Search Results - subject:"general linear model"

Comparison of household work intensity in Slovakia and Czechia through least squares means analysis based on GLM

Šoltés, Erik; Komara, Silvia; Košíková, Martina; … - In: Statistics in transition : an international journal of … 25 (2024) 4, pp. 1-26

The work intensity (WI) of a household is primarily monitored in order to identify (quasi-)jobless (QJ) households. QJ households are those households whose members use less than 20% of their work potential. Individuals in such households, together with income-poor and severely materially and...

Persistent link: https://www.econbiz.de/10015338058

Analysis of work intensity in Slovakia using testing and estimation of linear combinations of GLM parameters

Šoltés, Erik; Komara, Silvia; Šoltésová, Tatiana; … - In: Argumenta oeconomica 50 (2023) 1, pp. 43-66

Persistent link: https://www.econbiz.de/10014279369

Segmentation and estimation of claim severity in motor third-party liability insurance through contrast analysis

Reiff, Marian; Šoltés, Erik; Komara, Silvia; … - In: Equilibrium : quarterly journal of economics and … 17 (2022) 3, pp. 803-842

Persistent link: https://www.econbiz.de/10013450514

General linear model: an effective tool for analysis of claim severity in motor third party liability insurance

Šoltés, Erik; Zelinová, Silvia; Bilíková, Mária - In: Statistics in transition : an international journal of … 20 (2019) 4, pp. 13-31

model. The general linear model combines the analyses of variance and regression and makes it possible to measure the …The paper focuses on the analysis of claim severity in motor third party liability insurance under the general linear …

Persistent link: https://www.econbiz.de/10012158124

Descriptive statistics from published research : a readily available alternative to raw data to assess analytic reproducibility and robustness

Nimon, Kim; Conley, David; Bontrager, Marvin; Keiffer, … - In: Advances in developing human resources : ADHR 21 (2019) 4, pp. 421-437

Persistent link: https://www.econbiz.de/10012154511

THE ANALYSIS OF THE DISTRIBUTION OF EUROPEAN COUNTRIES ACCORDING TO THE ECONOMIC DEVELOPMENT LEVEL AND HEALTH STATUS OF THE POPULATION

Elisabeta, JABA; Brigitte, BALAN Christiana; Marina, OTELEA - In: Revista Economica 63.4-5 (2012) 4-5, pp. 188-198

The paper aims to find if and in which extent the number of diseases per 100000 persons (hospital discharges) vary by economic development level, type of disease (circulatory system disease, respiratory system disease and digestive system disease) and life style. In the paper we apply the...

Persistent link: https://www.econbiz.de/10010602654

All-Possible-Subsets for MANOVA and Factorial MANOVAs: Less than a Weekend Project

Nimon, Kim; Zientek, Linda Reichwein; Kraha, Amanda - In: International Journal of Adult Vocational Education and … 7 (2016) 2, pp. 88-112

Multivariate techniques are increasingly popular as researchers attempt to accurately model a complex world. MANOVA is a multivariate technique used to investigate the dimensions along which groups differ, and how these dimensions may be used to predict group membership. A concern in a MANOVA...

Persistent link: https://www.econbiz.de/10012043104

Secondary data analyses from published descriptive statistics : implications for human resource development theory, research, and practice

Nimon, Kim - In: Advances in developing human resources : ADHR 17 (2015) 1, pp. 26-39

Persistent link: https://www.econbiz.de/10011284335

On the equivalence of the BLUEs under a general linear model and its restricted and stochastically restricted models

Ren, Xingwei - In: Statistics & Probability Letters 90 (2014) C, pp. 1-10

parametric functions under a general linear model and its restricted and stochastically restricted models to hold. …

Persistent link: https://www.econbiz.de/10010776532

Estimation and test procedures for composite quantile regression with covariates missing at random

Ning, Zijun; Tang, Linjun - In: Statistics & Probability Letters 95 (2014) C, pp. 15-25

In this paper, we study the weighted composite quantile regression (WCQR) for general linear model with missing …

Persistent link: https://www.econbiz.de/10010939467