Category: Publikacije

  • BILTEN Statističnega društva Slovenije, februar 2025

    Objavljamo 65. številko Biltena Statističnega društva Slovenije.

    Hvala vsem, ki ste sodelovali pri tokratni izdaji Biltena in vabljeni še naprej, da strokovne in aktualne prispevke, zapise o udeležbah na različnih strokovnih dogodkih, napovedi ali o drugih zanimivostih, ki se vam zdijo vredni, da jih objavimo in z njimi seznanimo statistično javnost, sproti pošiljate uredništvu.

    Uvodnik

    Priznanja Statističnega društva Slovenije 2023 in 2024
    Prejemnica Blejčevega priznanja za leto 2023: Irena Rauter Repija
    Sledilnik, priznanje odličnosti statističnega poročanja v medijih, za leto 2023 je prejela Zdenka Bakalar
    Prejemnica Blejčevega priznanja za leto 2024: dr. Maja Pohar Perme
    Sledilnik, priznanje odličnosti statističnega poročanja v medijih, za leto 2024 je prejel Marko Milenković

    Zanimivosti, aktivnosti društva Republike Slovenije
    O Statističnem dnevu 2024
    Evropske statistične igre
    Aktivnosti mlade sekcije Statističnega društva Slovenije v letih 2023 in 2024
    Konferenca Applied Statistics 2024
    Konferenca IFCS 2024
    Letni posvet »Spletni paneli in kombinirani načini anketiranja 2024«
    40 let Družboslovne informatike
    23. Evropsko srečanje mladih statistikov (EYSM)
    Agenda 2030 kot koda za ustvarjalnost, interaktivnost in povezanost s statistiko

    Magistrske naloge in drugi prispevki
    Sodelovanje raziskave SHARE in platforme za neenakosti v zdravju
    Ukrepi za izboljšave sistema državne statistike Republike Slovenije kot odziv na priporočila strokovnega pregleda
    Statistični kazalniki kakovosti in učinkovitosti oskrbe pacientov s koronarno boleznijo
    Jezikovna analiza vprašanj s samomorilno tematiko v spletni svetovalnici to sem jaz
    Modelno ocenjevanje podatkov o namenu reje določenih kategorij goveda
    Prenova SiStat Podatkovne baze
    Verjetnostni spletni panel 1KA: inovacija v anketnem raziskovanju
    Statistični urad je narodni zaklad: 80. obletnica Statističnega urada RS
    Ogrlica Burje (La Collana della Bora)
    Delavnice spoznavanja statistike skozi igro

    Skupščina društva – Zapisnik
    Zapisnik 33. redne in volilne skupščine Statističnega društva Slovenije

    BILTEN Statističnega društva Slovenije, februar 2025

  • Skenirani pretekli članki iz revije Metodološki zvezki

    Revija Metodološki zvezki oziroma Advances in Methodology and Statistics izhaja od leta 1987. Revija spodbuja znanstveni razvoj metodologije in raziskav z uporabo kvantitativnih, kvalitativnih in mešanih metod. Prizadeva si tudi za objavo novih statističnih metod in modelov ter inovativnih aplikacij statističnih metod za reševanje praktičnih problemov. Revija je indeksirana v bazi Scopus.

    Na priloženi povezavi najdete vse skenirane članke objav v reviji do vključno leta 2004.

  • BILTEN Statističnega društva Slovenije, junij 2023

    Objavljamo 64. številko Biltena Statističnega društva Slovenije.

    Hvala vsem, ki ste sodelovali pri tokratni izdaji Biltena in vabljeni še naprej, da strokovne in aktualne prispevke, zapise o udeležbah na različnih strokovnih dogodkih, napovedi ali o drugih zanimivostih, ki se vam zdijo vredni, da jih objavimo in z njimi seznanimo statistično javnost, sproti pošiljate uredništvu.

