic (our specific case study), such as enhancing their specificity in the international markets and driving them towards sustainable development which is considered as the main factor of socio-economic growth.     

Asking elaborate questions: Focus groups and the management of spontaneity

This paper analyzes question formats in a corpus of German market research focus groups. In particular, it identifies and studies the use of 'elaborate questions' (questions which include a range of reformulations and rewordings). The analysis highlights three functions of such questions in focus groups: (a) they are used to guide participants and head off trouble where the question type is 'non-mundane'; (b) they help secure participation by providing an array of alternative items to respond to; (c) they guide participants to produce a range of opinion relevant responses. More generally, they help manage a dilemma between the requirement that the talk should be both highly focused on predefined topics and issues, and at the same time spontaneous and conversational. The analysis provides a range of interactional evidence for the pragmatic role of these formats.     

Eine neue Methode zur Untersuchung von Mikroprozessen in Lerndyaden: Eine Videostudie unter Berücksichtigung von kognitiven Grundfähigkeiten und Zielorientierungen

The study at present uses a new video method with individual audio tracks to investigate micro processes within learning in a simulation based learning setting. Visible and listenable behaviour was coded with regard to peer tutoring and problem solving. The frequencies and durations of these categories were summarized and used as dependent variables in regression models with cognitive abilities and goal orientations as predictors. Results showed that variation in the dyadic interactional behaviour was systematically related to these properties of the partners. For example, while overt problem solving behaviour is related to goal orientations there was no such effect for the cognitive abilities. Implications for the composition of dyadic learning groups and for further video study arrangements applying the new method will be discussed.     

A nonparametric test for similarity of marginals—With applications to the assessment of population bioequivalence

In this paper we suggest a completely nonparametric test for the assessment of similar marginals of a multivariate distribution function. This test is based on the asymptotic normality of Mallows distance between marginals. It is also shown that the n out of n bootstrap is weakly consistent, thus providing a theoretical justification to the work in Czado, C. and Munk, A. [2001. Bootstrap methods for the nonparametric assessment of population bioequivalence and similarity of distributions. J. Statist. Comput. Simulation 68, 243–280]. The test is extended to cross-over trials and is applied to the problem of population bioequivalence, where two formulations of a drug are shown to be similar up to a tolerable limit. This approach was investigated in small samples using bootstrap techniques in Czado, C., Munk, A. [2001. Bootstrap methods for the nonparametric assessment of population bioequivalence and similarity of distributions. J. Statist. Comput. Simulation 68, 243–280], showing that the bias corrected and accelerated bootstrap yields a very accurate and powerful finite sample correction. A data example is discussed.