scholarly journals Two-component structure of household income distributions in Poland

Equilibrium ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. 603-622
Author(s):  
Piotr Łukasiewicz ◽  
Krzysztof Karpio ◽  
Arkadiusz Orłowski
Keyword(s):  
Household Income ◽  
Value Added ◽  
Parametric Models ◽  
Normal Model ◽  
Component Structure ◽  
Income Distributions ◽  
Pareto Model ◽  
Two Component ◽  
Complex Models ◽  
Log Normal

Research background: Studies of the structures of the income distributions have been performed for about 15 years. They indicate that there is no model which describes the distributions in their whole range. This effect is explained by the existence of different mechanisms yielding to low-medium and high incomes. While more than 97% of the distributions can be described by exponential or log-normal models, high incomes (about 3% or less) are in agreement with the power law. Purpose of the article: The aim of this paper is an analysis of the structure of the household income distributions in Poland. We verify the hypothesis about two-part structure of those distributions by using log-normal and Pareto models. Methods: The studies are based on the households’ budgets microdata for years 2004–2012. The two-component models are used to describe the income distributions. The major parts of the distributions are described by the two parametric log-normal model. The highest incomes are described by the Pareto model. We also investigate the agreement with data of the more complex models, like Dagum, and Singh-Madalla. Findings & Value added: One has showed that two or three parametric models explain from about 95% to more than 99% of income distributions. The poorest agreement with data is for the log-normal model, while the best agreement has been obtained for the Dagum model. However, two-part model: log-normal for low-middle incomes and Pareto model for the highest incomes describes almost the whole range of income distributions very well.

INVESTIGATING THE RELATIONSHIPS BETWEEN EXPRESSED CANCER RELATED GENES AND SURVIVAL OF PATIENTS WITH BREAST CANCER

2021 ◽  
Vol 5 (2) ◽  
pp. 327-333
Author(s):  
Chinenye Nworah ◽  
Bashir Sule
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Dynamic Range ◽  
Pearson Correlation ◽  
Expression Patterns ◽  
Parametric Models ◽  
Normal Model ◽  
Breast Cancer Patients ◽  
Expression Levels ◽  
Log Normal

Cancer stem cells are regulated by complex interactions with the components of the tumor microenvironment through networks of Cytokins and growth factors. These interactions are mediated by group of proteins and microRNAs (miRs), which are expressed or repressed. These expression levels are critical for cancer stem cell formation and expansion, enabling the promotion of tumor cell proliferation and migration, as well as for the survival of cancer recurrence and patient survival. Micro array and RNA deep sequencing (RNA-seq) provide tools with ability to generate transcriptome information, deciphering global gene expression patterns and quantifying a large dynamic range of expression levels. In this study 94 breast cancer patients were investigated based on miR and mRNA expression levels in which WDR1, APC and AKAP13 genes were identified as genes that play important role in the survival of patients and these genes differed significantly with respect to survival of patients. We used the Pearson correlation to identify the over-expressed and under-expressed genes. We demonstrated that parametric survival models can be used to model outcomes for breast cancer, and for our dataset the log-normal model demonstrated the best fit compared to other parametric models. Through the use of log-normal model, we examined how each of the identified genes influence the survival of breast cancer patients.

scholarly journals A possible two-component structure of the non-perturbative Pomeron

2000 ◽  
Vol 486 (1-2) ◽  
pp. 71-76 ◽  
Author(s):  
Pierre Gauron ◽  
Basarab Nicolescu
Keyword(s):  
Component Structure ◽  
Two Component

scholarly journals Dependence modelling in multivariate claims run-off triangles

2012 ◽  
Vol 7 (1) ◽  
pp. 3-25 ◽  
Author(s):  
Michael Merz ◽  
Mario V. Wüthrich ◽  
Enkelejd Hashorva
Keyword(s):  
Closed Form ◽  
Central Issue ◽  
Normal Model ◽  
Closed Form Solutions ◽  
Prediction Uncertainty ◽  
Run Off ◽  
Classical Models ◽  
Dependence Modelling ◽  
Log Normal ◽  
Dependence Structures

AbstractA central issue in claims reserving is the modelling of appropriate dependence structures. Most classical models cannot cope with this task. We define a multivariate log-normal model that allows to model both, dependence between different sub-portfolios and dependence within sub-portfolios such as claims inflation. In this model we derive closed form solutions for claims reserves and the corresponding prediction uncertainty.

scholarly journals Postcensal Estimates of Household Income Distributions

Demography ◽  
1989 ◽  
Vol 26 (1) ◽  
pp. 149 ◽  
Author(s):  
Lois Fonseca ◽  
Jeff Tayman
Keyword(s):  
Household Income ◽  
Income Distributions

scholarly journals Dynamics of the concept CANADA in English-Canadian poetic texts of the 18th–21st centuries

2019 ◽  
Keyword(s):  
Structural Components ◽  
Canadian History ◽  
Component Structure ◽  
Cognitive Characteristics ◽  
Two Component ◽  
Poetic Texts ◽  
English Canadian ◽  
Historical Periods ◽  
Cultural Features ◽  
Selection Of

The article deals with the trends of historical dynamics of linguistic and cognitive characteristics of the concept Canada in English-Canadian poetic texts of the 18th–21st centuries. This research deploys a complex semantic and cognitive analysis of its lexical-semantic nominative means of poetic texts. As a result specific features of national, cultural and author’s knowledge encoded in the poetic texts are identified and classified. The lexical nominative means of the concept Canada are viewed in terms of two groups of nominative means: direct and figurative. All the nominations are classified according to several criteria. Direct and figurative nominative means of the concept Canada variously characterize physical, geographical, territorial, demographic, social, political, historical, and cultural features of the Canadian state. The variability in priority of thematic nomination groups of the concept Canada in different historical periods of the statehood formation reveals the influence of the extralingual factors on the authors’ selection of nominative means of the concept Canada. The concept Canada combines the features of both a literary, cultural and a toponymic concept. It has been modeled as a complex two-component structure that includes a sensory-notional and a figurative component. Historically conditioned transformations of the structural components of the concept Canada is interpreted in terms of its invariant and diachronically variable linguistic and cognitive characteristics. During three periods of Canadian history, the transformations of the structural components of the concept Canada reveal themselves as either the hierarchic shifts of the literary concepts-slots in the sensory-notional component or as the variability of the set of conceptual metaphors in its figurative component.

Personal Disturbance Scale: Factor Structure Confirmed in a Large Nonclinical Sample

2005 ◽  
Vol 96 (1) ◽  
pp. 107-108 ◽  
Author(s):  
Alan Bedford ◽  
J. D. Henry ◽  
J. R. Crawford
Keyword(s):  
Clinical Study ◽  
Factor Structure ◽  
Short Form ◽  
Psychiatric Patients ◽  
Scale Factor ◽  
Anxiety And Depression ◽  
Component Structure ◽  
Two Component ◽  
Nonclinical Sample

The two-component structure of anxiety and depression items of the short form Personal Disturbance Scale, reported in an earlier clinical study of 480 adult psychiatric patients, was substantially replicated in a large nonclinical sample of 758 adults.

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