    Uvodnik

    Priznanja Statističnega društva Slovenije 2022
    Prejemnik Blejčevega priznanja za leto 2022: dr. Velimir Bole
    Sledilnik, priznanje odličnosti statističnega poročanja v medijih, za leto 2022 je prejel Miha Jenko

    Aktivnosti

    O Statističnem dnevu 2022
    Evropske statistične igre
    Aktivnosti mlade sekcije Statističnega društva Slovenije v letu 2022 in njeni načrti
    Do Mednarodne ekonomske olimpijade tudi z znanjem statistike
    Raziskava SHARE in 7. Konferenca uporabnikov podatkov SHARE na Bledu 2022
    Delovanje projekta YoungStatS v letu 2022 in naši načrti v prihodnje
    Delovanje pobude Sledilnik COVID-19 in znanstvenega društva Sledilnik v letu 2022
    Konferenca IFCS 2022, Porto, Portugalska

    Magistrske naloge

    Odnos slovenske družbe do institucionalne ureditve množičnih migracij
    Merjenje učinkovitosti nabav zdravil
    Popravki pri večkratnem testiranju: primer gibanja cen emisijskih kuponov

    Zanimivosti

    Vpliv epidemije na komunikacijo z dajalci podatkov in na zbiranje podatkov
    Sodelovanje v izzivu prikaza podatkov brez risanja in pisanja

    Organizacijsko učenje in učeča se organizacija
    Zanimivosti z nostalgičnim pridihom: Šestica

    Skupščina društva – zapisnik
    Zapisnik 32. redne skupščine Statističnega društva Slovenije
    Pravilnik o podeljevanju priznanj Statističnega društva Slovenije

  • BILTEN Statističnega društva Slovenije, junij 2022

    Objavljamo 63. številko Biltena Statističnega društva Slovenije. Namen Biltena je obveščanje članov o delu društva in njegovih organov in izmenjavi mnenj o strokovnih vprašanjih. Izhaja približno enkrat letno, vendar le, če je dovolj prispevkov.

    Hvala vsem, ki ste sodelovali pri tokratni izdaji Biltena in vabljeni, da strokovne in aktualne prispevke, zapise o udeležbah na različnih strokovnih dogodkih, napovedi ali o drugih zanimivostih, ki se vam zdijo vredni, da jih objavimo in z njimi seznanimo statistično javnost, sproti pošiljate uredništvu.

    Uvodnik
    Priznanja Statističnega društva Slovenije 2020 in 2021

    Prejemnik Blejčevega priznanja za leto 2020: dr. Vladimir Batagelj
    Prejemnik priznanja Klemna Pavliča mlademu statistiku za leto 2020: dr. Marjan Cugmas
    Prejemnik priznanja odličnosti statističnega poročanja v medijih za leto 2020: Sledilnik COVID-19
    Prejemnica Blejčevega priznanja za leto 2021: dr. Lea Bregar
    Prejemnik priznanja Klemna Pavliča mlademu statistiku za leto 2021: Damjan Manevski, mag. mat.


    Domači in mednarodni dogodki

    Delovanje mlade sekcije Statističnega društva Slovenije
    Konferenca Uporabna statistika – Applied Statistics 2021
    Projekt YoungStatS: Prihodnost statistike po času epidemije?
    Srečanje mladih statistikov 2021 – petindvajseto
    Statistični dan 2021
    Evropske statistične igre – petič
    Delovna skupina za statistiko v okviru slovenskega predsedovanja Svetu EU
    Dogodek v okviru slovenskega predsedovanja Svetu EU: Sestanek generalnih direktorjev Evropskega statističnega sistema (ESS): Timeliness Matters: Ways to Stay Ahead


    Novost, predlog in zanimivosti
    STEDy – statistični izobraževalni portal
    Uporaba metod strojnega učenja pri napovedovanju cen elektrike lahko pomembno vpliva na dobičkonosnost poslovanja udeležencev na trgih električne energije
    Vpogled v vsebino vprašanj mladih v 20-letnem delovanju spletne svetovalnice To sem jaz

    Prof. dr. Irena Ograjenšek je postala častna članica evropske mreže za poslovno in industrijsko statistiko
    Prispevek prof. dr. Irene Ograjenšek k razumevanju dometa in omejitev uradne statistike v procesu statističnega vrednotenja pandemije bolezni covid-19
    Predlog za vpis Statističnega društva Slovenije in njegovih članov v SAZOR
    Planiški rekordi


