A new geometric first-order integer-valued autoregressive (NGINAR(1)) process

A new stationary first-order integer-valued autoregressive process with geometric marginal distributions is introduced based on negative binomial thinning. Some properties of the process are established. Estimators of the parameters of the process are obtained using the methods of conditional least squares, Yule–Walker and maximum likelihood. Also, the asymptotic properties of the estimators are derived involving their distributions. Some numerical results of the estimators are presented with a discussion to the obtained results. Real data are used and a possible application is discussed.     

SCANAM method for the assessment of industrial noise

Work in an industrial environment is often associated with high levels of noise. For measuring and evaluating of noise levels, sometimes it is necessary to use several instruments. These instruments can be very expensive and require qualified personnel. Medium and small-sized firms often lack sufficient financial resources to ensure continuous measurement and assessment of noise levels. For this reason, a new SCANAM method for assessing the levels of noise is designed. This method involves the use of cheap and accurate sound level meter and specially designed software for assessing the effects of noise. Application of this method is very simple. Based on a noise sample in duration of eight hours, the accuracy of the SCANAM method was confirmed. Application of this method is significantly cheaper than an approach based on the use of expensive multi-function devices, or separate devices for measuring and assessing noise at the workplace.     

What Types of Pornography Do People Use and Do They Cluster? Assessing Types and Categories of Pornography Consumption in a Large-Scale Online Sample

Previous research on exposure to different types of pornography has primarily relied on analyses of millions of search terms and histories or on user exposure patterns within a given time period rather than the self-reported frequency of consumption. Further, previous research has almost exclusively relied on theoretical or ad hoc overarching categorizations of different types of pornography, when investigating patterns of pornography exposure, rather than latent structure analyses of these exposure patterns. In contrast, using a large sample of 18- to 40-year-old heterosexual and nonheterosexual Croatian men and women, this study investigated the self-reported frequency of using 27 different types of pornography and statistically explored their latent structures. The results showed substantial differences in consumption patterns across gender and sexual orientation. However, latent structure analyses of the 27 different types of pornography assessed suggested that although several categories of consumption were gender and sexual orientation specific, common categories across the different types of pornography could be established. Based on this finding, a five-item scale was proposed to indicate the use of nonmainstream (paraphilic) pornographic content, as this type of pornography has often been targeted in previous research. To the best of our knowledge, no similar measurement tool has been proposed before.     

Preference and choice

A theory of preference and choice based on that of von Wright is developed whereby the choice of a state of affairs is determined by preferences between pairs of them. The method used is letting preferences eliminate states of affairs from the choice set according to axiomatized rules. Formal properties of extensions of von Wright's preference logic are investigated.     

On Shifted Geometric INAR(1) Models Based on Geometric Counting Series

Two types of shifted geometric integer valued autoregressive models of order one (SGINAR(1)) are proposed. Both are based on the thinning operator generated by counting series of i.i.d. geometric random variables. Their correlation properties are derived and compared. Also, regression and conditional variance are considered. Nonparametric estimators of model parameters are obtained and their asymptotic characterizations are given. Finally, these two models are applied to a real-life data set and they are compared to some referent INAR(1) models.     

Estimation in a bivariate integer-valued autoregressive process

ABSTRACT

A bivariate integer-valued autoregressive time series model is presented. The model structure is based on binomial thinning. The unconditional and conditional first and second moments are considered. Correlation structure of marginal processes is shown to be analogous to the ARMA(2, 1) model. Some estimation methods such as the Yule–Walker and conditional least squares are considered and the asymptotic distributions of the obtained estimators are derived. Comparison between bivariate model with binomial thinning and bivariate model with negative binomial thinning is given.     

“Grandpa was fatally administered by the Bulgarians1”: Family narratives,national identity,and state history

Grandparents’ World War Two (WWII) stories are emotionally powerful, intimate accounts of firsthand experience that can shape grandchildren's ideas of state history, nation, and identity. This effect, I argue, manifests most intensively in critical times when national history and identity are threatened. Such was the case when former Macedonian Prime Minister Zoran Zaev relayed a controversial version of Macedonian national history and identity in a TV interview. In reaction, many Macedonian citizens shared fragments of their grandparents’ WWII stories. This study analyzes several more detailed versions of these grandparents’ narratives in order to ascertain the formative power of family WWII stories over one's personal sense of national identity. To do so, it will examine the positioning practices of the present-day narrators, the grandchildren of WWII participants, focusing on the manners in which they interactively reproduce their own sense of national identity vis-a-vis-these stories.