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Strona ta\u00a0po\u015bwi\u0119cona jest problemowi oceny ryzyka niewyp\u0142acalno\u015bci przy wykorzystaniu metod syntetycznych (regresji logistycznej) w\u015br\u00f3d ma\u0142ych i\u00a0\u015brednich przedsi\u0119biorstw dzia\u0142aj\u0105cych w\u00a0krajach Grupy Wyszehradzkiej. Zosta\u0142a ona wykonana w\u00a0ramach projektu o\u00a0numerze 22420285, pt.\u00a0Distress prediction models in\u00a0V4 countries and their audit applicability<\/em> finansowanego przez\u00a0Mi\u0119dzynarodowy Fundusz Wyszehradzki.<\/p>\n [\/et_pb_text][dipi_button_grid flex_direction=”row” justify_content=”flex-start” justify_content_tablet=”flex-start” justify_content_phone=”flex-start” justify_content_last_edited=”on|phone” _builder_version=”4.27.0″ _module_preset=”default” z_index=”100″ hover_enabled=”0″ custom_css_free_form=”selector a.et_pb_button {|| font-size: clamp(16px, 2vw, 26px ) !important ;||}” global_colors_info=”{}” sticky_enabled=”0″][dipi_button_grid_child button_id=”Calculate the distress risk” button_text=”Oblicz ryzyko niewyp\u0142acalno\u015bci ” button_link=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjI3NCJ9fQ==@” _builder_version=”4.27.0″ _dynamic_attributes=”button_link” _module_preset=”default” custom_button=”on” button_text_color=”#141414″ button_bg_color=”RGBA(255,255,255,0)” button_border_width=”2px” button_border_color=”#141414″ button_border_radius=”50px” button_font=”–et_global_body_font|600|||||||” button_use_icon=”on” button_icon=”||fa||900″ button_on_hover=”off” button_custom_padding=”10px|60px|10px|30px|true|false” hover_enabled=”0″ global_colors_info=”{}” button_bg_color__hover_enabled=”on|hover” button_bg_color__hover=”#FFFFFF” button_bg_enable_color__hover=”on” button_custom_padding_last_edited=”on|phone” sticky_enabled=”0″ button_custom_padding_tablet=”|40px||20px|true|false” button_custom_padding_phone=”|40px||20px|true|false”][\/dipi_button_grid_child][dipi_button_grid_child button_id=”About” button_text=”O projekcie ” button_link=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6IjM4NyJ9fQ==@” _builder_version=”4.27.0″ _dynamic_attributes=”button_link” _module_preset=”default” custom_button=”on” button_text_color=”#141414″ button_bg_color=”RGBA(255,255,255,0)” button_border_width=”2px” button_border_color=”RGBA(255,255,255,0)” button_border_radius=”50px” button_font=”–et_global_body_font|600|||||||” button_use_icon=”on” button_icon=”||fa||900″ button_on_hover=”off” button_custom_padding=”10px|50px|10px|20px|true|false” global_colors_info=”{}” button_bg_color__hover_enabled=”on|desktop” button_bg_color__hover=”#FFFFFF” button_bg_enable_color__hover=”on”][\/dipi_button_grid_child][\/dipi_button_grid][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.0″ _module_preset=”default” positioning=”absolute” position_origin_a=”bottom_right” vertical_offset=”-11px” horizontal_offset=”-208px” horizontal_offset_tablet=”0px” horizontal_offset_phone=”0px” horizontal_offset_last_edited=”on|tablet” width=”100%” max_width=”1920px” custom_padding=”0px||0px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”][dipi_lottie_icon json_file=”https:\/\/www.distressriskinaudit.eu\/wp-content\/uploads\/2026\/03\/Modified_Gradient_Footer.json” speed=”1.3″ _builder_version=”4.27.0″ _module_preset=”default” background_color=”RGBA(255,255,255,0)” transform_scale_tablet=”” transform_scale_phone=”” transform_scale_last_edited=”on|phone” transform_translate_tablet=”” transform_translate_phone=”-20%|0px” transform_translate_last_edited=”on|phone” transform_translate_linked_phone=”off” transform_rotate=”0deg|180deg|0deg” transform_rotate_tablet=”0deg|180deg|0deg” transform_rotate_phone=”0deg|180deg|0deg” transform_rotate_last_edited=”on|phone” transform_skew_tablet=”” transform_skew_phone=”” transform_skew_last_edited=”on|phone” transform_origin_tablet=”” transform_origin_phone=”” transform_origin_last_edited=”on|phone” transform_styles_last_edited=”on|phone” position_origin_a=”bottom_center” vertical_offset=”-325px” width=”70%” width_tablet=”100%” width_phone=”150%” width_last_edited=”on|tablet” module_alignment=”right” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” transform_styles_tablet=”” transform_styles_phone=”” module_alignment_tablet=”right” module_alignment_phone=”center” module_alignment_last_edited=”on|phone” global_colors_info=”{}”][\/dipi_lottie_icon][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Prognozowanie ryzyka niewyp\u0142acalno\u015bci ma\u0142ych i\u00a0\u015brednich przedsi\u0119biorstw z\u00a0kraj\u00f3w Grupy WyszehradzkiejStrona ta\u00a0po\u015bwi\u0119cona jest problemowi oceny ryzyka niewyp\u0142acalno\u015bci przy wykorzystaniu metod syntetycznych (regresji logistycznej) w\u015br\u00f3d ma\u0142ych i\u00a0\u015brednich przedsi\u0119biorstw dzia\u0142aj\u0105cych w\u00a0krajach Grupy Wyszehradzkiej. Zosta\u0142a ona wykonana w\u00a0ramach projektu o\u00a0numerze 22420285, pt.\u00a0Distress prediction models in\u00a0V4 countries and their audit applicability finansowanego przez\u00a0Mi\u0119dzynarodowy Fundusz Wyszehradzki.