    Skupščine društva – zapisniki
    Zapisnik 29. redne in volilne skupščine Statističnega društva Slovenije
    Zapisnik 30. redne skupščine Statističnega društva Slovenije
    Zapisnik 31. redne skupščine Statističnega društva Slovenije

  • BILTEN Statističnega društva Slovenije, maj 2020

    tab1
    BILTEN, maj 2020

    Letnik XLII, št. 63, maj 2020, ISSN 2536-4146: Objavljeno v Digitalni knjižnici Slovenije (dLib)

    VSEBINA

    • Uvodnik

    Priznanja Statističnega društa Slovenije 2019

    • Priznanje odličnosti statističnega poročanja v medijih
    • Častni član Statističnega društva Slovenije 2019: Bogdan Grmek

    Priznanja Statističnega društa Slovenije 2018

    • Prejemnik Blejčevega priznanja za leto 2018: dr. Vasja Vehovar
    • Priznanje odličnosti statističnega poročanja v medijih za leto 2018 Portalu pod črto
    • Častni član statističnega društva Slovenije 2018: Dr. Herwig Friedl

    Domači in mednarodni dogodki

    • Ustanovitev Mlade sekcije statističnega društva slovenije in njeno delovanje
    • Konferenca Uporabna statistika – Applied Statistics 2019
    • Srečanje mladih statistikov 2019
    • Evropske statistične igre
    • Statistični dan 2020: Podnebna kriza – vroči podatki
    • Statistični dan 2019: Spoznajmo D1G1TALI1ZAC1JO
    • 75 let slovenske uradne statistike
    • Statistično gledano – SURS-ova razstava infografik
    • Poletna šola Codata-RDA za skrbnike podatkov
    • Ambasadorka pri evropskem delu združenja za raziskovalne podatke (RDA)

    Seminarji

    • MMR za razvoj raziskav z integracijo kvantitativne in kvalitativne metodologije v humanističnih, družboslovnih in zdravstvenih vedah
    • Raziskovanje z integracijo metod za razumevanje in obvladovanje kompleksnega sveta: Najodmevnejši izsledki MMIRA 2019
    • Mednarodno srečanje generalnih direktorjev Statističnih uradov in vodij statistike nacionalnih centralnih bank o izzivih in rešitvah, povezanih z upravljanjem podatkov
    • Poročilo z letnega srečanja skupine v7

    Izobraževanje

    • Interdisciplinarni doktorski študijski program Statistika 2018/19
    • Povzetek doktorske disertacije: Vpliv lokalnih mehanizmov na razvoj bločnih modelov

    Novosti

    • Predavanja na IBMI
    • Surs prenavlja podatkovno bazo SiStat
    • Podatkovna zbirka raziskave o zdravju, procesu staranja in upokojevanju v Evropi (SHARE)
    • Nova zakonodaja in z njo povezane spremembe pri poslovnih statistikah
    • Terminološka komisija: Kako naj rečem?

    Skupščina Statističnega društva Slovenije

    • Zapisnik 28. redne skupščine statističnega društva slovenije
  • Metodološki zvezki, Vol. 16, No. 1 & 2, 2019

    Advances in Methodology and Statistics

    An Empirical Likelihood Ratio Based Comparative Study on Tests for Normality of Residuals in Linear Models

    2019    Chioneso Show Marange and Yongsong Qin16(1):1-16

    The application of goodness-of-fit (GoF) tests in linear regression modeling is a common practice in applied statistical sciences. For instance, in simple linear regression the assumption of normality of residuals is always necessary to test before making any further inferences. The growing popularity of the use of powerful and efficient empirical likelihood ratio (ELR) based GoF tests in checking for departures from normality in various continuous distributions can be of great use in checking for distributional assumptions of residuals in linear models. Motivated by the attractive properties of the ELR based GoF tests the researchers conducted an extensive Type I error rate assessment as well as a Monte Carlo power comparison of selected ELR GoF tests with well-known existing tests against symmetric and asymmetric alternative OLS and BLUS residuals. Under the simulated scenarios, all the studied tests have good control of Type I error rates. The Monte Carlo experiments revealed the superiority of the ELR GoF tests under certain alternatives of both the OLS and BLUS residuals. Our findings also demonstrated the superiority of OLS over BLUS residuals when one is testing for normality in simple linear regression models. A real data study further revealed the applicability of the ELR based GoF tests in testing normality of residuals in linear regression models.

