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Article | 26-May-2019

SURVIVAL REGRESSION MODELS FOR SINGLE EVENTS AND COMPETING RISKS BASED ON PSEUDOOBSERVATIONS

models to be used.  In this paper, a pseudo-observation approach was applied to single-event and competing-risks analysis, with special attention paid to the properties of the pseudo-observations. In the empirical part of the study, the use of regression models based on pseudo-observations in credit-risk assessment was investigated. Default, defined as a delay in payment, was considered to be the event of interest, while prepayment of credit was treated as a possible competing risk. Credits that

Ewa Wycinka, Tomasz Jurkiewicz

Statistics in Transition New Series, Volume 20 , ISSUE 1, 171–188

Research paper | 31-October-2017

CLASSIFICATION PROBLEMS BASED ON REGRESSION MODELS FOR MULTI-DIMENSIONAL FUNCTIONAL DATA

Tomasz Górecki, Mirosław Krzyśko, Waldemar Wołyński

Statistics in Transition New Series, Volume 16 , ISSUE 1, 97–110

Article | 06-July-2017

INFORMATIVE VERSUS NON-INFORMATIVE PRIOR DISTRIBUTIONS AND THEIR IMPACT ON THE ACCURACY OF BAYESIAN INFERENCE

Wioletta Grzenda

Statistics in Transition New Series, Volume 17 , ISSUE 4, 763–780

Article | 06-July-2017

LOCALLY REGULARIZED LINEAR REGRESSION IN THE VALUATION OF REAL ESTATE

advantageous to build local regression models than a global model. Additionally, we propose a local feature selection via regularization. The empirical research carried out on three data sets from real estate market confirmed the effectiveness of this approach. We paid special attention to the model quality assessment using cross-validation for estimation of the residual standard error.

Mariusz Kubus

Statistics in Transition New Series, Volume 17 , ISSUE 3, 515–524

research-article | 15-October-2020

Commentary: How to do personal network surveys: from name generators to statistical modeling

research. It systematically presents the strategies to estimate the size of personal networks. Finally, it describes how to fit statistical analysis to relational data, including regression models, multi-level models, and longitudinal models. Consequently, these are three books that complement each other. With these three volumes, the reader can have a comprehensive and updated overview of the study of the structure of personal networks. Below we focus on evaluating two of the fundamental contributions

Isidro Maya-Jariego

Connections: The Quarterly Journal, Volume 40 , ISSUE 1, 98–102

Article | 06-July-2017

VARIATIONAL APPROXIMATIONS FOR SELECTING HIERARCHICAL MODELS OF CIRCULAR DATA IN A SMALL AREA ESTIMATION APPLICATION

We consider hierarchical regression models for circular data using the projected normal distribution, applied in the development of weights for the Access Point Angler Intercept Survey, a recreational angling survey conducted by the US National Marine Fisheries Service. Weighted estimates of recreational fish catch are used in stock assessments and fisheries regulation. The construction of the survey weights requires the distribution of daily departure times of anglers from fishing sites

Daniel Hernandez-Stumpfhauser, F. Jay Breidt, Jean D. Opsomer

Statistics in Transition New Series, Volume 17 , ISSUE 1, 91–104

research-article | 18-March-2020

Parental internalizing symptoms as predictors of anxiety symptoms in clinic-referred children

Children’s Anxiety Scale; DASS, Depression Anxiety Stress Scale; C, Child; M, Mother; F, Father. *Correlation is significant at the p < 0.05 level; **Correlation is significant at the p < 0.01 level; ***Correlation is significant at the p < 0.001 level Three multiple regression models were run (see Table 3). In the first model for child self-rated anxiety symptoms (SCAS-C), the predictors were mothers’ and fathers’ self-rated internalizing symptoms (DASS), child age, and child gender. This model

Krister Westlye Fjermestad, Christina Lium, Einar R. Heiervang, Odd E. Havik, Bente Storm Mowatt Haugland, Ingvar Bjelland, Gro Janne Henningsen Wergeland

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 8 , 18–24

Research Article | 14-February-2019

THE EFFECTIVENESS OF LOGISTICS DEVELOPMENT AND ITS IMPACT ON THE ECONOMIES OF THE COUNTRIES ALONG THE SILK ROAD PASSING THROUGH KAZAKHSTAN

of the Silk Road. A group of preliminary countries, through which lie main routes of the economic belt of Silk Road, including Kazakhstan, were selected. An analysis was carried out on the efficiency of development of logistics and trade, impact of development of logistics on international trade. Based on the analysis of international indices of logistics efficiency, international trade conditions and regression models, problems and reasons for lagging have been identified that affect the

Zhanarys RAIMBEKOV, Bakyt SYZDYKBAYEVA, Zhibek RAKHMETULINA, Darima ZHENSKHAN

Transport Problems, Volume 13 , ISSUE 4, 127–142

research-article | 30-November-2020

The effects of perceived discrimination, social support and ethnic identity on mental health of immigrant adolescents

emotional problems, and depression (d) peer attachment (to both Syrian and Turkish peers) will negatively affect emotional problems and depression. To test these hypotheses, two hierarchical regression models were used. Method Procedure Data for this study were collected from Syrian immigrant adolescents. Both ethical permissions for the study and the consent of school principals were obtained before the study. Parental consent form (in Arabic and Turkish) was sent to the homes, and none refused

Derya Atalan Ergin

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 9 , 127–136

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