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  1.  

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    		$a 10.4236/jfrm.2023.122010 $2 DOI
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    		$a 20231018d2023 m y slo 03 ba
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    		$a Measurement of income inequality and its determinants in district Dir lower $f Abdul Waris, Sher Khan ... [et al.]
    330
    		$a The objective of the present study was to measure income inequality and to analyze determinants of income inequality of the households in the study area conducted in three villages Madinaabad, Shamshikhan, and Ziarat were randomly selected from the Lower Dir district. Data were randomly collected from 82 sample households with the help of an interview schedule. Ginicoefficient, Palma ratio was used to measure income inequality in the selected area while Lorenz curve was used to represent income and inequality. A logistic regression model was used for analyzing the determinants of income inequality of the households in the research area. Results of the study revealed that the value of Gini-coefficient for villages Madinaabad, Shamshikhan, Ziarat and for the overall area were 0.22, 0.30, 0.34, and 0.31 while Palma ratio for villages Madinaabad, Shamshikhan, Ziarat, and for the overall area were 0.63, 0.88, 1.14 and 1.06, respectively. Results of binary logistic regression showed that the odds ratio of age, education and the number of dependents was 1.084, 0.862, and 0.306, respectively, which showed that income inequality increases with the increase of one year of age by 8.4 percent. In contrast, education and earners decrease income inequality in the research area. Based on research findings, providing quality education and proper use of land resources can reduce income inequality in the study area.
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    		$1 001 umb_un_cat*0323570 $1 011 $a 2167-9533 $1 011 $a 2167-9541 $1 200 1 $a Journal of financial risk management $v Vol. 12, no. 2 (2023), pp. 180-202 $1 210 $a Irvine $c SCIRP $d 2023
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    		$3 umb_un_auth*0041444 $a logistická regresia $X logistic regression
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    		$3 umb_un_auth*0158897 $a nerovnosť príjmového rozdelenia
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    		$3 umb_un_auth*0298754 $a Khan $b Sher $4 070 $9 20
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    		$u https://www.scirp.org/journal/paperinformation.aspx?paperid=125657 $a Link na plný text
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  2.  

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    		$a 10.1016/j.ins.2018.12.090 $2 DOI
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    		$a biblio/122160 $2 CREPC2
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    		$a 20190523d2019 m y slo 03 ba
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    		$a eng
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    		$a Mixture functions and their monotonicity $f Jana Špirková ... [et al.]
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    		$a We consider mixture functions, which are a type of weighted averages for which the corresponding weights are calculated by means of appropriate continuous functions of their inputs. In general, these mixture function need not be monotone increasing. For this reason we study sufficient conditions to ensure standard, weak and directional monotonicity for specific types of weighting functions. We also analyze directional monotonicity when differentiability is assumed. (C) 2019 Elsevier Inc. All rights reserved.
    463
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    		$1 001 umb_un_cat*0288023 $1 200 1 $a Information sciences $v Vol. 481, (2019), pp. 520-549 $1 210 $a New York $c Elsevier Science Ltd. $d 2019 $1 011 $a 0020-0255 $1 011 $a 1872-6291
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    		$3 umb_un_auth*0167357 $a aggregation functions
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    		$3 umb_un_auth*0118278 $a monotonicity
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  3.  

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    		$a 10.1016/j.nonrwa.2009.10.003 $2 DOI
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    		$a 20101004d2010 m y slo 03 ba
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    		$a eng
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    		$a On the existence of business cycles in Asada's two-regional model $f Peter Maličký, Rudolf Zimka
    463
    -1
    		$1 001 umb_un_cat*0309979 $1 011 $a 1468-1218 $1 200 1 $a Nonlinear Analysis $e Real World Applications $v Vol. 11, no. 4 (2010), pp. 2787-2795 $1 210 $a Oxford $c Elsevier Ltd. $d 2010
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  4.  

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    		$a Úroveň vybraných pohybových schopností žiakov základných škôl v Banskej Bystrici $f Zuzana Pupišová, Ján Pavlík
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