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    Mechanisms Generating Asymmetric Core-Cohesive Blockmodels

    2019    Marjan Cugmas, Aleš Žiberna and Anuška Ferligoj16(1):17-41

    The paper addresses the relationship between different local network mechanisms and different global network structures, described by blockmodels. The research question is narrowed to the context of preschool children networks. Based on the studies regarding friendship, liking and interactional networks among preschool children, the popularity, transitivity, mutuality and assortativity mechanisms are assumed to be important for the evolution of such networks. It is assumed that the global network structure is defined by an asymmetric core-cohesive blockmodel consisting of one core group of units and two or more cohesive groups of units. Therefore, the main research question is whether the emergence of an asymmetric core-cohesive blockmodel can be a result of the influence of the listed mechanisms. Different initial global network structures are considered. Monte Carlo simulations were used. The relative fit measure is proposed and used to compare different blockmodel types on generated networks. The results show that the listed mechanisms indeed lead to the assumed global network structure.

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    Two Stage Adaptive Cluster Sampling based on Ordered Statistics

    2019 Girish Chandra, Neeraj Tiwari and Raman Nautiyal; 16(1): 43-60

    The estimation problem on sparsely distributed populations using adaptive cluster sampling (ACS) is discussed. In the first phase of ACS, two stage sampling is used in which primary and secondary sampling units are selected using simple random sampling without replacement. The idea of Thompson (1996) is introduced in order to choose an appropriate fixed value of pre-specified condition, which might represent the number of rare species, before conducting the survey by the use of order statistics. Different estimators of the population mean under the two possible schemes (open and closed boundaries of primary sampling units) are studied and the Rao-Blackwell theorem for improving these estimators is also used. Numerical illustrations, one on real life data and the other based on simulation study, are discussed for these two schemes. This design may be quite useful in environmental, forestry and other areas of research dealing with rare, endangered or threatened species.

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    Effects of the Same-Gender vs. Cross-Gender Mentoring on a Protégé Outcome in Academia: An Exploratory Study

    2019 Metka Kogovšek and Irena Ograjenšek; 16(1): 61-78

    Mentoring seems to be an important way to start and advance individual researcher’s career in science. Therefore, it is essential to examine the factors related to successful mentoring in order to find ways of efficiently supporting young academics on their career development path. Building on the similarity-attraction and social identity theories, our research indicates that gender similarity in academic mentoring might be related to the protégés’ postdoctoral publication scores that lead to career advancement. The scores in a typical five-year publication cycle are higher for the protégés situated within same-gender mentoring dyads. Furthermore, the mentors’ research performance importantly adds to the protégés’ postdoctoral research performance.

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    Delphi Method: Strengths and Weaknesses

    2019 Danica Fink-Hafner, Tamara Dagen, May Doušak, Meta Novak, and Mitja Hafner-Fink; 16(2): 1-19

    The paper presents the Delphi method and tests its usefulness when searching for a consensus on definitions, especially in a particular social science field. Based on an overview of the characteristics and uses of the Delphi method, a special Delphi design for searching for minimal common definitions of globalisation, Europeanisation and internationalisation in higher education and their mutual relationships is presented in detail. While the method proved valuable, its strengths and weaknesses are also discussed. Finally, ideas for adjusting the Delphi method are proposed.

