The Application of Spatial Analysis Methods in the Real Estate Market in South‑Eastern Poland
Acta Universitatis Lodziensis. Folia Oeconomica, 2018 The aim of the article is to apply the method of spatial analysis to research the real estate property market in south‑eastern Poland. The methods of spatial statistics will be used to model the space differences of prices per one square metre of ...
Dorota Dejniak
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Quality Control in Production Processes
Acta Technologica Agriculturae, 2016 The tools for quality management are used for quality improvement throughout the whole Europe and developed countries. Simple statistics are considered one of the most basic methods. The goal was to apply the simple statistical methods to practice and to
Prístavka Miroslav +2 more
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A review and comparison of methods for recreating individual patient data from published Kaplan-Meier survival curves for economic evaluations: a simulation study. [PDF]
PLoS ONE, 2015 In general, the individual patient-level data (IPD) collected in clinical trials are not available to independent researchers to conduct economic evaluations; researchers only have access to published survival curves and summary statistics. Thus, methods
Xiaomin Wan, Liubao Peng, Yuanjian Li
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Development of small and medium-sized business sector in the Republic of Bashkortostan
Вестник Северо-Кавказского федерального университета, 2023 Introduction. The article considers the main trends in the development of small and medium-sized businesses in the Republic of Bashkortostan for the period 2018 – 2022.
E. R. Mamleeva +2 more
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Regression density estimation with variational methods and stochastic approximation [PDF]
, 2012 Regression density estimation is the problem of flexibly estimating a response distribution as a function of covariates. An important approach to regression density estimation uses finite mixture models and our article considers flexible mixtures of ...
Tan, S.L. +11 more
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Regularized estimation of large-scale gene association networks using graphical Gaussian models [PDF]
, 2009 Graphical Gaussian models are popular tools for the estimation of (undirected) gene association networks from microarray data. A key issue when the number of variables greatly exceeds the number of samples is the estimation of the matrix of partial ...
Schäfer, Juliane +10 more
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BDgraph: An R Package for Bayesian Structure Learning in Graphical Models
Journal of Statistical Software, 2019 Graphical models provide powerful tools to uncover complicated patterns in multivariate data and are commonly used in Bayesian statistics and machine learning.
Reza Mohammadi, Ernst C. Wit
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Studia Ekonomiczne i Regionalne, 2020 Subject and purpose of work: The contemporary labour market in Poland is characterised by a large scale of migration of people, caused by the desire to find a good job. This situation is facilitated by the possibility of free movement within the European
Czapski Grzegorz
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On family of the Caputo-type fractional numerical scheme for solving polynomial equations
Applied Mathematics in Science and Engineering, 2023 Fractional calculus can be used to fully describe numerous real-world situations in a wide range of scientific disciplines, including natural science, social science, electrical, chemical, and mechanical engineering, economics, statistics, weather ...
Mudassir Shams +5 more
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E-learning support for Economic-mathematical methods
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2009 Article is describing process of creating and using of e-learning program for graphical solution of linear programming problems that is used in the Economic mathematical methods course on Faculty of Business and Economics, MZLU.
Pavel Kolman
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