EWNA charts for monitoring the mean and the autocovariances of stationary processes

In this paper various types of EWMA control charts are introduced for the simultaneous monitoring of the mean and the autocovariances. The target process is assumed to be a stationary process up to fourth-order or an ARMA process with heavy tailed innovations. The case of a Gaussian process is included in our results as well. The charts are compared within a simulation study. As a measure of the performance the average run length is taken. The target process is an ARMA (1,1) process with Student-t distributed innovations. The behavior of the charts is analyzed with respect to several out-of-control models. The best design parameters are determined for each chart. Our comparisons show that the multivariate EWMA chart applied to the residuals has the best overall performance.     

Progressively Type-II right censored order statistics from discrete distributions

Progressively Type-II right censored order statistics from continuous distributions have been studied rather extensively in the literature; see Balakrishnan and Aggarwala [2000. Progressive Censoring: Theory, Methods and Applications. Birkhäuser, Boston]. In this paper, we derive the joint and marginal distributions of progressively Type-II right censored order statistics from discrete distributions. We then use these distributions to show the non-Markovian property as well as to discuss some properties in the special case of the geometric distribution.     

Belorussian Culture in the Sixteenth Century

The autobiographical writings of the sometime Canadian resident Ilona Duczynska (1897–1978), born near Vienna of a Polish father and Hungarian mother (both of the lower nobility), were designed to show how experiences within the family during childhood and youth led to her becoming a revolutionary. Duczynska claimed to have experienced a species of class struggle—involving the families of her idealized father and her much criticized mother—that brought about the death of the former and marked her personally with the sign of inferiority. It followed, then, that education was powerless to amend what Duczynska decided she had already ‘learned’ within the family, including her malcontent father’s characteristic spirit of negation. Consequently, Duczynska describes the various stages of her distinctly privileged education in Austria, Germany, Switzerland and Hungary—almost entirely in terms of how she availed herself of opportunities to take a ‘stand’ against existing institutions. Inevitably, in 1922 even the ‘party school’ of the Hungarian Communist Party forfeited her confidence. Further research, drawing on psychological insights, may show why Duczynska’s family experiences should have led to a mistrust of the family as an institution, fascination with ‘revolutionary violence’, and life-long hatred of liberal democratic (and capitalist) institutions.     

Film Studies in Post-War Poland: Tradition and Innovation

This paper sets out a case for identifying a Carpathian Sprachbund comprising Czech, Slovak, Slovene, Kajkavian Croatian, Hungarian, Yiddish and the Bavarian-Austrian dialect of German. It investigates the distribution of eleven possible Sprachbund-forming features: five phonological (absence of tones, initial stress, phonemic opposition of length in vowels, absence of a palatalization correlation, the presence of medial l), six morpho-syntactical (a basic three-tense verbal system, an analytical future formed with an inchoative plus the infinitive, an original perfect as the only simple preterite, a pluperfect formed from a double perfect, a pre-posed definite and indefinite article). The information gathered comfortably satisfies the minimal conditions for establishing the existence of a Sprachbund set out by Sarah Grey Thomason, W.P. Schmid and others. The levels of participation of the individual languages also seem to be commensurable with those of the languages of the well known Balkan Sprachbund as set forth by Jouko Lindstedt.     

A mixed model analysis of variance for multi-environment variety trials

Of interest is the analysis of data resulting from a series of experiments repeated at several environments with the same set of plant varieties. Suppose that the experiments, multi-environment variety trials (as they are called), are all conducted in resolvable incomplete block designs. Adopting the randomization-derived mixed model obtained in Caliński et al. (Biometrics 61:448–455, 2005), a suitable analysis of variance methodology is considered and relevant test procedures are examined. The proposed methods are illustrated by the analysis of results of a series of trials with rye varieties.     

“Classic ageism” or “brutal economy”? Old age and older people in the Polish media

This article explores media discourse of ageing, taking the example of Poland and relating it to a broader discussion of ageing policy. The discourse in news magazines appears both to reflect and create attitudes towards older people, which in turn has implications for ageing policy. To reveal the nature of these attitudes, we use a method of attitudinal positioning. The study analyzes articles that appeared in the four largest Polish weekly opinion news magazines, in the 2004–2007 period. Various domains in the discourse of ageing are identified, yet only the family and market domains seem to be described in exclusively positive terms: the authors discuss the implications of this for ageing policy.     

A most bias-robust estimate of the location parameter: a general existence theorem

It is well known (HUBER, 1981) that, for symmetrical and unimodal parent distributions, the most asymptotic-bias-robust estimate of the location parameter under e-contamination is the sample median. We show, without any assumptions on symmetry and unimodality, that the most bias-robust estimate exists for every finite sample size. The main result of the paper consists in constructing an appropriate statistical model which differs from that considered by HUBER     

A Note on Estimation in Hilbertian Linear Models

We study estimation and prediction in linear models where the response and the regressor variable both take values in some Hilbert space. Our main objective is to obtain consistency of a principal component‐based estimator for the regression operator under minimal assumptions. In particular, we avoid some inconvenient technical restrictions that have been used throughout the literature. We develop our theory in a time‐dependent setup that comprises as important special case the autoregressive Hilbertian model.