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    Wellbeing Assessment Yardstick: Evidence from the Elderly Wellbeing across Russian Subnational Macro-Regions

    2019 Irina Pavlova, Ilya Gumennikov, Evgeny Monastyrny, and Elena Golubeva; 16(2): 21-40

    Although Russia manifests some dynamics in its national policy on ageing, it still lacks comprehensive tools for the older generation wellbeing assessment both on national and regional levels. This research work is an ongoing project aimed at the development of the composite index (composite indicator) to assess the elderly population wellbeing in Russia for cross-regional comparison to equip Russian policy-makers with an essential tool and relevant reliable data to facilitate the decision-making and policy design at national, regional and local levels. The paper discusses the possibility of selecting relevant data from the pool of the official state statistics indicators to assess the elderly generation’s wellbeing in 85 regions of the Russian Federation by four index domains (economic, social, health and regional environment dimensions). Due to a high geographical and territorial heterogeneity, this index can be advised to be adopted as a potential tool to monitor wellbeing across Russian regions with the focus on policy development for macro-regions. This grouping of regions can minimize transaction costs of bargaining on behalf of the 85 regions while developing national policies and strategies. The paper employs the Russian Elderly Wellbeing Index (REWI) to compare calculation results for 2014 and 2016 as well as addresses the issue of elderly population wellbeing analysis on the meso level in the context of federal districts. The authors run cluster analysis for the REWI indicators to compare clusters of Russian regions and federal districts.

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    Measuring Personal Networks with Surveys

    2019 Tina Kogovšek and Valentina Hlebec; 6(2): 41-55

    Like in other fields of inquiry in the social sciences, in social network research the most frequently used measurement method is the survey. Compared with other measurement objects such as networks of opinions, attitudes or values, measurement is more complex and thus often more challenging. Measurement typically occurs in two main phases. First, network units are measured (generated). Second, the relationships among the units and other unit characteristics (e.g. demographic properties) are determined, while some specific questions arise as to whether whole or egocentric (personal) networks are to be measured. In this paper, we limit ourselves to measuring personal networks, especially when compared with different methods for generating networks. There are five basic approaches to generating a personal network: name generator, role generator, event generator, positional generator, and contextual generator. Each is associated with particular research goals, costs (financial, time, respondent burden), advantages, and limitations. Moreover, the complexity and specifics of generating networks mean one must consider the characteristics of data collection modes (e.g. face-to-face, telephone, web). In this sense, we will present the advantages and limits of various methods of generating personal networks, evaluate them critically and comparatively, and illustrate them with often used examples.

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    The Bad Mathematics of the Bad Luck Theory

    2019 Mariia Beliaeva; 6(2): 58-69

    The mathematics of the Bad Luck theory of carcinogenesis by Tomasetti and Vogelstein generated a great deal of controversy among cancer specialists but did not draw the mathematicians’ attention. Thus the gross mathematical mistakes of the theory foundation did not get a proper critique and remained unnoticed. As a result, the sensational quantitative estimates of the role of Bad Luck in cancer occurrence, though being erroneous, have spread widely among researchers and the general public and got the unfair popularity. The present paper reviews the actual mathematical mistakes of Bad Luck theory.

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  • Metodološki zvezki, Vol. 15, No. 1 & 2, 2018

    Advances in Methodology and Statistics

    Comparing Two Partitions of Non-Equal Sets of Units                                       

    2018    Marjan Cugmas and Anuška Ferligoj; 15(1):1-21

    Rand (1971) proposed what has since become a well-known index for comparing two partitions obtained on the same set of units. The index takes a value on the interval between 0 and 1, where a higher value indicates more similar partitions. Sometimes, e.g. when the units are observed in two time periods, the splitting and merging of clusters should be considered differently, according to the operationalization of the stability of clusters. The Rand Index is symmetric in the sense that both the splitting and merging of clusters lower the value of the index. In such a non-symmetric case, one of the Wallace indexes (Wallace, 1983) can be used. Further, there are several cases when one wants to compare two partitions obtained on different sets of units, where the intersection of these sets of units is a non-empty set of units. In this instance, the new units and units which leave the clusters from the first partition can be considered as a factor lowering the value of the index. Therefore, a modified Rand index is presented. Because the splitting and merging of clusters have to be considered differently in some situations, an asymmetric modified Wallace Index is also proposed. For all presented indices, the correction for chance is described, which allows different values of a selected index to be compared.

