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001 978-3-030-45799-0
003 DE-He213
005 20220801215705.0
007 cr nn 008mamaa
008 200522s2020 sz | s |||| 0|eng d
020 _a9783030457990
_9978-3-030-45799-0
024 7 _a10.1007/978-3-030-45799-0
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
082 0 4 _a519
_223
100 1 _aStapor, Katarzyna.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_945884
245 1 0 _aIntroduction to Probabilistic and Statistical Methods with Examples in R
_h[electronic resource] /
_cby Katarzyna Stapor.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aVIII, 157 p. 33 illus., 24 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v176
505 0 _aElements of Probability Theory -- Descriptive and Inferential Statistics -- Linear Regression and Correlation.
520 _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. .
650 0 _aStatistics .
_931616
650 0 _aEngineering—Data processing.
_931556
650 0 _aEngineering mathematics.
_93254
650 1 4 _aApplied Statistics.
_945885
650 2 4 _aData Engineering.
_932525
650 2 4 _aEngineering Mathematics.
_93254
710 2 _aSpringerLink (Online service)
_945886
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030457983
776 0 8 _iPrinted edition:
_z9783030458003
776 0 8 _iPrinted edition:
_z9783030458010
830 0 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v176
_945887
856 4 0 _uhttps://doi.org/10.1007/978-3-030-45799-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77760
_d77760