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020 _a9783031510151
_9978-3-031-51015-1
024 7 _a10.1007/978-3-031-51015-1
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
100 1 _aChattamvelli, Rajan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_972609
245 1 0 _aCorrelation in Engineering and the Applied Sciences
_h[electronic resource] :
_bApplications in R /
_cby Rajan Chattamvelli.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXVI, 179 p. 10 illus., 8 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 _aSynthesis Lectures on Mathematics & Statistics,
_x1938-1751
505 0 _aMeasures of Association -- Pearson’s Correlation -- Rank Correlation -- Distribution of Correlation -- Applications of Correlation.
520 _aThis book focuses on correlation coefficients and its applications in applied science fields. The book begins by describing the historical development and various types of correlations. Rank correlation methods including Pearson’s, Spearman’s, and Kendall’s correlation are discussed at length. The book also discusses sampling distribution of correlation coefficients and applications of correlations in various fields. The book presents novel topics such as (i) a quick analytical method to approximate Pearson's correlation, (ii) single-variable correlation, (iii) fractional co-skewness and co-kurtosis, and (iv) the fallacy on correlation between the sample mean and sample variance. This book is ideal for courses on mathematical statistics, engineering statistics, and exploratory data analysis and is primarily aimed at upper-undergraduate and graduate level students. The book is also useful for researchers and professionals in various fields who are interested in data analysis. In addition, this book: Combines theory with numerical examples and includes the latest developments in the field Presents computer code in R software and features plentiful exercises throughout Features discussions on measures of association, rank correlation, and the distribution.
650 0 _aStatistics .
_965982
650 0 _aStatistics.
_965982
650 0 _aMultivariate analysis.
_972610
650 0 _aMeasure theory.
_971216
650 0 _aQuantitative research.
650 0 _aMathematical statistics.
_967233
650 1 4 _aApplied Statistics.
_965986
650 2 4 _aStatistical Theory and Methods.
_972611
650 2 4 _aMultivariate Analysis.
_972612
650 2 4 _aMeasure and Integration.
_971219
650 2 4 _aData Analysis and Big Data.
650 2 4 _aMathematical Statistics.
_967233
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031510144
776 0 8 _iPrinted edition:
_z9783031510168
776 0 8 _iPrinted edition:
_z9783031510175
830 0 _aSynthesis Lectures on Mathematics & Statistics,
_x1938-1751
856 4 0 _uhttps://doi.org/10.1007/978-3-031-51015-1
912 _aZDB-2-SXSC
999 _c58174
_d58174