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    Web Survey Paradata on Response Time Outliers: A Systematic Literature Review                                                             

    2018    Miha Matjašič, Vasja Vehovar and Katja Lozar Manfreda; 15(1):23-41         

    In the last two decades, survey researchers have intensively used computerised methods for the collection of different types of paradata, such as keystrokes, mouse clicks and response times, to evaluate and improve survey instruments as well as to understand the survey response process. With the growing popularity of web surveys, the importance of paradata has further increased. Within this context, response time measurement is the prevailing paradata approach. Papers typically analyse the time (measured in milliseconds or seconds) a respondent needs to answer a certain item, question, page or questionnaire. One of the key challenges when analysing the response time is to identify and separate units that are answering too quickly or too slowly. These units can have a poor response quality and are typically labelled as response time outliers. This paper focuses on approaches for identifying and processing response time outliers. It presents a systematic overview of scientific papers on response time outliers in web surveys. The key observed characteristics of the papers are the approaches used, the level of time measurement, the processing of response time outliers and the relationship between response time and response quality. The results show that knowledge on response time outliers is scattered, inconsistent and lacking systematic comparisons of approaches. Consequently, there is a need to improve and upgrade the knowledge on this issue and to develop new approaches that will overcome existing deficiencies and inconsistencies in identifying and dealing with response time outliers.

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    Behind the Curve and Beyond: Calculating Representative Predicted Probability Changes and Treatment Effects for Non-Linear Models                                       

    2018    Bastian Becker; p. 15(1):43-58         

    Parameter coefficients from non-linear models are inherently difficult to interpret, and scholars frequently opt for computing and comparing predicted probabilities for variables of interest. In an influential article, Hanmer and Ozan Kalkan (2013) discuss the two most common approaches, the average case respectively observed values approach, and make a strong case for the latter. In this paper, I propose a further refinement of the observed values approach for the purpose of computing predicted probability changes. This refinement concerns the use of counterfactual values for the independent variable of interest. I demonstrate that accounting for non-linearities with regards to the variable of interest is important to avoid estimation biases. I also discuss the implications of this insight for estimating average treatment effects from observational data.

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    Gumbel GARCH Model with Stock Application                                           

    2018    Mehrnaz Mohammadpour and Fatemeh Ziaeenejad; p. 15(1):59-72                                                                               

    The paper proposes a new GARCH model with Gumbel conditional distribution. Several statistical properties of the model are established, like autocorrelation function and stationarity. We consider two methods for estimating the unknown parameters of the model and investigate properties of the estimators. The performances of the estimators are checked by a simulation study. We investigate the application of the process using a real stock data.

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    Internal Evaluation Criteria for Categorical Data in Hierarchical Clustering: Optimal Number of Clusters Determination                   

    2018    Zdeněk Šulc, Jana Cibulková, Jiřı́ Procházka and Hana Řezanková ; p. 15(2):1-20                        

    The paper compares 11 internal evaluation criteria for hierarchical clustering of categorical data regarding a correct number of clusters determination. The criteria are divided into three groups based on a way of treating the cluster quality. The variability-based criteria use the within-cluster variability, the likelihood-based criteria maximize the likelihood function, and the distance-based criteria use distances within and between clusters. The aim is to determine which evaluation criteria perform well and under what conditions. Different analysis settings, such as the used method of hierarchical clustering, and various dataset properties, such as the number of variables or the minimal between-cluster distances, are examined. The experiment is conducted on 810 generated datasets, where the evaluation criteria are assessed regarding the optimal number of clusters determination and mean absolute errors. The results indicate that the likelihood-based BIC1 and variability-based BK criteria perform relatively well in determining the optimal number of clusters and that some criteria, usually the distance-based ones, should be avoided.

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    Mode Effects on Socially Desirable Responding in Web Surveys Compared to Face-to-Face and Telephone Surveys

