000 | 04034nam a22006015i 4500 | ||
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001 | 978-3-031-32330-0 | ||
003 | DE-He213 | ||
005 | 20240730165338.0 | ||
007 | cr nn 008mamaa | ||
008 | 230621s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031323300 _9978-3-031-32330-0 |
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024 | 7 |
_a10.1007/978-3-031-32330-0 _2doi |
|
050 | 4 | _aTA329-348 | |
050 | 4 | _aTA345-345.5 | |
072 | 7 |
_aTBJ _2bicssc |
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_aTBJ _2thema |
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_a620 _223 |
100 | 1 |
_aChattamvelli, Rajan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _988528 |
|
245 | 1 | 0 |
_aDescriptive Statistics for Scientists and Engineers _h[electronic resource] : _bApplications in R / _cby Rajan Chattamvelli, Ramalingam Shanmugam. |
250 | _a2nd ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
|
300 |
_aXI, 130 p. 8 illus., 3 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSynthesis Lectures on Mathematics & Statistics, _x1938-1751 |
|
505 | 0 | _aDescriptive Statistics -- Measures of Location -- Measures of Spread -- Measures of Skewness and Kurtosis. | |
520 | _aThis book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. This includes measures of location, spread, skewness, and kurtosis; absolute and relative measures; and classification of spread, skewness, and kurtosis measures, L-moment based measures, van Zwet ordering of kurtosis, and multivariate kurtosis. Several novel topics are discussed including the recursive algorithm for sample variance; simplification of complicated summation expressions; updating formulas for sample geometric, harmonic and weighted means; divide-and-conquer algorithms for sample variance and covariance; L-skewness; spectral kurtosis, etc. A large number of exercises are included in each chapter that are drawn from various engineering fields along with examples that are illustrated using the R programming language. Basic concepts are introduced before moving on to computational aspects. Some applications in bioinformatics, finance, metallurgy, pharmacokinetics (PK), solid mechanics, and signal processing are briefly discussed. Every analyst who works with numeric data will find the discussion very illuminating and easy to follow. In addition, this book: Provides exercises throughout that are illustrated via the R programming language Assists readers to do various numeric data transformations, normality testing, etc. Aids readers to build, analyze, and interpret various descriptive statistical models Presents numerous examples from various engineering fields. | ||
650 | 0 |
_aEngineering mathematics. _93254 |
|
650 | 0 |
_aEngineering _xData processing. _99340 |
|
650 | 0 |
_aQuantitative research. _94633 |
|
650 | 0 |
_aStatisticsĀ . _931616 |
|
650 | 0 |
_aProbabilities. _94604 |
|
650 | 1 | 4 |
_aMathematical and Computational Engineering Applications. _931559 |
650 | 2 | 4 |
_aData Analysis and Big Data. _988530 |
650 | 2 | 4 |
_aApplied Statistics. _945885 |
650 | 2 | 4 |
_aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _931790 |
650 | 2 | 4 |
_aStatistics. _914134 |
650 | 2 | 4 |
_aProbability Theory. _917950 |
700 | 1 |
_aShanmugam, Ramalingam. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _988532 |
|
710 | 2 |
_aSpringerLink (Online service) _988534 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031323294 |
776 | 0 | 8 |
_iPrinted edition: _z9783031323317 |
776 | 0 | 8 |
_iPrinted edition: _z9783031323324 |
830 | 0 |
_aSynthesis Lectures on Mathematics & Statistics, _x1938-1751 _988536 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-32330-0 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
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