000 03860nam a22005895i 4500
001 978-981-99-4661-7
003 DE-He213
005 20250516155946.0
007 cr nn 008mamaa
008 240110s2024 si | s |||| 0|eng d
020 _a9789819946617
_9978-981-99-4661-7
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aMustafy, Tanvir.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aStatistics and Data Analysis for Engineers and Scientists
_h[electronic resource] /
_cby Tanvir Mustafy, Md. Tauhid Ur Rahman.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aIX, 180 p. 259 illus., 230 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 _aTransactions on Computer Systems and Networks,
_x2730-7492
505 0 _aGeneral Overview -- Introduction to MATLAB -- The Fundamentals of Microsoft Excel -- Introduction to SPSS.
520 _aThis textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs-Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses,and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world. .
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aQuantitative research.
650 0 _aMathematical statistics
_xData processing.
650 0 _aEngineering
_xData processing.
650 1 4 _aComputational Intelligence.
650 2 4 _aData Analysis and Big Data.
650 2 4 _aStatistics and Computing.
650 2 4 _aData Engineering.
700 1 _aRahman, Md. Tauhid Ur.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819946600
776 0 8 _iPrinted edition:
_z9789819946624
776 0 8 _iPrinted edition:
_z9789819946631
830 0 _aTransactions on Computer Systems and Networks,
_x2730-7492
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-4661-7
912 _aZDB-2-INR
912 _aZDB-2-SXIT
942 _cLIBRO_ELEC
999 _c273963
_d273962