    2018    Nejc Berzelak and Vasja Vehovar ; p. 15(2):21-43         

    This paper elaborates upon differences in socially desirable responding as being the result of mode effects between web, telephone, and face-to-face survey modes. Social desirability is one of the main threats to comparability of data between different modes. The paper conceptualises socially desirable responding as a specific type of mode effect, which is not only a result of inherent characteristics of a survey mode, but is also mediated and moderated by complex interdependencies of specific survey implementations, contextual factors, and characteristics and behaviours of respondents. While web surveys are generally less prone to socially desirable responding, it is essential to be wary of circumstances that may reduce the perceived privacy of the survey situation and lead to biased reporting. The presented empirical study analyses the answers to a large number of items used in a pilot implementation of the Generations and Gender Survey across the three modes to gain insights into the incidence of socially desirable responding and its role in the observed differences in estimates. The comparison of means, distributions, and proportions of extreme responses to scale questions is performed across 89 survey items. The results are inline with the previous findings on lower susceptibility of web surveys to social desirability bias. More importantly, the findings suggest that the problem of socially desirable responding is likely to be a major contributor to the differences in mean estimates, response distributions, and the level of extreme responding between the studied modes.

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    Estimation of Power Function Distribution Based on Selective Order Statistic                                      

    2018    Mohd T. Alodat, Mohammad Y. Al-Rawwash and Sameer A. Al-Subh; p. 15(2):45-56         

    In this article, we present the selective order statistic sampling scheme as a promising approach to estimate the parameter of the univariate power function distribution. We derive the maximum likelihood estimator and the method of moments estimator of the power function distribution parameter as well as the reliability parameter and the ratio of two means. Moreover, we derive the asymptotic properties of the proposed estimators. Finally, we conduct simulation studies to investigate the performance of the selective order statistic scheme and concluded that it suits the power function distribution and we found that the maximum likelihood estimator is better than the method of moments estimator under the selective order statistic sampling scheme.

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  • Metodološki zvezki, Vol. 14, No. 1 & 2, 2017

    Advances in Methodology and Statistics

  • BILTEN Statističnega društva Slovenije, april 2018

    VSEBINA

    • Uvod

    Priznanja Statističnega društva Slovenije 2017

    • Podelitev priznanj
    • Prejemnica Blejčevega priznanja
    • Priznanje odličnosti statističnega poročanja v medijih
    • Častni član Statističnega društva Slovenije
    • Priznanja mladih statistikov
    • Uporaba psevdo vrednosti v analizi relativnega preživetja
    • Generiranje omrežij z upoštevanjem različnih tipov triad
    • Intervali zaupanja za test Mann-Whitney

    Ob 70-letnici prof. dr. Anuške Ferligoj

    Domači in mednarodni dogodki

    • Konferenca Uporabna statistika 2017
    • Uvajanje e-poročanja na kratkoročnih poslovnih statistikah
    • Statistični dan 2018 – Moč podatkov
    • Strokovni seminar – Kombinirani načini zbiranja podatkov
    • 22. srečanje mladih statistikov – Kaj raziskujejo doktorski študenti statistike?
    • Delavnica o simbolni analizi podatkov SDA 2017
    • Razvrščanje simbolnih podatkov z relacijsko omejitvijo: Demografske strukture po spolu in starosti po Evropi
    • Konferenca ICOS2017 v Sarajevu
    • Letno srečanje skupine V7

    Aktualno

    • Dvajset let arhiva družboslovnih podatkov
    • Konzorcij arhivov družboslovnih podatkov (CESSDA)
    • Statistika za boljši svet
    • Evropske statistične igre
    • Dogodki Ekonomske fakultete v Ljubljani

    Izobraževanje

    • Predavanja na IBMI – Vzorci v glasbi
    • Povzetki doktorskih disertacij

    Raziskujemo

    • Uporaba mikro podatkov za razvoj mikrosimulacijskih modelov
    • Vpliv volitev in drugih pomembnejših dogodkov na zaupanje potrošnikov v Sloveniji

    Zanimivo

    • Nemoč anketnih raziskav

    Skupščina

    • Zapisnik 26. redne skupščine Statističnega društva Slovenije
  • Bilten ob 40-letnici delovanja društva

