{"id":2737,"date":"2024-05-21T10:50:27","date_gmt":"2024-05-21T07:50:27","guid":{"rendered":"https:\/\/fti.dp.ua\/conf\/?p=2737"},"modified":"2024-05-21T10:50:28","modified_gmt":"2024-05-21T07:50:28","slug":"05257-1050","status":"publish","type":"post","link":"https:\/\/fti.dp.ua\/conf\/2024\/05257-1050\/","title":{"rendered":"Development of software for applied statistical analysis of random variables"},"content":{"rendered":"\n<h1 class=\"wp-block-heading citation_title\">Development of software for applied statistical analysis of random variables<\/h1>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h5 class=\"wp-block-heading citation_author\"><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong>Oleksii Klymenko<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/h5>\n\n\n\n<p class=\"citation_author_url\"><em>ORCID: <a href=\"https:\/\/orcid.org\/0009-0009-5164-1688\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/orcid.org\/0009-0009-5164-1688<\/a><\/em><\/p>\n\n\n\n<p><em>Oles Honchar Dnipro National University<\/em><\/p>\n<\/div><\/div>\n\n\n\n<div style=\"height:1em\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Classical applied mathematical statistics is a branch of mathematical science that deals with the development and application of mathematical methods and models for the collection, analysis, interpretation and presentation of empirical data. It includes a wide range of methods used to study patterns in data, estimate distribution parameters, test hypotheses, and make predictions. Classical applied mathematical statistics is used in various fields, such as: economics; medicine; social sciences; engineering As such, the industry provides important tools and techniques for data-driven decision-making, which is critical in many areas of today&#8217;s society. When conducting applied research, there is often a need to analyze a group of processes or objects that have certain qualitative or quantitative characteristics. Then the question arises regarding the choice of generator of pseudorandom variables. When choosing a generator, the following criteria should be taken into account: quality of randomness; speed of action; ease of implementation; security; the possibility of customization; application compliance. The generator should be fast enough for specific applications, especially if large amounts of random numbers are to be generated, but should be easy to implement in the desired programming environment. For example, for cryptographic applications, the generator must be resistant to attacks, that is, satisfy the requirements of cryptographic security. The generator should allow parameter settings to meet specific task requirements. The choice of generator should meet the specific needs of the project, be it simulation, cryptography, scientific computing, or other tasks. Therefore, the development of software with the ability to choose a generator of random variables is relevant. The developed software includes modern software generators that make it possible to use them for applied tasks of automation, computer-integrated technologies, robotics, non-destructive testing and cyber security, and information protection.<\/p>\n\n\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-right is-layout-flex wp-container-core-buttons-is-layout-765c4724 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/cims.fti.dp.ua\/j\/article\/view\/141\" target=\"_blank\" rel=\"noreferrer noopener\">FULL TEXT<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-default\"\/>\n\n\n\n<div style=\"height:1em\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-group is-vertical is-content-justification-right is-layout-flex wp-container-core-group-is-layout-b6c475e2 wp-block-group-is-layout-flex\">\n<div class=\"wp-block-group is-content-justification-right is-nowrap is-layout-flex wp-container-core-group-is-layout-fd526d70 wp-block-group-is-layout-flex\"><div class=\"taxonomy-post_tag wp-block-post-terms\"><a href=\"https:\/\/fti.dp.ua\/conf\/tag\/cims-2024-vernal\/\" rel=\"tag\">CIMS 2024 Vernal<\/a><\/div>\n\n<div class=\"wp-block-post-date\"><time datetime=\"2024-05-21T10:50:27+03:00\">May 21, 2024<\/time><\/div><\/div>\n\n\n<div class=\"taxonomy-category wp-block-post-terms\"><a href=\"https:\/\/fti.dp.ua\/conf\/session\/info-tech-2\/\" rel=\"tag\">Information Technology and Cybersecurity<\/a><\/div><\/div>\n\n\n\n<div style=\"height:1em\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-default\"\/>\n","protected":false},"excerpt":{"rendered":"<p>Development of software for applied statistical analysis of random variables Oleksii Klymenko ORCID: https:\/\/orcid.org\/0009-0009-5164-1688 Oles Honchar Dnipro National University Classical applied mathematical statistics is a branch of mathematical science that deals with the development and application of mathematical methods and models for the collection, analysis, interpretation and presentation of empirical data. It includes a wide range of methods used to study patterns in data, estimate distribution parameters, test hypotheses, and make predictions. Classical applied mathematical statistics is used in various &hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[35],"tags":[29],"class_list":["post-2737","post","type-post","status-publish","format-standard","hentry","category-info-tech-2","tag-cims-2024-vernal"],"_links":{"self":[{"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/posts\/2737","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/comments?post=2737"}],"version-history":[{"count":1,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/posts\/2737\/revisions"}],"predecessor-version":[{"id":2738,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/posts\/2737\/revisions\/2738"}],"wp:attachment":[{"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/media?parent=2737"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/categories?post=2737"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fti.dp.ua\/conf\/wp-json\/wp\/v2\/tags?post=2737"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}