The official statistics framework is based on internationally agreed standards, taking into account the core principles of impartiality, objectivity, professional independence, cost effectiveness, statistical confidentiality, minimisation of the reporting burden and high output quality. Since the latest 2007 global economic crisis, a growing demand for more, better and timelier data under limited resources for compilers and reporting agents has been observed. The concept of experimental statistics becomes more relevant, despite the lower quality in terms of coverage, data sources and harmonised definitions. The main aim of this paper is to present the methodological development of the residential property price index in Croatia from experimental to official statistics, as well as to show corresponding changes in time, which occurred due to the changes in methodological framework, institutional responsibility for compilation, coverage and data sources. A general conclusion of the paper is that publication of non-harmonized experimental statistics results, together with explanatory metadata, is better from the point of view of users than having nothing produced by official statistics.
The study of DNA microarray gene extraction methods is an important and current area of research. Many researchers study gene ontological character, which contain significant information about symptoms of illnesses in tissues, types of organisms, and the distinguishing of some organisms’ features. DNA microarray gene extraction methods allow us to choose the most significant genes for a given problem and some ways of their extraction. In this article, we aim to compare three methods of gene extraction. The first and second types are based on, respectively, the modified Fisher and F statistics methods. The last one is based on the novel experimental statistics called A. A common element of those three methods is the way in which we choose genes after the calculation of decision classes’ separation ratio. Additionally, all three algorithms are based on the idea of central class separation from other decision concepts. We use our best 8v1.4 granular weighted voting classier as the basic element of comparison of our gene selection methods. The results of the research show that A statistics are better than other methods in all cases. In this article the best one is the SAM10 method, which works well for a small number of genes - less than one hundred. For a higher number of separated genes the SAM5 method is better - its effectiveness has been proven in recent published works.
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