    VSEBINA

    • Uvod
    • Časovnica 40 let

    Mandatno obdobje 2007-2008

    • 14. redna skupščina Statističnega društva Slovenije
    • Interdisciplinirani podiplomski program Statistika
    • Kodeks ravnanja evropske statistike
    • Revija Metodološki zvezki v letu 2007
    • Delo izvršnega odbora
    • Predavanje na Inštitut za biostatistiko in medicinsko informatiko 2007
    • Statistično posvetovanje – Radenci 2007
    • Predsedovanje Slovenije svetu EU na področju statistike
    • Predavanje na Inštitut za biostatistiko in medicinsko informatiko 2008
    • 15. redna skupščina Statističnega društva Slovenije
    • Mednarodna metodološka poletna šola 2008
    • Konferenca Uporabna statistika 2008
    • 13. srečanje mladih statistikov
    • Statistično posvetovanje – Radenci 2008
    • 16. redna skupščina Statističnega društva Slovenije
    • Deset let Arhiva družboslovnih podatkov
    • Revija Metodološki zvezki v letu 2008

    Mandatno obdobje 2009-2010

    • 17. redna skupščina Statističnega društva Slovenije
    • Revija Metodološki zvezki v letu 2009
    • Mednarodna metodološka poletna šola 2009
    • Statistično posvetovanje – Radenci 2009
    • 18. redna skupščina Statističnega društva Slovenije
    • Konferenca ICOST-8 v Ljubljani
    • 15. srečanje mladih statistikov
    • 20. mednarodno posvetovanje statistikov – Radenci 2010
    • Populariziranje statistike
    • Popis kmetijstva 2010

    Mandatno obdobje 2011-2012

    • 19. redna skupščina Statističnega društva Slovenije
    • Prijava na razpis za sofinanciranje konference
    • Mednarodno posvetovanje statistikov – Radenci 2011
    • Registrski popis prebivalstva 2011
    • Metodološki priročniki
    • Prva podelitev priznanj Statističnega društva Slovenije
    • Nov logotip društva
    • Selitev SURS-a in sedeža SdS v palačo DSU
    • SdS in SURS skleneta sporazum o sodelovanju
    • 20. redna skupščina Statističnega društva Slovenije
    • Volitve predsedstva Statističnega društva Slovenije
    • Deset let izvajanja doktorskega študijskega programa Statistika
    • Doktorski študijski program Statistika
    • Ustanovitev in izvajanje magistrskega programa uporabna statistika na UL
    • Poletna šola družboslovnih metod in tehnik 2012
    • Konferenca Uporabna statistika 2012
    • 17. srečanje mladih statistikov
    • Zaključki statističnih dnevov 2012 – Radenci 2012

    Mandatno obdobje 2013-2014

    • 21. redna skupščina Statističnega društva Slovenije
    • Novo vodstvo na Statističnem uradu RS
    • Predsednik društva je postal redni profesor
    • Revija metodološki zvezki v letu 2013
    • Mednarodni statistični inštitut
    • Srečanje predstavnikov statističnih društev V6 v letu 2013
    • Blog Udomačena statistika v letu 2013
    • Statistični dan 2013
    • Podelitev priznanj Statističnega društva Slovenije za leto 2013
    • 70 let slovenske uradne statistike
    • 22. redna skupščina Statističnega društva Slovenije
    • Svet združenja Mednarodnega statističnega inštituta
    • Srečanje šestih statističnih društev V6 v letu 2014
    • Konferenca evropske federacije statističnih deležnikov FENStatS
    • Blog Udomačena statistika v letu 2014
    • Revija Metodološki zvezki v letu 2014
    • Statistični dan 2014
    • Podelitev priznanj Statističnega društva Slovenije za leto 2014

    Mandatno obdobje 2015-2016

    • 23. redna skupščina Statističnega društva Slovenije
    • Podelitev priznanj Statističnega društva Slovenije za leto 2015
    • Statistični dan 2015
    • Drugi svetovni dan statistike 2015
    • Revija Metodološki zvezki v letu 2015
    • 24. redna skupščina Statističnega društva Slovenije
    • Volilna skupščina Statističnega društva Slovenije
    • Podelitev priznanj Statističnega društva Slovenije za leto 2016
    • Konferenca Uporabna statistika 2016
    • 21. srečanje mladih statistikov
    • Evropska noč raziskovalcev
    • Prejemnika nagrade odlični v znanosti 2016

    Leto 2017

    • 26. redna skupščina Statističnega društva Slovenije Statistični dan 2017 Prvi Svetovni forum združenih narodov o podatkih

    In za konec

    V spomin

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