000			02855nam a22004335i 4500
999			_c120388 _d120388
001			120388
003			ES-MaUEC
005			20230102114039.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			200522s2020 gw a o |||| 0|eng d
020			_a9783030457990
024	7		_a10.1007/978-3-030-45799-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA276 _b2020 EB
100	1		_aStapor, Katarzyna _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/163992704 _9675821
245	1	0	_aIntroduction to Probabilistic and Statistical Methods with Examples in R / _cKatarzyna Stapor
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020
300			_a1 recurso en línea (VIII, 157 páginas) _b33 ilustraciones, 24 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aIntelligent Systems Reference Library _x1868-4394 _v176
490	0		_aEngineering (Springer-11647)
505	0		_aElements of Probability Theory -- Descriptive and Inferential Statistics -- Linear Regression and Correlation.
520	3		_aThis book strikes a healthy balance between theory and applications, ensuring that it doesn't offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R. The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike. .
988			_aSpringer_Engineering_23062020
650		7	_aEstadística matemática _2embne _9138936
650		7	_aR (Lenguaje de programación) _2embne _9164496
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729
776	0	8	_iPrinted edition: _z9783030457983
776	0	8	_iPrinted edition: _z9783030458003
776	0	8	_iPrinted edition: _z9783030458010
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-45799-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b09/2020 _dz _eo _zSI